Job Description

Looking for a Senior/Lead GenAI Engineer to build and operate

production-grade GenAI and agentic AI applications

. The role requires strong software engineering skills combined with hands-on experience in

LLMs, RAG, agent orchestration, APIs, cloud, Kubernetes, security, and AI evaluation

Key Responsibilities:

Build production-ready

GenAI, RAG, and multi-agent applications

Develop APIs and microservices using

Python/TypeScript/Go/Java

Work with

LangGraph, LangChain, LlamaIndex, or Semantic Kernel

Implement

LLM integrations, tool calling, structured outputs, guardrails, and policy controls

Build knowledge/retrieval pipelines using

vector databases and hybrid search

Develop AI evaluation, testing, monitoring, and regression frameworks.

Deploy and manage services using

Docker, Kubernetes, CI/CD, Terraform, and Azure/AWS/GCP

Implement security, PII protection, observability, and cost/performance optimization.

Integrate AI solutions with

SAP, CRM, ITSM, Kafka, and enterprise systems

Collaborate with Product/Data/Platform teams and mentor engineers.

Must-Have Skills:

6+ years

software engineering experience.

Strong

Python/TypeScript/Go/Java

Hands-on

LLM, GenAI, RAG, and Agentic AI

experience.

LangGraph/LangChain/Semantic Kernel/LlamaIndex

REST APIs / microservices.

Docker + Kubernetes + CI/CD + Terraform

Azure/AWS/GCP

SQL + vector database/search experience.

Experience with testing, security, guardrails, and production deployment.

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