Jobs

AI,C#,ASP.NET 4.5,Java,LLM,Python,Vector,Semantic Kernel, AI Foundry ,LLMs (Azure OpenAI, OpenAI, Anthropic,MicroServices,Azure DevOps,Docker,Kubernetes

Role Descriptions: 8 years of Strong proficiency in Python| C| or Java Hands-on experience in building RAG-based systems and implement RAG pipelines using embeddings| vector search| and LLMsSolid experience with Vector Databases and embedding-based search e.g. Azure AI SearchPractical experience with Semantic Kernel| AI Foundry| Lang Chain| LlamaIndex| or similar frameworks| Azure ServicesExperience working with LLMs (Azure OpenAI| OpenAI| Anthropic| or equivalent)Strong understanding of REST APIs| microservices| and cloud-native architecturesExperience in developing secure| scalable APIs and services to support AI-driven applicationsEnsure best practices around security| data privacy| observability| and cost optimizationExperience in building multi-agent and tool-using workflows using Semantic Kernel| AI Foundry| or similar orchestration frameworksCollaborate with product| data science| and platform teams to translate business requirements into AI solutionsExperience deploying applications on cloud platforms (Azure preferred)Familiarity with CICD| containerization (Docker)| and orchestration (Kubernetes is a plus)
Essential Skills: AI C ASP.NET 4.5 Java LLM Python Vector Semantic Kernel AI FoundryLLMs (Azure OpenAI OpenAI Anthropic MicroServices Azure DevOps Docker Kubernetes
Desirable Skills:
Keyword:
Skills: Digital : Python~Digital : Docker~Core Java~ASP.NET 4.5
Experience Required: 8-10

Technology

Software Engineer - LLM Applications and AI Agents

Location

:

San Jose

Employment Type

:

Regular

Job Code

:

A00574A

Responsibilities

Join us in pushing the boundaries of AI technology and creating the next generation of intelligent systems that will transform data platforms. We are seeking a highly skilled and innovative Software Engineer to join our cutting-edge Agentic Engine team. As part of a division of the data platform team which focuses on LLM adoption, you will have the opportunity to work with state-of-the-art AI technologies and design architectures that apply LLMs to real-world industry challenges in data development platform areas. This role puts you at the forefront of AI innovation, shaping the future of intelligent systems.

Responsibilities:

Stay abreast of the latest advancements in AI technologies, particularly in LLMs, Retrieval-Augmented Generation (RAG), and AI agents
Develop expertise in data development platforms and drive technological innovation within the team
Design and implement sophisticated architectural solutions for integrating LLM technology into business applications
Collaborate with cross-functional teams to create scalable and efficient AI-powered systems
Contribute to the development of AI agents capable of complex reasoning and task execution
Qualifications

Minimum Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related technical field;
Minimum of 3 years of experience in software engineering, with a focus on AI/ML applications
Demonstrated experience in complex system design and architecture, particularly in AI-driven environments
Strong proficiency in at least one of the following programming languages: Python, Java, C++, Golang, or Rust
Experience with big data processing and distributed computing systems
Excellent problem-solving skills and ability to think creatively in a fast-paced environment
Str

AI EngineerConsultant

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non-functional requirements), partnering closely with product, data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions.

This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline.

Recruiting for this role ends on August 30, 2026Work You'll Do:

As an AI Engineer Consultant, you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM-based experiences.Key Responsibilities:

Partner with the Lead AI Solutions Architect and AI Data Engineer to design, build, and deploy secure, scalable AI solutions (APIs, services, pipelines, containers/serverless) that meet availability, performance, and security requirements.

Build and operationalize LLM-enabled products (copilots, HR knowledge assistant, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including prompt/context patterns and tool/function calling.

Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid search) plus evaluation and retrieval telem

LOCATION: Bethesda, Maryland (On-site / Not-remote)

Overview

We are seeking an experienced AI/LLM Engineer to lead the design, customization, and integration of large language models (LLMs) into biomedical research workflows and information retrieval systems. We are looking for someone with hands-on experience training, fine-tuning, augmenting, and deploying LLMs in production environments, ideally within biomedical or life sciences domains. The role is product-oriented and forward-looking, focused on building the next generation of AI-enabled search, retrieval, and knowledge discovery tools.

This role serves as a subject matter expert (SME) across multiple product and engineering teams. The selected candidate will help define, architect, and implement LLM-driven capabilities across a portfolio of NCBI services. The position requires strong technical depth, sound architectural judgment, and the ability to collaborate effectively within existing product and technical ecosystems.

This is a hands-on, build-oriented role with strategic influence. The candidate must be capable of guiding both what gets built and how it gets built.

Only serious candidates accepted - we are not seeking candidates that have recently graduated with a masters degree in the past 1-2 years.

We are seeking candidates with at least 3+ years experience doing this work after your last degree.

Key Responsibilities

Serve as the AI/LLM subject matter expert across product and engineering teams.
Collaborate with product managers and technical leads to define AI-enabled capabilities and define the use of LLMs across NCBI platforms (e.g., PubMed and related systems).
Develop and implement retrieval-augmented generation (RAG) systems integrating LLMs with large-scale biomedical datasets.
Provide architectural guidance on model selection, domain adaptation, evaluation strategies, and deployment approaches.
Improve model grounding, factual accuracy, and scientific

If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.

As a Principal Software Engineer at JPMorgan Chase within the Corporate Sector - AI/ML Data Platforms team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to promote best-in-class outcomes across various technologies to support one or more of the firm's portfolios.

Job responsibilities

+ Build AI enabled consumer centric and business use-case products using LLMs, RAG, Agents

+ Design, develop software solutions, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.

+ Develops secure high-quality production code, and reviews and debugs code written by others.

+ Develops innovative AI/ML solutions for the LLM Suite platform utilizing public cloud architecture and modern standards, specifically with Azure, AWS using both commercial and open source models

+ Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.

+ Influences leaders and senior stakeholders across business, product, and technology teams

+ Creates durable, reusable software frameworks that are leveraged across teams and functions.

+ Adds to team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

+ Formal training or certification on software engineering concepts and 10+ years applied experience

+ Hands on experience of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.

+ Hands-on experience delivering system design, application developme

About iBusiness

iBusinessis a leading financial technology company transforming the way banks, credit unions, and lenders innovate. As apioneerinsecureAI, automation, and AI software development,iBusinessbuilds infrastructure and platforms that empower financial institutions to modernize faster-without sacrificing compliance or security. Its technologyenablesseamless digital transformation across lending, banking, and customer experience systems, giving institutions the tools to compete and innovate at enterprise scale.

Join us and be part of a team that's transforming the finance industry and empowering businesses to thrive!

Position Description

We are seeking an experienced expert AI Knowledge Data Engineerto design, implement, and scale state-of-the-art AI systems that combine large language models (LLMs), advanced retrieval techniques, cognitive memory architectures, including knowledge representation, and data fusion. In this role, you will orchestrate robust data pipelines, architect scalable training data solutions, and build the foundational knowledge bases that power next-generation AI agents. You will collaborate with cross-functional teams to ensure our systems efficiently retrieve, contextualize, and generate accurate information for diverse business applications.

Major Areas of Responsibility

Architect, implement, and optimize retrieval-augmented generation (RAG) workflows by integrating local LLMs (e.g., Llama) with retrieval mechanisms (vector search, Elasticsearch, FAISS, Weaviate).Design, build, and maintain scalable data pipelines for ingesting, transforming, indexing, and retrieving structured and unstructured data from diverse sources.Design, build, and scale addressable services and tools specifications that can be leveraged by LLMs and Agents to orchestrate workflows.Orchestrate and scale training data operations, including data curation, versioning, and lineage tracking for large-scale LLM training and fine-tuning.Develop and m

Machine Learning Engineer - Applied LLMs
• *4+ years' commercial AI/ML Engineering experience required - STRONG software engineering skillset.

We are currently partnered with a fast-growing heavily-funded AI startup who are revolutionizig Healthcare through cutting-edge Automation. Their product is used by 500,000 users and the business are backed by a host of Tier-1 VCs. This is an opportunity to build a product that has significant impact, both to large Healthcare firms, but also to consumers at the end of the line.

They are looking for Machine Learning Engineers who bridge the gap between Machine Learning and Software Engineering to help shape the future of AI-powered Healthcare automation.

You will be responsible for the design, build, and deployment of AI models to power the autonomous sales agent, and will develop and optimize LLM pipelines for real-time, personalized outreach. You'll also work closely with the product and engineering teams to integrate AI capabilities into the platform and will lead prompt engineering, fine-tuning, and multi-agent architectures.

Key experience;
• 4+ Years' commercial exp. in AI / Machine Learning
• Experience building and shipping AI/ML models (e.g., LLMs, RAG pipelines, NLP applications)
• Proficiency in Python and frameworks such as PyTorch or TensorFlow
• Experience with vector databases and tools like LangChain or LlamaIndex
• Strong problem-solving skills and a builder’s mindset
• Experience in a startup or fast-paced environment is a plus

We are looking for people with a track record of building and shipping quickly, and who have experience working in dynamic startups.

Please apply for more info.

We are looking for a highly skilled
*AI/ML Engineer – Module Lead**
with strong experience in
*Generative AI and Large Language Models (LLMs)**
. In this role, you will design, develop, and deploy scalable AI solutions leveraging advanced models such as
*GPT**
,
*LLaMA**
, and
*Gemini**
.
You will play a key role in building
*Retrieval-Augmented Generation (RAG) pipelines**
, optimizing AI model performance, and integrating AI capabilities into production systems.
This role is ideal for engineers passionate about building
*real-world Generative AI applications at scale**
.
Key Responsibilities
Develop and fine-tune*Large Language Models (LLMs)**
and Generative AI applications.
Design and implement*Retrieval-Augmented Generation (RAG) pipelines**
for intelligent knowledge retrieval.
Work with vector databases such as*Pinecone**
,
*Milvus**
, and
*Chroma**
.
Optimize AI models for*performance, latency, scalability, and cost efficiency**
.
Implement*AI safety and guardrails**
to ensure responsible and secure AI usage.
Collaborate with cross-functional teams including*data scientists, software engineers, and product teams**
to deploy AI solutions into production environments.
Stay updated with the latest advancements in*Generative AI, deep learning, and LLM technologies**
.
Document architecture, models, and best practices for scalability and knowledge sharing.
Required Skills
Strong expertise in*Artificial Intelligence and Machine Learning algorithms**
.
Hands-on experience working with*Large Language Models (LLMs)**
such as GPT, Llama, or Gemini.
Experience building*RAG pipelines**
and working with vector databases.
Proficiency in ML frameworks such as*PyTorch**
or
*TensorFlow**
.
Experience with LLM frameworks like*LangChain**
or
*LlamaIndex**
.
Strong understanding of*prompt engineering, model fine-tuning, and evaluation techniques**
.
Experience implementing*AI monitoring, governance, and safety controls**
.
Preferred Skills
Experience deploying AI solutions on clo

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job Description

Job Title: Agentic AI Developer (Entry-Level)
Job Location: Bellevue, WA (Hybrid)

About the job you’re considering
The Entry-Level Agentic AI Engineer role focuses on designing and delivering intelligent, AI driven engineering solutions for Automotive and Aerospace customers. This position blends MBSE, CAD/PLM (3DEXPERIENCE, CATIA, No Magic) expertise with LLM based agent development to enable design automation, knowledge extraction, digital thread integration, and decision support. The role requires strong mechanical engineering fundamentals and hands on experience building scalable, enterprise grade GenAI solutions.

Your Role
• Design and develop LLM based intelligent agents using Python and modern agent frameworks.
• Build AI driven solutions for engineering use cases such as knowledge extraction, design automation, and model transformation.
• Develop and integrate MBSE workflows using No Magic / Cameo Systems Modeler and SysML.
• Basic knowledge on CATIA V5/V6 and 3DEXPERIENCE automation solutions using EKL, CAA, Python, and macros.
• Integrate CAD, MBSE, and PLM systems to enable digital thread and digital engineering workflows.
• Develop Retrieval Augmented Generation (RAG) pipelines for engineering knowledge systems.
• Design APIs and orchestrate workflows for engineering copilots and assistants.
• Collaborate with cross functional teams to architect scalable, enterprise grade engineering solutions.
• Develop POCs, technical documentation, and solution architectures for customer engagements.
• Support cloud based deployment of AI solutions, pr

AstraZeneca is a global, science-driven biopharmaceutical company. We are dedicated to discovering, developing, and delivering innovative, meaningful medicines and healthcare solutions that enrich the lives of patients. In AstraZeneca Oncology, our goal is to be at the forefront of developing the next generation of cancer therapies.

This Staff Engineer Agentic AI role is located in either Boston, MA, or Gaithersburg, MD

Main Duties and Responsibilities

There is an exciting opportunity for a talented and motivated Engineer to join the group as a Staff Engineer for Agentic AI. In this role, you will:

Build Agentic AI driven solutions that tackle scientific research problems.

Develop, test, and support Agentic tools for Genomics, Computational Pathology, Clinical Trials, etc.

Automate complex data analysis processes.

Introduce leading AI technologies applied to cancer research.

Essential Requirements

Relevant graduate degree: Computer Science, Engineering, or Bioinformatics.

Minimum of 10 years of applied experience in software engineering, data science, machine learning, bioinformatics, or relevant field.

Hands-on experience building Agentic AI systems and deploying them to production.

Programming skills: Solid Python and/or TypeScript programming skills

Vast Experience in: Unix, SQL databases, REST APIs, Cloud computing (AWS).

Vast Experience in software development best practices.

Desirable:

AI frameworks, such as Pydantic-AI, LangChain, etc.

Experience in RAG, vector databases.

An understanding of LLMs / Foundation models technologies.

Experience in at least one compiled programming language (e.g. any of C, Java, Go, Rust, etc.).

The annual base pay for this position ranges from $177,520.00 - $266,280.00. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportu

Role: Senior Engineer Agentic AI Location: Any US Location - must be willing to travel per business need

Job Description:

Preface The Agentic AI Engineer is a hands-on development role at TCS (Americas) specializing in building and deploying AI agent solutions for clients. As businesses shift toward agentic AIautonomous systems that execute tasks independentlyroles like AI Agent Engineer have emerged. In this client-facing consulting position, youll work in a hybrid environment, delivering cutting-edge AI agents that blend large language models, custom prompts, data sources, and business logic. Projects can range from financial chatbots to manufacturing optimizers, requiring advanced prompt engineering, Retrieval-Augmented Generation (RAG), and strong software skills.

What You Would Be Doing
• Develop AI Agents & Applications: Code the core logic for AI agents, whether standalone or in multi-agent systems, enabling them to answer questions, generate content, or execute transactions.
• Coding with LLMs and Tools: Use Python or similar languages to integrate large language models (LLMs) and external tools (e.g., APIs, web search, databases).
• Prompt Engineering & Optimization: Craft, refine, and test prompts to guide agent behavior, including fallback strategies for uncertainty.
• Implement RAG for Knowledge: Connect AI agents to vector databases or search indices to ground outputs in up-to-date, domain-specific information.
• System Integration & APIs: Integrate AI agents with external systems (e.g., travel booking APIs, payment gateways), handling formatting, RESTful calls, and data responses as needed.
• Testing and Iteration: Simulate agent behavior, identify and fix failure modes, and tune prompts and code for high-quality results.
• Deploy AI Solutions: Package and deploy agent applications (Docker, cloud), ensuring scalability and proper configuration.
• Collaboration & Agile Delivery: Work with AI Architects, Data Engineers, and UX Developers in agile team

Description

4 Days in the office from any of our locations in Johnston RI, Iselin NJ, Westwood or Medford MA, or Phoenix AZ

Role is not relocation eligible.

Senior AI Software Engineer (Agentic AI / AI Agents)

About the Role

We are seeking a hands-on, results-driven Senior AI Software Engineer to build and scale Agentic AI capabilities—AI systems that can plan, act, and complete tasks through tool use and workflow orchestration—across enterprise platforms. This role is pivotal in delivering secure, reliable, and compliant AI Agents that integrate into customer and colleague journeys, accelerate time-to-market, and improve operational efficiency.

You will operate at the intersection of software engineering and applied AI, owning end-to-end delivery—from architecture and implementation to deployment, observability, and operational excellence.

Key Responsibilities

Build and Operate AI Agents (Agentic AI Engineering)

• Design and implement AI Agent architectures (planner/executor patterns, multi-step reasoning flows, tool-use orchestration) to execute business tasks end-to-end.

• Build tooling and integrations for agents (APIs, internal services, data tools, workflow engines), including secure action execution, approvals, and guardrails.

• Engineer agent behaviors for reliability: deterministic fallbacks, bounded autonomy, retries, idempotency, and safe failure modes for partial completion.

Agent Platforms, Reuse, and Scale

• Develop reusable agent frameworks and components: shared tool registry, prompt/tool contracts, agent memory strategies, policy enforcement, and standardized observability.

• Enable teams to embed agents into multiple products/channels via SDKs, reference implementations, and well-defined APIs, reducing duplication and improving consistency.

• Implement evaluation pipelines for agents: task success rate, tool-call accuracy, groundedness, latency/cost, and regression testing across agent versions.

• Build production-grade RAG pipeline

Where Data Does More. Join the Snowflake team.
As a Lead Engineer for the AI Enterprise team at Snowflake, you lead our AI Forward Deployed Engineering team, working directly with customers and our product team to design and implement cutting-edge AI solutions on the Data Cloud. You will leverage your expertise in software development to create scalable systems, including retrieval-augmented generation, LLM-powered agents, and real-time ML pipelines. This role combines technical innovation with practical implementation to drive customer success.
IN THIS ROLE AT SNOWFLAKE, YOU WILL:
*
Lead and drive implementation of Snowflake data solutions, providing expert guidance and translating business needs into actionable solutions
*
Design and develop advanced AI and ML solutions using Snowflake Cortex and Snowflake ML
*
Collaborate on data pipelines and governance frameworks while leveraging advanced analytics capabilities
*
Engage with clients as primary technical point of contact, effectively communicating complex concepts
*
Mentor team members and contribute to fostering a high-performance culture
*
Drive innovation and continuous improvement in our AI solutions and methodologies
WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:
*
B.Sc. in Computer Science
*
10+ years of software development experience
*
Deep expertise in AI/ML technologies and implementation
*
Strong project management and delivery capabilities
*
Excellent communication and stakeholder management skills
*
Proven track record of technical leadership and mentoring

WHY JOIN OUR TEAM AT SNOWFLAKE?
Join our innovative AI Forward Deployed Engineering team where you'll work on cutting-edge technologies that shape the future of data and AI solutions. You'll have the opportunity to solve complex technical challenges while working directly with customers to deliver impactful solutions. Our team combines technical excellence with practical implementation, offering you the chance to grow your expertise while contribut

About Oversight

Oversight is the world’s leading provider of AI-based spend management and risk mitigation solutions for large enterprises. Based in Atlanta, GA, Oversight works with many of the world’s most innovative companies and government agencies to digitally transform their spend audit and financial control processes.

Oversight’s AI-powered platform works across our customers’ financial systems to continuously monitor and analyze all spend transactions for fraud, waste, and misuse. With a consolidated, consistent view of risk across their enterprise, customers can prevent financial loss and optimize spend while strengthening the controls that improve compliance. Learn More.

Position Overview:

We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs), generative AI, and agentic architectures to join our growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls.

The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks, and data pipelines, coupled with hands-on experience experimenting with LLMs, small language models (SLMs), multi-agent frameworks, and retrieval-augmented generation (RAG).

You will work closely with AI/ML researchers, data engineers, and product teams to design, implement, and optimize models that power autonomous exception resolution, anomaly detection, and explainable insights. This is a hands-on engineering role where you will not only build and scale ML systems but also actively contribute to cutting-edge applied research in agentic AI.
Core ML/LLM Engineering
• Contribute to the design, training, fine-tuning, and deployment of ML/LLM models for production.
• Implement RAG pipelines using vector databases.
• Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi-agent workflows.
• Develop prompt engineeri

Pennington, New Jersey 08534 Posted April 9th, 2026

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Job Type: Full Time

Job Category: IT

Role: Python Engineer – Agentic AI & MCP Orchestration

Location: Jersey City, NJ/ Pennington, NJ

FTE only

Job Description

Must Have Technical/Functional Skills

Technical Skills
• Strong hands-on experience in Python for building production-grade applications.
• Experience developing agentic AI applications (multi-agent workflows, tool-using agents, autonomous task execution).
• Expertise with AI orchestration frameworks (agents, tools, planners, workflow controllers).
• Practical experience setting up and configuring Model Context Protocol (MCP) servers.
• Ability to implement and integrate MCP Clients with external systems and AI models.
• Proficiency working with LLMs, prompt engineering patterns, and structured output handling.
• Experience with API integration, event-driven interactions, and tool/skill registration for agents.
• Strong understanding of asynchronous Python (asyncio, concurrency patterns).
• Familiarity with vector stores, embeddings, RAG pipelines, and memory architectures (nice to have).
• Experience working with CI/CD, Git, testing frameworks (pytest), and secure coding practices.

Functional Skills
• Ability to translate business problems into agent-driven automation workflows.
• Strong debugging and troubleshooting of distributed agent behavior and orchestration flows.
• Familiarity with governance, model safety constraints, and responsible AI usage patterns.
• Strong documentation habits for API schemas, MCP interface definitions, and agent lifecycle behavior.
• Effective communication with architects, product teams, and business stakeholders.
• Comfort working in Agile environments with rapid experimentation and iteration.

Roles Responsibilities

Design and develop Python-based agentic applications capable of orchestrating autonomous and semi-autonomous workflows.
• Build, configure, and maintain