Principal Agentic AI Engineer

What's the role?We are looking for a Principal Agentic AI Engineer to drive the architecture and hands-on delivery of the platform that lets AI agents reason about and act on the physical world. You will define technical direction for how agents consume our location intelligence reliably, at scale, and across environments, and build the core capabilities that make that possible in production. This role combines deep hands-on engineering with applied judgment about real-world model behavior, cost, and reliability. You will operate with broad scope, influencing multiple teams through technical leadership and cross-functional alignment. Main responsibilities: Architecture and system design: Own the design of core platform capabilities that expose location intelligence to AI agents through clean, standardized interfaces. Design reusable, decoupled components and scalable patterns that many teams and use cases build onExecution and integration: Build the layer that turns complex, natural-language location intent into deterministic, decision-grade results. Integrate multiple services, data sources, and interaction patterns into cohesive, reliable systemsPerformance, cost, and edge: Optimize for latency, cost, and reliability, including deployment in constrained and edge environments such as automotive. Analyze trade-offs between accuracy, cost, and latency, and make pragmatic engineering decisionsReliability and evaluation: Design evaluation strategies, benchmarking, and reliability patterns that prove correctness and performance against alternativesTechnical leadership: Lead technical reviews and decision-making, retire architectural risk, and act as a force multiplier through design guidance, mentoring, and strong engineering standards. Explain complex trade-offs clearly to engineering, product, and executive stakeholdersWho are you?Required Qualifications: Extensive experience as a senior or principal engineer delivering production-grade agentic systems end to end, from design through rollout and operationsExperience with agentic systems, including evaluation, reliability, and safety patternsStrong Rust and Python (Rust especially valued), with experience across ML frameworks.Strong software engineering fundamentals: system design, distributed systems, API design, observability, and performance optimizationHands-on experience with modern LLM engineering: prompting and orchestration patterns, tool and function calling, and building systems that let LLMs act reliably through structured interfacesAbility to lead through influence: drive alignment, communicate trade-offs, and make high-quality technical decisionsMandatory hands-on use of AI tools in day-to-day engineering to increase productivityPreferred Qualifications: Experience with cost-aware LLM serving, caching, and latency optimization at scaleExperience deploying to constrained or edge environments (automotive a plus)Familiarity with location-based services, navigation, or geospatial dataFamiliarity with model adaptation techniques (e.g. LoRA/QLoRA) for narrow, cost-sensitive tasksOpen-source contributions, publications, patents, or recognized technical leadership in AI/ML What we offer?The opportunity to tackle meaningful and challenging problemsA chance to continuously learn and stay on top of the latest technology trendsWork that has real-world impact, shaping the future of mobility and technologyRegular feedback to help you grow and succeed in your roleA collaborative and supportive team environment where your contributions are valuedCompetitive salary plus bonusFlexible working hours and a hybrid working environmentMedical coverage for you and your familyThis role is eligible for Creative Tax Incentive scheme in Poland” or KUP (Autorskie Koszty Uzyskania Przychodu) Option to work on a B2B contract (please note: benefits, bonus and KUP do not apply in this case) Change is HERE. Apply Now!