Note: The job is a remote job and is open to candidates in USA. Reqroute, Inc is seeking an AI Engineer to work remotely with client domain teams on identifying, designing, and deploying production-grade AI solutions. The role focuses on agentic AI systems, RAG pipelines, enterprise integrations, evaluation and monitoring, and technical enablement for client teams.
Responsibilities
- 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 (LangGraph, 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
Skills
- 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
- 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 LangGraph, LangChain, 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
- PhD
Benefits
- Remote work
Company Overview