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.