AI Engineer

We support tech companies in building engineering teams in Poland. For this role, we act as a recruitment partner supporting the hiring process on behalf of our customer.

An American construction technology company developing software to manage and analyze construction workforce data in real time.

Looking for a hands-on AI Engineer to join a newly formed AI Lab.

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You will work closely with engineering and product teams to optimize and automate software development lifecycle using AI tools, and to help us leverage unique data assets for business intelligence and future product development.

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Please note that in Poland, we're hiring under UoP contracts, facilitated through an EOR platform.

• Collaborate with engineering teams to integrate AI-generated code (from tools like Claude and GitHub Copilot) into our 1.1M+ line production codebase, focusing on improving code integration, QA, and velocity.
• Design, implement, and optimize processes for AI-assisted software development, including prompt engineering, agent workflows, and automated testing.
• Develop and maintain tools and workflows to streamline code review, testing, and deployment of AI-generated code.
• Work with stakeholders to define and document current architecture, development practices, and requirements for AI agents.
• Support the creation of a data pipeline and architecture to enable business intelligence, analytics, and future AI/ML model training on our operational data.
• Explore and implement solutions for anomaly detection and real-time monitoring of operational data (e.g., turnstile and access control logs).
• Stay up to date with the latest AI/ML and agent-based development practices, and coach the team on best practices and new tools.

• 2+ years of experience in AI/ML engineering, software engineering, or a related field.
• Hands-on experience with AI code generation tools (e.g., Claude, GitHub Copilot, OpenAI Codex) and integrating their output into large codebases.
• Solid understanding of software development lifecycle, QA, and automated testing.
• Experience with cloud platforms (preferably AWS), and familiarity with SaaS architectures.
• Proficiency in at least one of: .NET (C#), React, React Native, or Python.
• Experience with data engineering, data pipelines, or business intelligence is a strong plus.
• Familiarity with agent-based development, prompt engineering, and AI workflow optimization is highly desirable.
• Strong communication skills and ability to work collaboratively with distributed teams.
• Ability to work with partial overlap to US Eastern Time (until at least 2–3pm EST).

• Experience with large-scale enterprise codebases.
• Knowledge of construction tech or workforce management domains.
• Experience with anomaly detection, real-time data processing, or IoT data.
• Exposure to LLM fine-tuning, retrieval-augmented generation (RAG), or similar AI architectures.