AI Engineer

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.

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