AI / LLM Engineer

Link Group; Poland; On-site; PLN 180,000 - 240,000; Full time

Job summary

Link Group is seeking a Senior AI Engineer to design robust Python backends and APIs that integrate large language models into core workflows. You will build production-grade AI services focused on safety, observability, and reliability, collaborating with product and engineering teams.

You should bring strong Python/backend experience, hands-on work with major AI platforms, and a pragmatic approach to continuous delivery. Remote-friendly but grounded in engineering excellence.

Qualifications

• Senior level with proven production experience shipping LLM-driven apps.
• Advanced Python skills with API design and scalable backends.
• Experience with major AI platforms (OpenAI, Azure OpenAI, AWS Bedrock).
• Strong knowledge of prompt design, structured outputs, and tool execution.
• Experience building evaluation frameworks, guardrails, and tests.
• Delivery mindset: maintainable code, continuous delivery.
• Bonus qualifications: exposure to LLM orchestration frameworks (RAG, LangChain) or IaC.

Responsibilities

• Architect, build, and operate Python-based backend microservices and APIs powered by LLMs.
• Design end-to-end LLM integration workflows with structured outputs and prompts.
• Implement AI safety controls, output validation, fallbacks, and error handling.
• Establish observability across production AI apps using metrics, logging, tracing.
• Translate requirements into production-ready technical solutions with product teams.
• Refine system performance via model iteration, prompt tuning, and cost optimization.

Skills

Python

API design

Backend development

LLM integration

Observability

DevOps mindset

Tools

OpenAI

Azure OpenAI

AWS Bedrock

Job description

We are seeking a Senior AI Engineer with a strong software engineering foundation to build, scale, and maintain production-grade AI services. In this engineering-first role, you will design robust Python backends and APIs that seamlessly integrate large language models (LLMs) into core operational workflows. Your primary focus will be delivering safe, maintainable, and observable AI systems that reliably solve complex business problems.

Key Responsibilities

• Architect, build, and operate resilient Python-based backend microservices and APIs powered by LLMs.
• Design end-to-end LLM integration workflows, including structured outputs, function/tool calling, prompt optimization, and context management.
• Implement AI safety controls, output validation layers, operational fallbacks, and robust error handling.
• Establish comprehensive observability across production AI applications using modern metrics, logging, tracing, and evaluation tools.
• Translate ambiguous functional requirements into clean, production-ready technical solutions in partnership with product and engineering teams.
• Continuously refine system performance through model iteration, prompt tuning, cost optimization, and contract definitions.

Candidate Profile

• Level of Experience: Senior level with a proven track record of shipping LLM-driven applications into live production environments.
• Backend Expertise: Advanced Python proficiency with strong experience in software design, API contracts, and scalable backend services.
• LLM Ecosystem: Practical experience working with major AI platforms and foundation models (such as OpenAI, Azure OpenAI, or AWS Bedrock).
• AI Systems Architecture: Solid grasp of prompt design, structured data outputs, context window optimization, and external tool execution.
• Safety & Reliability: Hands-on experience establishing evaluation frameworks, guardrails, fallback routines, and operational testing.
• Delivery & Mindset: Pragmatic engineering approach with a focus on code maintainability, continuous delivery, and technical curiosity.
• Bonus Qualifications: Exposure to LLM orchestration frameworks (RAG, LangChain, MCP, Graph databases), infrastructure as code (IaC), rapid prototyping (Streamlit, Jupyter), Java/Kotlin, or classical NLP tasks (e.g., PII detection, classification).