Sr.Associate - GenAI Engineer
Northern Trust (company site, opens in a new tab)5–7 yrsPuneOn-siteDirect career pageEst. 20–32 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain enterprise-grade GenAI and agentic applications, translating business requirements into scalable solutions and technical roadmaps.
- Develop intelligent agents, multi-agent workflows, and RAG solutions; create reusable AI services, APIs, and orchestration components.
- Evaluate and optimize AI solutions for quality, safety, reliability, performance, and cost, while integrating them with enterprise systems and CI/CD pipelines.
Minimum Requirements
- Work Experience Required: 5 to 7 years in software engineering, AI engineering, data engineering, machine learning, or a related field.
- Hands-on experience designing and delivering GenAI, Agentic AI, or intelligent automation solutions; strong Python skills and working knowledge of LangChain, LangGraph, or a similar framework.
- Relevant B.E./B.Tech/M.E./M.Tech/MCA or equivalent degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline.
- Experience with RAG and LLM/agent evaluation; REST APIs or microservices; Git, CI/CD, automated testing, and cloud-based applications.
Ideal Candidate Profile
- Has delivered production-oriented GenAI or agentic systems, including multi-step workflows, tool calling, state or memory management, and measurable evaluation.
- Can work across the AI application lifecycle—from prototypes and retrieval design to enterprise integration, observability, and production optimization.
- Fits a governed enterprise environment, with practical attention to security, privacy, Responsible AI, and maintainability.