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.