AI Engineer

We are looking for a Senior AI Engineer (Python) to join a funded US-based AI startup building next-generation infrastructure intelligence solutions for water utilities across North America.

This is a hands-on engineering role focused on integrating and scaling LLM-powered systems in production. You will work on agentic workflows, AI orchestration services, RAG pipelines, and real-time AI-driven functionality within a geospatial analytics platform.

Project — an AI-driven platform that helps public utilities predict infrastructure failures (such as water pipe bursts) and optimize maintenance planning using machine learning, geospatial analysis, and municipal infrastructure data. The product is already used by government organizations and utility providers across North America.

Requirements:

5+ years of professional software engineering experience

Strong Python development experience

Hands-on experience with FastAPI or similar backend frameworks

Experience integrating OpenAI, Anthropic, or AWS Bedrock APIs

Solid understanding of RAG and vector search patterns

Experience with AI frameworks such as LangGraph, LangChain, MLflow, or similar

Experience building production-grade AI/LLM applications

Strong understanding of Docker and cloud-native environments

Experience with PostgreSQL

AWS experience

Upper-Intermediate English or higher

Nice to Have:

Experience with gRPC / protobuf

Experience deploying open-source LLMs (Llama or similar)

Experience with agentic workflows and tool-calling systems

GIS or geospatial systems exposure

MLOps or AI infrastructure experience

Responsibilities:

Integrate external LLM APIs such as OpenAI, Anthropic, and Bedrock

Extend agentic workflows and ReAct-loop systems

Build AI-powered backend functionality for real-time geospatial applications

Develop functional primitives and tool-calling capabilities for LLM agents

Design and improve RAG pipelines and evaluation systems

Analyze latency, response quality, and AI system cost trade-offs

Collaborate with product and domain experts on evaluation datasets and AI workflows

We offer:

Vacation (up to 20 working days)

Sick leaves (10 working days)

National Holidays as time off (up to 11 days)

Medical reimbursement/insurance after 3 months

Online English courses

Flexible working schedule, remote

Direct cooperation with the customer

Communication with Top/Senior level specialists to strengthen your hard skills

Online/offline teambuildings

Volunteering culture development and support

Відгукнутись на вакансію