Jobs

IMC is embedding agentic AI directly into the developer workflow for our production-critical systems. As a member of the Agentic AI engineering team, you’ll help build agents, MCP servers, and evaluation loops that make AI-generated code reliable, auditable, and fast to ship. You’ll work closely with experienced engineers and platform teams to deliver pragmatic, high-impact AI integrations at scale.

What You’ll Do
• Contribute to the platform by implementing agents, MCP servers, and supporting services that propose and apply changes to large codebases
• Assist in developing retrieval systems that give AI agents and developers accurate, up-to-date context from large codebases and design artifacts
• Help measure and improve AI-generated changes by building compile/test/evaluate pipelines (static analysis, style and safety checks, performance gates, code review)
• Apply IMC’s best practices in concurrency, telemetry, configuration hygiene, and performance-sensitive code paths to ensure AI outputs are reliable and idiomatic
• Collaborate with teammates on experiments to evaluate and improve AI-driven workflows

What You Bring
• BS+ in Computer Science (or related) with strong fundamentals (algorithms, data structures, systems)
• Proficiency in a high-level programming language (Java or Python preferred)
• Experience contributing to developer-facing or production systems
• Curiosity and eagerness to learn about AI/LLM application patterns, even if you haven’t worked closely with them yet
• Strong communication skills; comfortable working with engineers in a fast, collaborative environment

Nice to Have
• Exposure to AI tools or workflows (e.g., LangChain, LangGraph, AutoGen, or similar)
• Experience with retrieval systems (vector search, embeddings, or hybrid approaches)
• Familiarity with compiler/static analysis or large-scale refactoring tools
• Interest in customizing or fine-tuning open-weight models
• Knowledge of model-serving or evaluation infrastructure

Why Th

Location Designation: Hybrid - 3 days per quarter

As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth - driving the company's success.

The Identity & Access Management (IAM) Developer is a senior, hands-on engineering role responsible for designing, developing, and supporting enterprise IAM capabilities at New York Life. This role focuses heavily on SailPoint IdentityIQ (IIQ) development, Java-based customization, and Python-driven automation, while also providing technical leadership and mentorship within the IAM engineering team.

In addition to deep technical expertise, this role requires strong managerial and leadership skills. The IAM Developer is expected to lead workstreams, guide junior developers, partner closely with architecture and security stakeholders, and help translate business and regulatory requirements into scalable IAM solutions.

As IAM continues to evolve alongside automation and artificial intelligence, this role will also contribute to the responsible use of AI-enabled tooling within IAM, including reporting, analytics, and productivity enhancements.

What You'll Do:

IAM Engineering & Development

Design, develop, test, and implement scalable IAM solutions aligned with enterprise security standards and business requirements. Develop and maintain SailPoint IdentityIQ (IIQ) capabilities including workflows, provisioning policies, custom forms, rules, reports, certifications, and integrations. Build and enhance identity lifecycle automation for joiner, mover, and leaver (JML) processes. Develop custom connectors and integrations using JavaBeans, Java, web services, and APIs. Leverage Python scripting to a

The Opportunity

Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.

By using predictive models, experimental design methods, and optimization techniques, you will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.

All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.  

What You’ll Do
• Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.
• Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems
• Collaborate with product management and engineering groups to develop new products and features.

What You Need to Succeed
• Currently enrolled full time and pursuing a Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 – June 2027
• Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
• Proficient in one or more programming languages such as Python, Java and C
• Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn
• Strong analytical and quantitative problem-solving ability.
• Ex

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.

At CI&T, we are seeking a highly skilled and motivated SDET (Software Development Engineer in Test) to join our team. You will contribute to an innovative project in a collaborative, innovative, transforming, and multicultural environment, ensuring software quality, reliability, and performance.

Position Overview:

As an SDET, you will play a critical role in designing and executing robust automated and manual testing strategies. Your primary responsibility will be to bridge the gap between development and testing, collaborating closely with cross-functional teams throughout the product lifecycle to ensure quality is embedded from the early stages.

Key Responsibilities:

- Design, develop, and maintain scalable test automation frameworks and scripts.

- Create and execute comprehensive test plans and scenarios across multiple applications and platforms.

- Implement performance, load, and stress testing to validate system stability and scalability.

- Collaborate within agile teams to define and evolve test strategies, standards, and QA best practices.

- Identify, document, and track defects, working closely with developers to ensure timely and effective resolution.

- Analyze test results and quality trends, proposing continuous improvement initiatives to enhance project outcomes.

- Conduct root cause analysis and support the leadership team in Quality Analysis across the Value Stream.

Required Skills and Qualifications

Must-have Skills:

- Proven experience as a QA Engineer or SDET.

- Strong programming skills in at least one language (Java, C#, Python, or JavaScript).

- Hands-on experience with automation tools (Selenium, Cypress, TestNG, or JUnit).

- Proficiency with API testing to