AI Engineer

We are looking for an AI Engineer to design and develop AI agents and workflows for business planning and forecasting. The company is building an Integrated Business Planning (IBP) platform for corporate planning in supply chains, logistics, and finance. The team is developing an AI assistant for business planning that works with real corporate data and business logic.

• •Develop AI agents and multi-step agentic workflows.
• •Integrate LLM with APIs, databases, internal systems, and business logic.
• •Work with RAG, embeddings, vector search, structured outputs, tool/function calling, memory/context.
• •Set up evaluation: response quality, tool usage correctness, reliability, safety, performance.
• •Improve prompts, tool definitions, and reasoning flows.
• •Implement AI functions in production with product/development teams.
• •Communicate with business users and transform real planning processes into agent work.

• •Experience with FastAPI/Django/PostgreSQL is a plus.
• •Time-series forecasting: gradient boosting, time-series foundation models, and other approaches.
• •Optimization engines: MILP, Pyomo, Gurobi, HiGHS, OR-Tools/CP-SAT.
• •Experience with local/open-source LLM.
• •Experience using coding agents for rapid production-like prototypes.

• •Strong Python and engineering practices: tests, CI/CD, Docker, Git.
• •Experience deploying LLM/agent-based applications in production.
• •Practical experience with agent frameworks: LangGraph, Claude Agent SDK, OpenAI API, or similar.
• •Experience with APIs, backend services, SQL, and databases.
• •Understanding of RAG, embeddings, vector search, prompt engineering, structured outputs, tool/function calling, and MCP.
• •English B2+.