GenAI + Agentic AI Engineer - S U
Cigres Technologies Private Limited (company site, opens in a new tab)5–10 yrsBengaluruOn-siteDirect career pageEst. 18–35 LPA
Posted 19h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and build GenAI applications and intelligent agentic systems using LangChain, LangGraph, and LangSmith with advanced prompt engineering and RAG pipelines.
- Develop evaluation frameworks for GenAI, classical ML, and agentic systems ensuring reliability, tracing, and quality monitoring.
- Collaborate with backend teams to integrate GenAI and agentic workflows into production with cloud ML-ops on AWS/Azure and implement observability and monitoring.
Minimum Requirements
- 5–10 years total work experience with 2–4+ years hands-on GenAI experience.
- Proficiency in Python programming and experience with LangChain, LangGraph, LangSmith, and RAG architectures with vector databases.
- Experience building complex multi-agent systems and deploying enterprise-grade LLM-based applications.
- Hands-on familiarity with classical ML (tree models, regression), LLM APIs, cloud platforms (AWS/Azure), and version control (Git).
Ideal Candidate Profile
- Experienced in architecting multi-agent AI systems with tool-calling and planner-executor workflows in real-world production environments.
- Demonstrates strong integration skills combining GenAI, classical ML, and cloud ML-ops with observability and continuous quality monitoring.
- Skilled in designing structured evaluation protocols for LLM outputs, agent workflows, and model drift assessment using LangSmith.