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.