AI Engineer

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.

Good to Have:

Multi-agent systems and Ray.

Open Telemetry, Prometheus/Grafana.

Kafka/Debezium.

SAP/CRM/ITSM integrations.

Telco Order-to-Cash (O2C) experience.