We're looking for a Senior Expert in AI/GenAI Engineering to lead the architecture, design, and delivery of high-complexity RAG and Agentic AI solutions within a modern enterprise microservices ecosystem.This is a high-impact, technically deep role — bridging cutting-edge AI research with scalable enterprise applications, and influencing both engineering culture and product roadmap.WHAT YOU'LL DOLead design of AI agents and orchestration layers (LangChain, LlamaIndex)Architect and optimize RAG pipelines — embeddings, vector search, retrieval workflowsDrive integration of AI components into enterprise systems via RESTful APIs & microservicesServe as the technical escalation point for complex AI/integration challengesAdvise senior leadership on AI product feasibility and technology strategyChampion engineering standards, observability, and OWASP-compliant security practicesLead cross-functional teams through full AI development lifecycleWHAT WE'RE LOOKING FOR15+ years in software engineering, with deep expertise in distributed architecturesStrong Python (FastAPI, PyTorch, TensorFlow) or Java (Spring Boot) skillsHands-on with LLM orchestration, vector databases, and AI/ML service integrationSolid grasp of MLOps, Docker/Kubernetes, CI/CD, and cloud platforms (AWS/Azure/GCP)Security fluency — OAuth2, JWT, enterprise AI application protocolsMaster's in CS/Software Engineering or equivalent experienceBONUS POINTS FORExperience with multi-agent systems in productionHands-on with GCP Vertex AI, AWS Bedrock, or Azure OpenAIOpen-source AI/ML contributionsBackground with event-driven systems or legacy enterprise AI integrationsInterested or know someone who'd be a great fit? Write to
Job Title
Architect , AI Development I Global enterprise platform I RAG Agentic systems at scale