30 Sep
|
Fractal31
|
India
Job Title: Agentic AI Engineer
Experience: 5+ Years
Location: Bengaluru
Job Summary
We are looking for an experienced Senior Agentic AI / GenAI Engineer to design, develop, and deploy enterprise-grade AI solutions powered by Large Language Models (LLMs). The ideal candidate will have robust hands-on experience in Agentic AI, multi-agent systems, LLM application development, RAG, observability, LLMOps, and data engineering.
Key Responsibilities
- Build and integrate multi-agent LLM applications using LangGraph, LangChain, AutoGen, or Semantic Kernel.
- Develop RAG pipelines, vector search, embeddings, and LLM integrations.
- Implement LLM/agent observability, tracing, monitoring, and evaluation using LangSmith, Langfuse, Datadog, or similar tools.
- Optimize LLM cost, latency, model selection, and routing across cloud/LLM platforms.
- Implement guardrails, human-in-the-loop workflows, audit logging,
and AI governance.
- Design and maintain data pipelines and integrate enterprise data platforms such as Databricks/Snowflake.
- Support CI/CD, automated testing, infrastructure-as-code, and production deployment of GenAI solutions.
Required Skills
- Proven experience building Agentic AI / Multi-Agent systems.
- Experience with LangGraph, LangChain, AutoGen, Semantic Kernel, or similar LLM frameworks.
- Experience with LLM observability, tracing, and monitoring using LangSmith, Langfuse, Datadog, or equivalent tools.
- Strong understanding of LLMOps/MLOps and production deployment of GenAI applications.
Pay: ₹3,000,000.00 - ₹4,000,000.00 per year
Work Location: In person
📌 AI Engineer (India)
🏢 Fractal31
📍 India