Jobs

About the position

Senior AI Engineer – Real Estate Tech We’re building an innovative product in the real estate space and seeking a Senior AI Engineer to join our founding AI team. This role involves turning generative AI concepts into production-ready features and shaping intelligent software experiences.

Responsibilities

AI Agent Development: Build autonomous and conversational AI agents to enhance productivity and automate workflows.AI/ML System Development: Architect scalable AI systems using AWS AI services and open-source frameworks.Full-Stack Integration: Collaborate with Ruby on Rails backend and React frontend teams for AI feature integration.Data Pipeline Management: Design robust pipelines for real estate datasets to support model training and inference.Performance & Monitoring: Optimize deployed models, APIs, and agents for reliability, accuracy, and cost efficiency.Innovation & Research: Apply LLMs, RAG, and agentic AI to solve complex problems.Technical Leadership: Mentor peers, contribute to coding standards, and influence AI strategy.Lifecycle Ownership: Handle AI development from concept to deployment and iteration.Requirements

5+ years in AI, ML, or software engineering with production AI experienceProficient in Python ; experience with PyTorch, TensorFlow, LangChainHands-on cloud deployment ( AWS preferred )Strong understanding of LLMs, Generative AI, RAG, data structures, algorithms, distributed systemsExcellent collaboration and cross-functional teamworkNice-to-haves

Experience with Ruby on Rails and React integrationKnowledge of vector databases (Pinecone, FAISS, Weaviate)Familiarity with MLOps tools (SageMaker, MLflow)Interest in real estate technology

We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'. An AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.

This role is a mix of a few worlds coming together. You’ll be working with machine learning but not in a vacuum it’s applied to real engineering problems, working with 2D and 3D data from CAD, CAE, and CAM systems. A big part of the work is taking complex geometry, design workflows, and simulation data and figuring out how to turn that into something an AI system can actually understand and use.

We’re looking for someone who’s strong technically, especially in Python and ML, but also has the curiosity to dig into how things are designed and built in the real world. You might come from a research background or industry but either way you’re comfortable moving between theory and practical application. If you’ve spent time around mechanical systems or engineering design, that’s a big plus, because a lot of this role is about bridging that gap between advanced models and how engineers actually work day to day.

Responsibilities

Design, develop, and maintain geometry processing and simulation algorithms for engineering applications.
Build services for reading, processing, and writing 2D/3D engineering data.
Develop rendering modules for generating 2D/3D visual assets.
Curate and manage large-scale datasets for learning-based systems.
Implement and optimize post-training workflows for machine learning models.
Contribute to the development of domain-specific languages for engineering tasks.

What we are looking for

5+ years of academic or industry experience in one or more of the following areas: Geometric Processing, Simulation, Optimization, Machine Learning, or Domain-Specific Languages.
BSc or MSc in Compute

GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity.

Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute.

About this role:In this role, you'll build the next generation of AI tools that preserve and enhance critical thinking for humanity. The ideal candidate is someone who is adept at creating reliable AI agents, prompt engineering, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders to create industry-defining software that has attracted millions of users globally.

What you'll contribute:Fine-tune and evaluate state-of-the-art language models

Optimize prompts to maximize classification accuracy, personalize outputs, and enforce style guidelines

Develop multi-agent workflows incorporating data from diverse sources using RAG

Improve and iterate on AI agents using observability and experimentation tools

Stay up-to-date with the latest literature and emerging technologies to solve novel problems

Work closely with product and design teams to develop intuitive applications that create societal impact

Qualifications3+ YOE in Python

1+ YOE in LLM framework like Langchain or LlamaIndex

1+ YOE with agentic or RAG applications

Strong exploratory data analysis (EDA) skills to effectively leverage data in a way that informs pragmatic solutions

Experience pushing the cutting-edge in LLM abilities on novel tasks with subjective outputs

Excellent software engineer with experience building highly extensible and modular

LLM Engineer
12 month+ contract
100% Remote

Position Summary

Position Summary
The LLM Engineer is responsible for designing, developing, and deploying large language model solutions that support enterprise operations. This role focuses on Azure AI services, Azure OpenAI, and the integration of LLM capabilities into internal applications and workflows. The engineer will work closely with cross-functional teams to turn business requirements into scalable, production-ready AI solutions.

Key Responsibilities
• Design, develop, and deploy LLM-based applications using Azure AI, Azure OpenAI, and related cloud services
• Build retrieval-augmented generation (RAG) pipelines, embeddings, vector stores, and prompt workflows
• Integrate LLM capabilities into enterprise platforms such as Power Platform, Microsoft 365, and internal systems
• Prepare, clean, and transform data for LLM consumption and build feature and inference pipelines
• Implement model monitoring, lifecycle management, evaluations, and performance tuning
• Collaborate with automation engineers, product owners, and business stakeholders to assess and scope use cases
• Document solution architectures, model workflows, and technical designs
• Evaluate emerging AI tools, frameworks, and best practices
• Support troubleshooting, testing, and responsible AI standards

Required Skills and Experience
• Strong hands-on experience with Azure AI services, Azure OpenAI, or similar LLM platforms
• Proficiency in Python and common ML libraries (scikit-learn, pandas, PyTorch, TensorFlow)
• Practical experience building and deploying LLM applications, including embeddings, RAG, prompt engineering, and fine-tuning
• Understanding of data pipelines, model evaluation, and monitoring
• Experience integrating LLM solutions into enterprise systems
• Ability to communicate complex AI concepts clearly to both business and technical stakeholders

Preferred Experience
• Exposure to Power Platform AI Builder, Copilot Studio, or Micro

About Zapier We\'re humans who simply think computers should do more work. At Zapier , we’re not just making software—we’re building a platform to help millions of businesses globally scale with automation and AI . Our mission is to make automation work for everyone by delivering products that delight our customers . You’ll collaborate with brilliant people, use the latest tools, and leverage the flexibility of remote work. Your work will directly fuel our customers’ success , and as they grow, so will you. Job Posted: 8/19/25 Location: Americas At Zapier, we\'re on a mission to make automation work for everyone. That means building products that empower people to do more with less and designing systems that scale as our users grow. Zapier’s AI Orchestration Zone is building the infrastructure that will power the next era of automation. Currently, we are hiring for multiple teams within the zone: Zapier MCP Zapier\'s MCP team is building our own Model Context Protocol (MCP) — an open standard designed to let AI agents seamlessly reason, act, and orchestrate workflows across Zapier’s 8,000+ integrations. The MCP team is specifically looking for folks with strong backend expertise. Agents Zapier’s Agents Team is building one of the most transformative products in the company’s history — Zapier Agents , an AI-powered automation assistant that helps users delegate work across 8,000+ apps using natural language and real user workflows The Agents team is looking for engineers with a balanced skill set across both frontend and backend , as well as those who bring deeper expertise on the backend . We’re looking for a Senior Backend Engineers as well as Senior Full Stack Engineers (frontend and backend) to join our team. If you\'re excited about creating developer experiences and integration pathways for AI-driven systems - and you thrive at the intersection of cutting-edge AI tools and reliable platform engineering - this could be your

Who are we?

Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and Agents. We believe that our work is instrumental to the widespread adoption of AI.

We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.

Join us on our mission and shape the future!

Why this role?We’re a fast-growing startup building production-grade AI agents for enterprise customers at scale. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic work

A company is looking for a Full-Stack AI Engineer for a remote opportunity. Key Responsibilities Design, develop, and maintain enterprise-grade AI and ML solutions Integrate AI models into Microsoft Copilot Studio and manage their lifecycle on AWS SageMaker or Azure ML Collaborate with teams to embed AI services into core business systems and mentor junior engineers Required Qualifications 2-5 years of experience in software engineering, ML, and/or MLOps Proficiency in Python and ML frameworks such as Scikit-learn, PyTorch, and TensorFlow Hands-on experience with Microsoft Copilot Studio, Power Automate, and Power Apps Bachelor's or Master's degree in Computer Science, Data Science, or a related field Experience deploying AI pipelines in AWS SageMaker or Azure ML

A leading technology company is seeking a Senior AI and LLM Engineer to innovate and integrate advanced AI solutions into their workflows. The ideal candidate will have an MS in a related field, over 8 years of experience, and strong skills in Python and AI frameworks. You will collaborate with engineering teams and design AI systems to enhance efficiency. The role offers a competitive salary range of $184,000 - $287,500 based on experience and location, with remote and hybrid work options. #J-18808-Ljbffr

Company Overview

Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track—while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable.

Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology.

Backed by over $50 million in funding from top investors – such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments – Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator’s #1 GovTech startup.

About the Role

We’re looking for a mission-driven engineer who wants to make real-world impact—fast.
At Promise, we help low-income families catch up on bills and access the financial relief they deserve. Our technology connects governments, utilities, and people—turning complex systems into simple, dignified experiences.

As a Software Engineer – Forward Deployed AI, you’ll sit at the intersection of software engineering, customer engagement, and applied AI. You’ll work hands-on with our partners to bring AI-powered solutions to life—building integrations, automations, and data workflows that help deliver public aid faster and more equitably.

This is a role for someone who loves to build, experiment, and collaborate directly with customers. You’ll see your code make a difference on day one—and you’ll learn how to bridge deep tech and human impact.

What You’ll

About the position

We are seeking an experienced LLM Engineer to join our client's newly established LLM Ops Team in their Raleigh, NC office. In this role, you will be responsible for managing the complex lifecycle of Large Language Models from development to deployment, monitoring, and continuous improvement.\n\nThis role is hybrid to the Raleigh, NC area.

Responsibilities

Fine-tune pre-trained models for specific use casesCurate and prepare datasets for trainingManage training infrastructure, resources, and computational environmentsImplement optimization techniques to improve model performanceDevelop and manage APIs for model servingScale infrastructure to handle varying demand loadsBuild and maintain the GenAI middleware/sidecar layerIntegrate LLMs with existing systems and data sourcesTrack performance metrics including latency and throughputMonitor quality metrics such as hallucination rates and accuracyOptimize costs associated with model inference and trainingCreate and maintain dashboards for real-time performance insightsCreate and maintain golden datasets for benchmark testingImplement statistical validation methods for model outputsSet up similarity matching criteria for response evaluationDevelop confidence score thresholds for production systemsDesign and implement user feedback collection systemsEstablish continuous improvement processesCreate A/B testing frameworks for model and feature evaluationConduct trace analysis to identify areas for performance optimizationImplement content moderation systemsDetect and mitigate bias in model outputsEnsure regulatory compliance in AI systemsDevelop output validation frameworksVersion and store prompts systematicallyCreate and maintain prompt templatesSet up playground environments for prompt testingAbstract prompts from application code for better maintainabilityRequirements

Experience with LLM development, fine-tuning, and deploymentStrong programming skills, particularly in PythonExperience with Kubeflo

About Tribe AI:

At Tribe, we’re on a mission to help enterprises rearchitect their business with AI. Today, every large enterprise wants to transform its business with AI, but they often lack the capabilities to do so. At Tribe, this gap is our opportunity.

We embed senior engineers to design, ship, and operate AI systems where correctness is probabilistic, failure modes are subtle, and success is measured by adoption, stability, and business outcomes.

About the Role

This is a forward-deployed, hands-on engineering role for people who’ve lived through multiple technology waves and know the difference between what’s exciting and what survives production.

You’ll embed with enterprise teams to build and harden LLM-powered systems under real constraints: hallucinations, retrieval failures, agent misbehavior, silent regressions, cost explosions, and shifting data distributions. You own systems end-to-end, from architecture through post-launch behavior.

This is not a research role, a prompt-only role, or a feature factory.

It is a delivery role for engineers who can make stochastic systems behave well enough that businesses rely on them.

‍

Examples of what You’ll Own:

Own production AI systems end-to-end
• Design, build, deploy, and operate LLM-powered systems in production.
• Own reliability for probabilistic systems: hallucinations, grounding, drift, latency, and cost.
• Make tradeoffs explicit when correctness, speed, and cost are in tension.

LLM, RAG, and/or Agentic Systems experience
• Build and debug RAG pipelines: ingestion, chunking, retrieval quality, reranking, grounding, and evaluation.
• Design agent workflows that interact with tools, APIs, and data without looping, stalling, or hallucinating authority.
• Identify when agents are the wrong abstraction and kill them early.

Evaluation, Observability, and Drift
• Build and maintain evaluation frameworks for LLM outputs (offline, online, human-in-the-loop).
• Detect silent regressions caused by model

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".

We are looking for an outstanding Senior Agentic AI Engineer to build groundbreaking mutli-modal agentic AI Solutions for NVIDIA software stack. As a member of the team, you will develop new agentic AI solutions to accelerate software design, code generation, performance improvement, testing and every component in SDLC. You will collaborate closely across internal teams and organizations and see your work used in products all over the world.

What you'll be doing:
• Collaborate with software and hardware teams to identify high-impact opportunities for applying agentic AI technologies.
• Lead the design, development, and optimization of agentic AI solutions that address challenges in performance, quality and productivity.
• Develop and maintain agentic AI benchmarks to evaluate performance across diverse use cases.

What we need to see:
• Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred.
• 3 years+ industry or academia experience with AI systems development; exposure to building foundational models, reinforcement learning, agents or orchestration frameworks; hands-on experience with deep learning frameworks and inference stacks.
• Strong C/C++ and Python programming skills and solid software engineering fundamentals.
• Outstanding problem-solving abilities and effective interpersonal skills.

Ways to stand out from the crowd:
• Hands-on experience with multimodal agentic AI frameworks.
• Deep expertise in building, training, and fine-tuning foundation models.
• Experience desi

DeVry University strives to close our society’s opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces.

Our colleague experience is an area of obsessive focus. At DeVry University, we care about you. Because, only through you can we deliver our unique Care Formula to our learners and partners.

Overview

The Applied AI Prompt Engineer designs, optimizes, and maintains the prompts, agent behaviors, context structures, and Retrieval-Augmented Generation (RAG) workflows that power DeVry’s enterprise AI ecosystem—including Copilot, ChatGPT, agentic workflows, and internal knowledge tools.

This is a hybrid role blending prompt engineering, operational AI lifecycle management, and cross-functional collaboration. You will rapidly prototype prompt variations, run evaluations, maintain knowledge pipelines, and ensure outputs remain accurate, compliant, and aligned with DeVry’s tone and policies.

The ideal candidate is fast, curious, experimental, and skilled at translating human-to-human support scenarios into reliable AI-driven interactions.

Key Responsibilities

Prompt Design & Optimization
• Design and maintain high-quality prompts, and agent instructions for enterprise AI platforms.
• Rapidly prototype and iterate prompt variants using structured experimentation, evaluation metrics, and A/B testing.
• Build evaluation rubrics, structured test cases, and prompt datasets to measure accuracy, tone, consistency, and policy alignment.
• Adapt prompts for higher-education use cases (e.g., advising, HR, faculty support, IT, student services) while maintaining institutional tone and compliance.

RAG & Knowledge Integration
• Curate and manage document ingestion, embeddings, and knowledge base updates to ensure relevant, current, and contex

Location: Remote (Global)

Compensation: Competitive, dependent on experience

Type: Full-Time Contractor (2+ months, potential to extend)

Reports to: Managing Partner

About HELO Solutions

HELO Solutions is an AI consulting and product development company. We build production AI systems — agents, automation platforms, and intelligent workflows — for enterprise clients across industries including CPG, financial services, legal, and music. We also develop our own AI products. We are a small, high-output team that ships fast, operates with minimal bureaucracy, and holds a high bar for work that actually runs in production and gets used.

About the Role

We are hiring an AI Engineer who has built agents that are live in production at real companies — not demos, not prototypes that died after a pitch, not research projects. We need someone who has shipped agentic systems that enterprises depend on every day, and who understands the full lifecycle: scoping the business problem, designing the agent architecture, integrating with messy enterprise systems, building evaluation and monitoring, and keeping it running reliably.

This role sits across two priorities equally: building our internal multi-agent AI platform and delivering agent-based solutions directly to enterprise clients. You will work closely with our engineering team and the Managing Partner. You will have significant autonomy and direct impact on both the product and the business.

Responsibilities

Design, build, and deploy AI agents and multi-agent systems that solve real business problems for enterprise clients.
Architect and implement agent orchestration — coordination, handoffs, shared state, and communication between specialized agents within our multi-agent platform.
Integrate agents with enterprise systems (ERPs, CRMs, accounting platforms, APIs) to execute workflows end-to-end in production environments.
Build evaluation frameworks and production monitoring for deployed agents — loggi

Agentic AI Engineer
Enterprise Integrations, Intelligent Automation & AI Platform Delivery

Department: IT & Digital Transformation
Reports to: Sr. Director, Infrastructure & BI
Type: 6 month contract

Location: Remote - US

The Opportunity
Accuris Technologies is executing a company-wide AI transformation across 40+ initiatives spanning Finance, Sales, Marketing, Legal, RevOps, Product, HR, and Customer Experience. We have a funded roadmap, active enterprise AI licenses, and governed integrations already live across our core systems.

We are looking for an Agentic AI Engineer to lead technical delivery-building connectors, agents, and workflows that transform our CRM, ERP, HRIS, and data platforms into a unified, natural-language-driven experience. This role will bring our AI strategy to life through real, production-grade systems.

Core Responsibilities
• Design and build agentic systems that orchestrate across ERP, CRM, data warehouse, HRIS, and BI platforms
• Develop multi-step AI workflows including tool selection, data retrieval, reasoning, and response generation
• Build and extend enterprise integrations, including authentication (OAuth, SSO) and RBAC enforcement
• Deliver AI-powered business solutions such as pricing engines, SDR automation, contract workflows, and executive dashboards
• Implement governance frameworks including audit logging, data lineage, and PII protection
• Partner with business teams to translate workflows into AI-enabled solutions
• Drive adoption through reusable prompts, tools, and training for non-technical users

What We're Looking For
• 3+ years building API integrations with CRM, ERP, or HRIS systems
• Strong Python experience with LLM APIs and SDKs
• Experience with agentic architectures (tool use, function calling, multi-step workflows)
• Familiarity with AI frameworks (LangChain, MCP, or similar)
• Experience with OAuth, SSO/SAML, and enterprise authentication
• Background in data platforms, BI tools, and enterprise data gove

Overview:
UP.Labs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products.
We're seeking a highly skilled professional to join our growing team and contribute to our mission of launching the next wave of successful startups.

Technical Challenge:
As a Machine Learning Engineer at UP.Labs, You will design, develop, and deploy advanced machine learning and generative AI solutions that drive innovation across our venture portfolio. Your work will span the full ML lifecycle—from data pipeline architecture and model development to production deployment and optimization on cloud platforms. This is a hands-on role requiring strong technical expertise, creativity, and a passion for innovation in the transportation industry.

In this role you will:
• Lead the development and deployment of computer vision solutions (image classification, object detection, segmentation, OCR) alongside scalable machine learning systems including predictive models, recommendation systems, and advanced analytics pipelines.
• Design and build scalable backend systems and APIs that serve ML models and integrate with data infrastructure.
• Collaborate with data scientists, software engineers, and business stakeholders to identify opportunities for machine learning applications.
• Implement end-to-end ML workflows, including data preparation, model training, evaluation, and deployment.
• Develop and maintain production-grade ML systems, ensuring reliability and accuracy over time.
• Conduct thorough model testing, validation, and monitoring to ensure accuracy and stability.
• Stay current with the latest advancements in machine learning, artificial intelligence, and cloud technologies.

Required Skills:
• Strong experience in computer vision, including image classification, object detection, segmentation, OCR, and deploying vision-based m

Job Title: AI/ML Engineer

Job Type: Full-Time

Job Summary

Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.

Key Responsibilities
• Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
• Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
• Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
• Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
• Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
• Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
• Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.

Required Skills And Qualifications
• Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
• Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
• Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
• Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
• Background in building and maintaining data pipelines, ontologies, me

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 87,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business.

The Opportunity

We don't just use AI. We build with it, ship with it, and think with it. We're in the top 1% of companies applying AI effectively, not just to our products, but to how we build them. With an unlimited budget for Anthropic tokens, our engineers use AI agents to write, review, and ship production code every day. We're building toward a world where humans design systems and AI builds them, and we're already further along that path than almost anyone else.

As a Staff Software Engineer, you'll be a technical leader at the center of this transformation. You'll shape platform architecture, drive AI-powered product delivery, and raise the bar for what a small, AI-augmented engineering team can accomplish. This is a role for someone who already lives in their terminal with AI, who has strong opinions about how AI changes system design, and who wants to help define what a next-generation engineering organization looks like.
What You'll Do as a Staff Engineer on Our Auggie Platform Team

Here are examples of the kinds of initiatives you'd work on today:

Multi-agent orchestration and execution. Design and build the core systems that let multiple autonomous agents collaborate, delegate, and execute complex business workflows in production — not chatbot interactions, but structured multi-step operations running across real business data.

Autonomous workflow automation. Build the automation layer that turns business processes into agent-driven workflows with structured data models, conditional logic, and human-in-the-loop review queues that keep autonomous systems safe and reli

Job Title: Lead AI Engineer – AI Foundations, LLM Core & Agentic AI

Location- Remote

Role Summary

We are seeking a Lead AI Engineer to drive the design and development of advanced AI systems, with a focus on foundational models, Large Language Models (LLMs), and agentic AI frameworks. This role will lead the architecture and deployment of scalable, production-grade AI solutions that power intelligent automation and next-generation applications.

Key Responsibilities
• Lead the design and development of AI/ML systems with a focus on LLMs and agent-based architectures.
• Build and optimize pipelines for training, fine-tuning, and deploying large language models.
• Architect AI platforms supporting retrieval-augmented generation (RAG), embeddings, and vector databases.
• Develop and manage agentic workflows, orchestration layers, and multi-agent systems.
• Integrate AI capabilities into enterprise applications via APIs and microservices.
• Ensure scalability, performance, and reliability of AI systems in production.
• Collaborate with data scientists, software engineers, and product teams to deliver AI-driven solutions.
• Establish best practices for prompt engineering, model evaluation, and responsible AI.
• Implement monitoring, logging, and continuous improvement for deployed AI systems.
• Stay up to date with advancements in generative AI, LLM frameworks, and tooling.

Required Skills & Qualifications
• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field.
• 7–10+ years of experience in software engineering/AI engineering, with strong hands-on expertise in ML systems.
• Deep understanding of:
• Large Language Models (LLMs) and transformer architectures
• NLP, embeddings, and semantic search
• Retrieval-Augmented Generation (RAG)
• Strong programming skills in Python (preferred) and experience with ML frameworks (PyTorch, TensorFlow).
• Experience with LLM ecosystems and tools (e.g., LangChain, LlamaIndex, vector DBs like Pine

Who we are at Osmo:

Osmo is a digital olfaction company, on a mission to give computers a sense of smell to improve the health and wellbeing of human life. Why? Our sense of smell both enriches and saves lives, and has a deep and direct connection to our emotions and memory.

Olfactory Intelligence has applications across industries including fragrance, manufacturing, security, medicine, and more. We believe in the power of automation and thoughtfully applied AI/ML to solve problems beyond the reach of human intuition alone. Osmo is headquartered in New York, NY, with a new facility in New Jersey, and offices in Somerville, MA.

The Role
We are hiring a Forward Deployed AI Engineer to help build Osmo’s enterprise solutions business.
You will work directly with leading consumer packaged goods (CPG) companies to solve complex fragrance challenges using AI. This role sits at the intersection of engineering, product, and commercial teams.
You will translate customer problems into technical solutions, build rapid prototypes, and deploy systems that deliver measurable value.

What You’ll Do
Work directly with customers

Partner with leading CPG companies to understand product and fragrance challenges

Translate business problems into technical solutions

Build prototypes and solutions

Develop AI-driven prototypes that demonstrate value and unlock deals

Collaborate with internal engineering teams to turn prototypes into deployable systems

Support enterprise engagements

Provide technical leadership during customer discussions and negotiations

Help design scalable solutions for enterprise deployments

Own implementation

Serve as the technical lead during pilots and deployments

Ensure successful delivery and adoption of Osmo solutions

Help build a new business
Identify repeatable solutions across customers

Contribute to building a $100M enterprise solutions business

Who You Are
Strong software engineering and systems design skills
Comfortable building rapid protot

JOB DESCRIPTION

Job Summary

Designs and builds company specific enterprise application systems and technology expertise across multiple disciplines.

Applies and promotes key principles (e.g., stability, scalability, performance, security, compatibility, re-use), helping ensure a balance between tactical and strategic technology solutions. Considers business problems “end-to-end”: including people, process, and technology, both within and outside the enterprise, as part of any design solution. Promotes use of industry and enterprise technology standards. Monitors emerging technologies for potential application within or across the Corporation. Adheres to design and application development standards, methodology and, framework within Architectural compliance and governance.

KNOWLEDGE/SKILLS/ABILITIES
• Develops software (hands on code development) to meet key business objectives.
• Practices and leads SW and applications development methodologies in adherence to SW development standards.
• Designs and develops SW applications or systems solving specific business or processing problem (Web or Mobile).
• Gathers business requirements and develops conceptual design and technical design for multiple projects concurrently.
• Reviews computer system capabilities, work flow and scheduling limitations to determine if requested program or program change is possible within existing system.
• Conducts peer review of other developers (internal and contract staff) to ensure standards and quality.
• Responsible for quality deliveries for self and application engineers. Participates in build vs. buy evaluation process.
• Leads architecture and design discussions in adherence to SW development standards.
• Provides design and architectural expertise on application systems / technologies, to both technical teams and business partners.
• Responsible to support the application system / service owner for system performance, budgeting, and planning.
• Responsible for application syste