Senior AI Engineer

About the role

Getir is looking for a Senior AI Engineer with strong backend engineering skills and a solid understanding of AI/ML technologies. The role focuses on designing, building and scaling production-grade AI systems and agentic platforms, combining software engineering expertise with hands-on experience in LLM-based applications, agentic workflows and machine learning.

Key responsibilities

• Design, develop and maintain scalable backend services supporting AI applications and agentic platforms.
• Build and improve agent orchestration systems, tool integrations and multi-agent workflows.
• Develop reliable APIs and integrations connecting AI agents with internal and external services.
• Implement asynchronous execution, state management, caching and distributed processing mechanisms.
• Integrate LLMs, pipelines and other AI capabilities into production systems.
• Improve platform reliability, scalability, observability, latency and cost efficiency.
• Collaborate with AI, Data Science and engineering teams to develop and deploy machine learning solutions.
• Contribute to ML model development, experimentation and inference pipelines when needed.
• Evaluate emerging AI technologies and adapt them to solve real-world business problems.

Required profile

• Bachelor's degree in Computer Science, Computer Engineering or a related field.
• 3+ years of hands-on experience in backend software engineering, AI engineering or machine learning engineering.
• Strong understanding of microservices, distributed systems and event-driven applications.
• Good understanding of machine learning fundamentals, model development and inference.

Required skills

• Python, including asynchronous programming, concurrency and object-oriented design.
• Scalable backend services and REST APIs with FastAPI.
• LLM applications: prompting, tool calling, structured outputs and RAG.
• Agentic AI frameworks such as LangGraph, LangChain or CrewAI.
• Databases: PostgreSQL, MongoDB or DynamoDB; Redis, caching and state management.
• Docker, Kubernetes and CI/CD.

Nice to have: agent orchestration platforms, MCP, Kafka, AWS, production deployment of LLMs, ML libraries such as PyTorch or TensorFlow, vector databases and LLM evaluation.

What we offer

• Hybrid working model.
• Professional development opportunities with upward and sideways mobility.
• Health insurance covering family members.
• Meal card.
• Competitive salary.