We are hiring Senior AI Engineer — senior, product-minded builders who are handed a goal, not a backlog, and own it from the first conversation to a shipped product.You will help build intelligent products and put modern AI to work — doing things faster and better than was previously possible.
What You’ll Do: * AI Development & Implementation (Core Focus) * Design and implement LLM-based applications and RAG pipelines * Develop scalable backend services using Python and FastAPI * Integrate vector databases (e.g., Milvus), relational and non-relational databases (PostgreSQL, CosmosDB) * Build and optimize generative AI pipelines from experimentation to production. Transit proof-of-concepts into stable, maintainable production systems
Cloud & Infrastructure * * Work with Azure-based cloud environments (or similar cloud platforms) * Deploy and manage containerized workloads using Docker, argo-wrkflows, Kubernetes and Rancher * Ensure scalability, performance, and reliability of AI services
Architectural Contribution * * Contribute to architecture decisions and system design discussions * Propose improvements to AI workflows, infrastructure, and model performance * Maintain high standards of code quality, testing, and documentation * Clearly communicate technical trade-offs within cross-functional teams
Required Skills: * Hands-on experience building applications with LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) * Experience implementing RAG pipelines with embedding and retrieval optimization * Practical knowledge of prompt engineering, tool/function calling, and structured outputs * Experience building agentic or multi-step LLM workflows (LangChain, LlamaIndex, or similar) * Understanding of LLM performance evaluation, guardrails, and hallucination mitigation * Experience with LLM observability and monitoring tools * Experience working with vector databases (Milvus, Azure AI Search or similar) * Backend development experience (FastAPI or similar async frameworks) * Understanding of API design and integration * Experience with Docker and Kubernetes * Strong problem-solving skills and attention to detail * Upper-Intermediate English or higher
Nice to Have: * Experience with multi-modal AI systems * Experience with Model Context Protocol (MCP) or similar LLM-to-tool integration standards * Familiarity with Microsoft ecosystem integrations (e.g., MS Graph, Copilot tools) * Experience with CI/CD pipelines and DevOps practices * Experience working in agile development environments
What We Offer: * Shape and scale a high-load enterprise AI infrastructure. * Directly influence the roadmap of intelligent solutions built for large-scale industries. * Collaborate at the intersection of expertise within a team that champions bold ideas and a tech-driven mindset. * Immerse yourself in a culture of technical excellence where every complex challenge serves as a stepping stone for growth.
