Senior AI Engineer
Anheuser-Busch InBev (company site, opens in a new tab)5+ yrsOn-siteDirect career pageEst. 20–35 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and build production-grade large language model (LLM) powered applications and agentic workflows on Microsoft Azure.
- Develop and optimize scalable APIs, multi-step AI agents, and retrieval-augmented generation (RAG) pipelines integrating vector databases and data platforms.
- Deploy, monitor, and improve AI systems focusing on quality, latency, cost, and reliability in collaboration with cross-functional teams.
Minimum Requirements
- 5+ years of software engineering experience with significant experience in AI/ML or LLM application development.
- Strong proficiency in Python, LangChain, LangGraph, FastAPI, and RESTful API development.
- Experience with Microsoft Azure deployment, Docker containerization, Databricks, Redis/PostgreSQL with pgvector, and RAG pipeline development.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Ideal Candidate Profile
- Experienced in architecting and deploying agentic AI systems incorporating memory, state management, and workflow orchestration.
- Skilled in engineering scalable, maintainable AI services with a strong focus on production best practices including observability, testing, and security.
- Comfortable working across AI architecture, backend engineering, and data platform integration within cloud environments like Azure.