AI Engineer
Job in
Town of Texas, Marathon County, Wisconsin, USA
Listed on 2026-10-14
Listing for:
TechDigital Group
Full Time
position Listed on 2026-10-14
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
- Embed with client domain teams to identify high-value AI opportunities, map pain points to platform capabilities, and validate feasibility before solutioning.
- Design, build, and deploy AI agents using agentic frameworks (Lang Graph, CrewAI, Google ADK) with tool use, memory, structured outputs, and error recovery.
- Build retrieval-augmented generation (RAG) pipelines grounded in client enterprise data - designing context engineering and memory architectures for multi-turn and multi-agent workflows.
- Integrate AI solutions with client enterprise systems via APIs, MCP tool gateways, CRM, billing, and operational platforms - handling authentication, rate limiting, and production-grade error handling.
- Define success metrics in partnership with client stakeholders, build evaluation harnesses, and establish continuous benchmarking and quality monitoring for deployed AI systems.
- Serve as a trusted technical partner to client teams - run workshops, pair-program with domain engineers, and drive AI adoption and enablement on the ground.
- Surface platform gaps, friction, and feature requests back to Cognizant's AI architecture and engineering teams to improve reusable offerings.
- 3-5 yrs experience
- Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field with 1-3 years of relevant experience. PhD preferred.
- Strong production-grade Python programming skills - not notebook-grade; experience building deployable, maintainable AI applications.
- Hands-on experience with LLMs (GPT, Claude, Gemini), prompt engineering, structured outputs, function calling, and agentic workflow design.
- Experience designing and deploying RAG pipelines - embeddings, vector databases, reranking, hybrid search, and retrieval optimization.
- Familiarity with agentic AI frameworks such as Lang Graph, Lang Chain, CrewAI, Google ADK, or similar orchestration tools.
- Working knowledge of REST APIs, cloud platforms (AWS, Azure, or GCP), Git, Docker, and modern software development practices.
- Strong analytical, problem-solving, and communication skills with the ability to explain AI trade-offs to non-technical stakeholders.
- Consultative mindset - comfortable operating in ambiguous environments, discovering problems, and defining approaches independently.
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