AI/ML Engineer (Senior/Regular) – GenAI

• You will join a central AI team developing modern Generative AI solutions for construction software products. The project focuses on building scalable, reusable AI capabilities, including LLM-based applications, RAG pipelines, AI agents, tool use, orchestration, and evaluation frameworks.
• You will work on both prototyping and production-grade AI systems, help establish engineering standards and best practices, and contribute to AI-native software development and automation.
• Project details:
• Work model: 100% remote
• Contract: B2B
• Rate: up to 120 PLN/h nett + VAT
• Start: ASAP
• Project model: Outsourcing
• Recruitment process: 2 stages – HR interview + technical interview with the Hiring Manager
• Engagement: Full-time

Zakres obowiązków

• Design and develop production-grade GenAI solutions, including LLMs, RAG, AI agents, tool use, and orchestration.
• Build reusable AI capabilities and services that can be adopted across multiple products.
• Design and implement AI evaluation frameworks focused on quality, reliability, latency, cost, and grounding.
• Develop AI-native engineering practices, including Spec-Driven Development, AI-assisted development, and automated testing.
• Ensure AI solutions meet standards for security, observability, governance, reliability, and responsible AI use.
• Collaborate with Product, Engineering, and Business stakeholders, while supporting other engineers through technical guidance, code reviews, and knowledge sharing.

Wymagania

• 5+ years of software engineering experience, including hands-on experience with production AI systems.
• Strong Python programming skills.
• Hands-on experience with Generative AI, LLMs, RAG, AI agents, tool/function calling, and orchestration.
• Practical experience with Azure and/or AWS cloud platforms.
• Experience designing and delivering end-to-end AI systems from APIs and data/retrieval layers to cloud infrastructure and production deployment.
• Experience with AI evaluation and testing, including quality, reliability, grounding, latency, and cost.
• Understanding of AI-assisted development, Spec-Driven Development, and modern AI developer tools.
• Strong software architecture skills and ability to design reusable, scalable AI solutions.
• English – minimum B2/C1.

Tech stack

• Python
• GenAI
• LLM
• RAG
• AI Agents
• Tool Calling
• ML
• Vector Databases
• AWS/Azure
• LangChain / LangGraph / LlamaIndex
• MLOps