B2B

AI/ML

Senior AI EngineerOTAKOYI is looking for a skilled and hands-on 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.What You’ll Do

AI Development & Implementation (Core Focus)Design and implement LLM-based applications and RAG pipelinesDevelop 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
- 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 & InfrastructureWork with Azure-based cloud environments (or similar cloud platforms)Deploy and manage containerized workloads using Docker, argo-wrkflows, Kubernetes and RancherEnsure scalability, performance, and reliability of AI services
- 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 ContributionContribute to architecture decisions and system design discussionsPropose improvements to AI workflows, infrastructure, and model performanceMaintain high standards of code quality, testing, and documentationClearly communicate technical trade-offs within cross-functional teams
- 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