Principal AI/ML Engineer – Agentic AI Framework

Our requirements

• Extensive experience as a senior/principal engineer delivering production-grade AI/ML systems (including ownership of design, implementation, rollout, and operations)
• Proficiency in architecting extensible software frameworks (specifically designed for autonomous agents or complex distributed systems). Be an adept at designing modular architectures that leverage reusable software components, abstraction layers, and standardized APIs to enable rapid agent deployment (by implementing scalable, decoupled logic that integrates diverse toolsets, memory modules, and LLM-orchestration patterns)
• Strong hands-on skills in modern ML/LLM engineering (prompting and orchestration patterns, RAG, tool/function calling, fine-tuning/adaptation where appropriate)
• Experience building and operating agentic systems, including evaluation strategies, reliability patterns, and safety/guardrails
• Solid software engineering fundamentals: system design, distributed systems, API design, observability, and performance optimization
• Proven MLOps experience (data/model versioning, CI/CD, automated testing, online/offline evaluation, monitoring, and incident response)
• Ability to lead through influence: drive alignment across teams, communicate trade-offs, and make high-quality technical decisions
• Excellent communication skills with the ability to explain complex topics to engineering, product, and executive stakeholders
• Mandatory hands-on experience using AI tools in day-to-day engineering activities to increase productivity and effectiveness
• Ability to embed AI-assisted workflows into engineering practices (coding, design reviews, testing, documentation, and operations)

Optional

• Experience building customer-facing AI platforms/frameworks used by multiple teams, with clear patterns for reuse and governance
• Experience with cost-aware LLM serving, caching, and latency optimization at scale
• Familiarity with location-based services, navigation, or geospatial data products
• Contributions to open-source, publications, patents, or recognized technical leadership in the AI/ML community

Your responsibilities

• Own the reference architecture for HERE Agentic AI Framework (runtime, orchestration, and integration patterns)
• Design, implement, and productionize agentic components (planning, tool-use, memory/state, evaluation, and safety/guardrails) that can be re-used at scale
• Translate ambiguous problem statements into end-to-end technical solutions
• Drive framework adoption by providing high-quality SDKs/APIs, documentation, reference implementations, and support for product teams
• Lead technical reviews and decision-making forums; identify and retire architectural risks and tech debt across multiple initiatives
• Mentor engineers and act as a force multiplier through coaching, design guidance, and pragmatic engineering standards

About the project

This is how we organize our work

This is how we work on a project

• Continuous Deployment
• Continuous Integration
• documentation
• issue tracking tools
• testing environments

Development opportunities we offer

• development budget
• industry-specific e-learning platforms
• intracompany training
• substantive support from technological leaders
• technical knowledge exchange within the company

What we offer

• The opportunity to tackle meaningful and challenging problems
• A chance to continuously learn and stay on top of the latest technology trends
• Work that has real-world impact, shaping the future of mobility and technology
• Regular feedback to help you grow and succeed in your role
• A collaborative and supportive team environment where your contributions are valued
• Competitive salary plus bonus
• Flexible working hours and a hybrid working environment
• Medical coverage for you and your family
• This 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)

Benefits

• private medical care
• life insurance
• remote work opportunities
• flexible working time
• integration events
• dental care
• no dress code
• coffee / tea
• drinks
• parking space for employees
• leisure zone

HERE Technologies