Job Description
Role: Senior Machine Learning Engineer
Experience Level: 3+ Years
Work location: Chennai
Role & Responsibilities:
Design, develop, and deploy Agentic AI applications using LLMs.
Build autonomous and multi-agent workflows
Develop Retrieval Augmented Generation (RAG) solutions using vector databases.
Integrate AI agents with enterprise applications and APIs.
Build prompt orchestration, tool calling, memory, and reasoning workflows.
Implement responsible AI, security, and governance controls.
Develop REST APIs and microservices supporting AI applications.
Optimize performance, scalability, and cost of AI solutions.
Monitor AI agents, APIs, LLM services, and RAG pipelines.
Analyze incidents and perform root cause analysis (RCA).
Troubleshoot prompt failures, hallucinations, grounding issues, and workflow
failures.
Monitor token consumption, latency, throughput, and operational costs.
Experience with LLM observability, evaluation, and production monitoring
Manage production deployments and environment configurations
Must have Skills:
Python (Mandatory)
SQL,REST API development
FastAPI
Agentic AI ,LLM Platforms, RAG & Knowledge Management, Cloud & DevOps, MCP
(Model Context Protocol), PromptFlow, MLflow, AI Evaluation Frameworks
More Info
Key Skills
Agentic AI LLM Platforms
AI Evaluation Frameworks
MLflow
RAG
Model Context Protocol
PromptFlow


