LLM Application Engineer

Our requirements

• Strong software engineering fundamentals and experience building AI-powered applications.
• Hands-on experience with LLMs, generative AI, or agent-based systems.
• Experience designing prompts, agent workflows, evaluations, or AI behavior.
• Ability to write clean, production-quality code.
• Comfort working across abstraction layers—from models and infrastructure to backend systems and product experiences.
• Strong problem-solving skills in ambiguous, fast-moving environments.
• Ownership mentality and the ability to take an AI feature from concept to production.
• Bias toward shipping, iteration, and continuous improvement.

Optional

• AI features reach production quickly and deliver measurable value to users.
• LLM-powered workflows are reliable, scalable, observable, and maintainable.
• AI quality improves through systematic evaluation, experimentation, and iteration.
• AI workflows become increasingly predictable, efficient, and cost-effective.
• Complex AI capabilities are translated into simple and intuitive user experiences.
• Production issues are identified, investigated, and resolved using clear observability and evaluation signals.

Your responsibilities

• Build and ship LLM-powered applications and AI agent workflows.
• Design systems for reasoning, planning, memory, tool use, and multi-step execution.
• Build reliable orchestration pipelines that turn probabilistic model outputs into predictable, observable, and safe actions.
• Integrate LLMs with APIs, databases, search systems, internal services, and external tools.
• Develop prompting, context engineering, structured outputs, tool calling, and other techniques that improve model behavior.
• Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions.
• Debug AI systems across the entire stack—from model behavior and prompts to orchestration, backend services, and product UX.
• Optimize AI systems for quality, latency, and cost.
• Work closely with product and engineering teams to turn ambiguous product problems into working AI solutions.
• Establish production practices for observability, tracing, experimentation, evaluation, and continuous improvement.

About the project

What we offer

• Polish employment contract.
• Fully remote position for candidates based in Poland.
• You will join an existing global team and collaborate with colleagues across different regions.
• There is no fixed company-wide schedule or requirement to work in one specific time zone.
• Sufficient overlap with your immediate teammates is required for effective collaboration.
• A company laptop will be provided where required for the role.
• The compensation package consists of a base salary and equity.
• Compensation is assessed individually based on experience, technical capability, expected impact, and relevant market benchmarks.
• Candidates are invited to share their expected gross monthly salary in PLN.

Recruitment stages

• 1.
  Technical assessment, where relevant.
• 2.
  HR interview.
• 3.
  Technical interview or interviews.
• 4.
  Founder or leadership interview.