Artificial Intelligence Specialist

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.