Senior Python Engineer (AI experience)

Senior Python Engineer (AI experience)

Location

Ukraine / Remote

Schedule

Flexible

Stage

Active development

About the Client

The Client is an AI-powered construction supply chain platform managing billions of dollars in active construction projects. The product suite includes an AI-driven submittal review agent (which processes large construction specification PDFs to generate material lists and submittal registers), an AI chat assistant, and a full data center procurement platform that covers the entire spec-to-pay workflow. The customer serves major enterprise clients and is scaling rapidly to meet growing demand.

We are looking for a Senior Python Engineer with AI experience to join the customer’s AI/ML engineering team. You will play a central role in building and scaling the AI components that power customers’ intelligent construction supply chain platform—working on LLM-based agents, RAG pipelines, and large-scale document processing systems that directly impact how major infrastructure projects are delivered.

Responsibilities:

  • Design, build, and maintain Python-based AI/ML services, including RAG pipelines, LLM agents, and document processing workflows.
  • Process and extract structured data from large, complex construction specification PDFs at scale.
  • Collaborate with Go backend engineers as the platform migrates from a monolithic architecture to microservices.
  • Integrate AI components with a Next.js/TypeScript frontend and AWS-based infrastructure.
  • Contribute to the development and improvement of the client’s AI chat assistant.
  • Work closely with cross-functional teams to translate construction domain requirements into robust, production-grade AI solutions.
  • Champion code quality, testing, and best practices across the Python codebase.

Requirements:

  • 6+ years of professional Python development experience.
  • Proven hands-on experience with LLMs and AI agent frameworks (e.g., LangChain, LlamaIndex, or similar).
  • Solid understanding and practical experience with RAG (Retrieval-Augmented Generation) pipelines.
  • Experience building systems that process and analyze large documents (PDFs, unstructured text).
  • Familiarity with microservices architecture and working within distributed systems.
  • Comfortable working with AWS cloud infrastructure.
  • Strong fundamentals in software design, testing, and code review.
  • At least Intermediate English Proficiency.
Alla Gokturk
Alla Gokturk

Recruiter

Get Aboard!

10MB maximum total size.
Protected by Google reCAPTCHA
Privacy Policy and Terms of Service apply.