Senior AI Engineer

About the Position

OTAKOYI is looking for a smart and eager Senior AI Engineer to join our project team and contribute to the development of an advanced enterprise-grade AI platform.

Our partner is building a powerful agentic AI system designed to centralize knowledge, automate workflows, and enhance productivity across the organization. This platform goes beyond traditional chat solutions - it serves as an AI-driven layer supporting intelligent task orchestration and data interaction.

We are seeking an engineer who enjoys building production-ready AI systems, solving complex technical challenges, and contributing to architectural decisions while staying deeply involved in implementation.

Responsibilities

• 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

Requirements

• 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

We Offer

• Opportunity to build and scale a production-grade AI platform
• Direct impact on the evolution of enterprise AI solutions
• Collaboration within a cross-functional, innovation-driven team
• A challenging environment focused on growth and technical excellence

About the Company

Let’s turn this into your next chapter. We’re excited to meet you.

We're growing fast - come grow with us.

Bohdana Buta

Recruitment Lead

Let’s Connect