Senior GenAI Engineer – Production AI & Agentic Systems

AI Engineer – GenAI / Agentic AI Engineer
Location: Chennai, Bangalore, Hyderabad
Experience: 5+ years, with strong hands-on experience in GenAI/AI engineering
About the Role
We are looking for an experienced AI Engineer to design, develop and deploy enterprise-grade GenAI and Agentic AI applications.
The ideal candidate should have strong hands-on experience across the full AI lifecycle, from solution design and model integration to deployment, infrastructure, monitoring and production support.
Key Responsibilities
Design and develop production-grade LLM, RAG and Agentic AI applications.
Work with OpenAI, Gemini and other LLM platforms.
Build RAG pipelines using LangChain, LangGraph, vector search and related technologies.
Design multi-agent workflows, tool calling and multi-step workflow execution.
Develop AI applications with MCP and agent orchestration frameworks.
Implement prompt engineering, model evaluation and fine-tuning approaches.
Build scalable AI services and APIs using Python.
Deploy and operate AI solutions in enterprise environments.
Implement MLOps, AI observability, monitoring, evaluation and governance.
Troubleshoot production AI systems and improve reliability, performance and cost.
Work with BigQuery, SQL and PySpark for data handling and analysis.
Collaborate with data, engineering and business teams to translate use cases into production AI solutions.
Must-Have Skills
5+ years of overall experience with strong hands-on AI/ML engineering experience.
Strong expertise in LLMs, particularly OpenAI / Gemini.
Hands-on experience with RAG, vector search, LangChain and LangGraph.
Experience building Agentic AI / multi-agent applications.
Strong understanding of agent orchestration, tool calling and multi-step workflows.
Experience with MCP.
Advanced Python and SQL.
BigQuery and PySpark.
Experience deploying AI applications into production.
Practical MLOps experience including deployment, monitoring, evaluation and observability.
Experience owning AI solutions end-to-end, including infrastructure and production support.
Good to Have
Machine Learning and Statistical Analysis
NLP and Forecasting
Fine-tuning / model optimization
LangSmith
AI governance and observability
LLM-driven analysis and summarization
Cloud platforms and containerized deployments
Experience building enterprise-scale GenAI platforms
Interested? Apply directly through LinkedIn or send your resume via direct message.
Know someone who fits? Please share this opportunity!
#Hiring #SeniorAIEngineer #GenAI #AgenticAI #GenerativeAI #LLM #RAG #LangChain #LangGraph #MCP #Python #MLOps #MultiAgentSystems #AIJobs

Work arrangement
No