AI Engineer (AI)

TL;DR

AI Engineer (AI): Designing and building intelligent AI coaching systems that plan, adapt, and personalize workouts in real time with an accent on developing AI agents and recommendation engines. Focus on building multi-step reasoning pipelines, retrieval systems, and evaluation frameworks to ensure reliable and continuously improving AI performance in production.

Location: Hybrid, Poland

Company

hirify.global is the world’s first AI Fitness Personal Trainer, revolutionising health and wellness by replacing traditional PT sessions with smart, personalised guidance powered by AI.

What you will do

• Build AI agents that plan workouts, adapt in real time, and coach users, including tool use, multi-step reasoning, memory management, and context pipelines.
• Develop and improve recommendation systems for exercise selection, weight, and intensity scaling using structured user data.
• Integrate health and recovery signals (Apple Health, body scans, fitness tests) into the coach's decision-making process.
• Work with the Fitness Science team to define workout quality and build evaluation frameworks to enforce those standards.
• Analyze agent failures, identify patterns, and address the most impactful issues.
• Design monitoring and guardrails to prevent agents from failing silently in production.

Requirements

• Strong Python skills.
• Solid software engineering fundamentals with experience shipping production code.
• Experience building AI agents, including tool orchestration, multi-step workflows, context management, and retrieval systems.
• Experience building recommendation or scoring systems on structured data, such as collaborative filtering or rule-based systems.
• Strong analytical instincts, capable of defining correctness for subjective recommendations and designing metrics that reflect user experience.
• Experience fine-tuning or distilling language models to meet cost and latency targets.
• Proficiency in retrieval techniques, including embeddings, vector search, and semantic similarity.
• Experience with classification and regression on structured data.
• Readiness to deeply learn new domains such as exercise physiology, recovery science, and training principles on the job.

Nice to have

• Experience building multi-agent systems.
• Background in health, fitness, or wellness.
• Experience with active learning or human-in-the-loop workflows.
• Experience with time-series analysis or forecasting.
• Background in MLOps, including model versioning, serving infrastructure, and pipeline orchestration.

Culture & Benefits

• Be part of a fast-growing fitness and lifestyle startup.
• Help shape the internal engine of an exciting AI consumer product.
• Work in an excellent, person-oriented environment within a small company.
• Benefit from a remote-friendly environment with the option to collaborate in-person.
• Be part of Palta, a health & well-being technology company.