Job Description
Senior Generative AI Engineer (Azure / RAG / LLM)
We re looking for a hands-on Senior AI Engineer to build and deploy production-grade generative AI solutions. This role focuses on taking use cases from concept to production, working closely with product, business, and engineering teams.
This is not a research role candidates must have real experience building and deploying LLM-based systems in production.
Key Responsibilities
• Build backend services and APIs for AI-driven applications
• Develop and integrate LLM solutions (Azure OpenAI / AI Foundry)
• Design RAG pipelines (embeddings, vector search, retrieval systems)
• Deploy scalable applications using Docker and Kubernetes (AKS)
• Translate business use cases into production-ready solutions
• Optimize performance, cost, and reliability of AI systems
• Support monitoring and observability of deployed solutions
• Contribute to agentic workflows and orchestration patterns
Required Skills
• Strong Python (APIs, async, production systems)
• Hands-on with LLMs/GenAI (Azure OpenAI, LangChain, Semantic Kernel)
• Experience with RAG, embeddings, and vector databases
• API frameworks (FastAPI or similar)
• Docker + Kubernetes (AKS preferred)
• Azure or similar cloud experience
• Strong system design and production deployment experience
Nice to Have
• Azure AI Search, Pinecone, or similar
• Agentic AI / orchestration frameworks
• React/TypeScript (basic UI work)
• CI/CD and DevOps exposure
What We re Looking For
• Proven experience shipping AI solutions (not just experimentation)
• Ownership from prototype production
• Ability to work in fast-paced, client-driven environments
• Strong communication across technical and business teams
We re looking for a hands-on Senior AI Engineer to build and deploy production-grade generative AI solutions. This role focuses on taking use cases from concept to production, working closely with product, business, and engineering teams.
This is not a research role candidates must have real experience building and deploying LLM-based systems in production.
Key Responsibilities
• Build backend services and APIs for AI-driven applications
• Develop and integrate LLM solutions (Azure OpenAI / AI Foundry)
• Design RAG pipelines (embeddings, vector search, retrieval systems)
• Deploy scalable applications using Docker and Kubernetes (AKS)
• Translate business use cases into production-ready solutions
• Optimize performance, cost, and reliability of AI systems
• Support monitoring and observability of deployed solutions
• Contribute to agentic workflows and orchestration patterns
Required Skills
• Strong Python (APIs, async, production systems)
• Hands-on with LLMs/GenAI (Azure OpenAI, LangChain, Semantic Kernel)
• Experience with RAG, embeddings, and vector databases
• API frameworks (FastAPI or similar)
• Docker + Kubernetes (AKS preferred)
• Azure or similar cloud experience
• Strong system design and production deployment experience
Nice to Have
• Azure AI Search, Pinecone, or similar
• Agentic AI / orchestration frameworks
• React/TypeScript (basic UI work)
• CI/CD and DevOps exposure
What We re Looking For
• Proven experience shipping AI solutions (not just experimentation)
• Ownership from prototype production
• Ability to work in fast-paced, client-driven environments
• Strong communication across technical and business teams
💡 Quick Summary
Seeking a career-building opportunity? The Sr Gen AI Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Houston offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
