Staff AI Engineer

Your responsibilities, Build the AI platform foundations, • Write and ship production code for core AI platform services, APIs, orchestration components, evaluation systems, SDKs, and internal developer tools., • Design, build, and operate reusable AI platform capabilities such as chat APIs, RAG services, summarization, classification, semantic search, prompt/workflow execution, and agent orchestration., • Build high-quality APIs, SDKs, templates, and reference implementations that product teams can adopt with minimal friction., • Create production-ready orchestration patterns for retrieval, tool use, validation, fallback handling, memory/state management, and human-in-the-loop workflows., • Stay close to implementation details by reviewing PRs, debugging production issues, improving reliability, and making pragmatic technical tradeoffs with the team., • Partner with SRE, Security, Platform, and Product Engineering teams to ensure the platform is reliable, scalable, secure, observable, and cost-aware., , Own evaluation, reliability, and production readiness, • Build evaluation harnesses for LLM-powered systems, including curated test sets, scenario-based evaluations, regression checks, quality gates, and release criteria., • Implement AI observability practices such as tracing, prompt/version tracking, output quality monitoring, latency tracking, token/cost visibility, and production feedback loops., • Design safe defaults for AI systems, including structured outputs, tool permissions, prompt-injection awareness, data handling controls, fallback paths, and failure-mode handling., • Ensure AI capabilities are built with strong production fundamentals: testing, monitoring, rollout strategy, incident readiness, performance tuning, and cost management., • Help teams move from prototypes to production by identifying gaps in reliability, observability, security, evaluation, and operational readiness., , Drive AI adoption across the company, • Establish internal standards for building production AI systems through patterns, standards, documentation, code examples, architecture reviews, and technical enablement., • Work directly with product teams to help them adopt the platform, unblock implementation challenges, and turn early AI ideas into production-ready features., • Lead technical design reviews and architecture forums for AI systems, ensuring teams make sound decisions around quality, safety, reliability, and maintainability., • Identify repeated friction across teams and convert it into reusable platform capabilities., • Help raise AI engineering capability across the company through internal demos, enablement sessions, office hours, technical write-ups, and engineering blog posts., , Lead through technical influence, • Act as a hands-on technical leader and multiplier, not just an advisor., • Set technical direction for complex AI platform areas and align stakeholders across Product, Engineering, Security, SRE, and Data., • Mentor engineers on production AI engineering practices, backend design, system reliability, evaluation strategy, and AI-native development workflows., • Help teams use AI-assisted engineering tools responsibly to improve development speed, testing, debugging, documentation, and iteration without compromising quality., , What This Is Not, • Not a data science role focused on analysis, experimentation, or dashboards., • Not an ML research role focused on training foundation models from scratch., • Not a prompt-only role without ownership of production systems., • Not building one-off AI features for a single product line., • Not an architecture-only role where you primarily create diagrams, review designs, or delegate implementation to others., • Not a people-management role. You will influence, mentor, and lead through technical depth, but this is an individual contributor position. What we offer, Compensation Range: 420,000 PLN – 450,000 PLN annually (Base compensation). In addition to base compensation, eligible employees may be offered other forms of incentive programs where applicable., Purpose-led company with a values-focused culture (Best Life, One Team, Growth Mindset)., Open PTO Policy., Days of Disconnect — quarterly collective days off globally., Parental & Pawternity Leave., Fitness Perk — quarterly reimbursement for fitness activities., Partner Discounts — access to discounts with top technology partners., Medical / Dental / Vision coverage & Employee Assistance Program (EAP)., Calm App +4 Subscription — for the employee and up to 4 dependents.