What's the role? We are looking for a Lead Agentic AI Engineer to build and integrate next-generation AI-driven capabilities that let agents take real-world action through location intelligence. You will work hands-on across modern agentic patterns, implementing how agents interact with our tools, integrating data sources, and enabling reliable execution through structured interfaces. This role is highly execution-focused and experimental, requiring rapid iteration, strong engineering fundamentals, and comfort across multiple technologies. Main responsibilities: - System development and integration: Design and implement the logic that enables AI-driven workflows. Integrate multiple data providers and services into unified execution flows, bridging backend systems, models, and user-facing interaction layers - Agentic patterns and tooling: Implement and experiment with interaction patterns that let agents act through structured tool interfaces and APIs. Build reusable components for tool handling and execution - Rapid experimentation: Prototype, test, and iterate quickly on new approaches . Evaluate trade-offs between performance, cost, and reliability - Interaction and sessions: Support reference clients and interaction flows, and implement session handling and context management where needed Who are you? - Strong hands-on experience in Rust, TypeScript, and Python (multiple preferred) - Experience with APIs, distributed systems, and service integration - Comfortable experimenting with modern AI frameworks and tools, and building systems where LLMs act through structured tool interfaces - Hands-on mindset with the ability to move quickly from idea to working implementation - Solid understanding of system design and data flow - Degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent experience 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) Change is HERE. Apply Now! #LI-AK8 #LI-HYBRID Life at HERE in Poland comes with a competitive total rewards package designed to support your health, wellbeing, and performance. This includes a base salary, a Short-Term Incentive (STI) bonus (percentage based on role), a creative tax advantage for eligible positions, private medical care (including dental), life insurance, a meal allowance, vision reimbursement, a remote work allowance (if applicable), access to MyBenefit and Multisport programs, and various wellbeing initiatives. Paid time off, sick leave, and parental leave are provided in accordance with the Polish Labor Code. As part of HERE Technologies employment process, candidates will be required to successfully complete a pre-employment screening process. This offer and any related claims are subject to the successful completion of a pre-employment screening. This will involve employment, education, and criminal verification if applicable. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

• Design and build AI-powered web applications, integrate LLMs into the platform • Develop automation workflows for research and data processing • Build AI-powered web applications that integrate LLMs and AI models into real product workflows • Integrate OpenAI, Anthropic, Ollama, or other compatible LLM providers into the platform • Build dashboards, search capabilities, AI chat functionality, and data pipelines • Develop automation workflows for research and data processing use cases • Build automations using platforms such as Make.com, n8n, Zapier, or similar orchestration tools • Build backend services and APIs using Python with FastAPI or Node.js with Express • Develop frontend interfaces using React or Next.js • Act as a technical partner to the client, facilitating brainstorming sessions and guiding non-technical stakeholders toward the best solution

Role Description We're looking for a Full-Stack AI Engineer to act as a technical partner and AI-powered full-stack engineer for a fast-moving business operation. This is more than a typical automation role. You will: - Design and build AI-powered web applications - Integrate LLMs into the platform - Architect scalable systems - Develop automation workflows for research and data processing - Serve as a collaborative technical consultant to non-technical stakeholders This is a builder and thinker role. You will: - Make architectural decisions - Suggest better solutions proactively - Guide the client through technical choices with clarity and confidence Comfort with changing requirements and genuine ownership are non-negotiable. If you are a strong full-stack engineer with deep AI and LLM experience who can communicate technical concepts simply and work independently, this role is a strong fit. Qualifications - 3 or more years of experience building and shipping production-grade applications or automation systems - Proven experience building AI-powered applications using LLMs including OpenAI, Anthropic, or Ollama - Strong full-stack engineering skills across Python and JavaScript or TypeScript - Hands-on experience with FastAPI, Node.js or Express, and React or Next.js - Comfortable designing scalable system architecture rather than simply implementing assigned tasks - Strong understanding of API integrations, webhooks, and SaaS connectivity - Excellent written and verbal communication with the ability to explain technical concepts clearly to non-technical audiences - Proactive, ownership-driven, and comfortable adapting quickly when requirements shift - Comfortable working fully remotely and managing technical deliverables independently Requirements - Experience with AI orchestration frameworks such as LangChain, LlamaIndex, or similar (Nice to Have) - Familiarity with data pipeline tooling or lightweight backend infrastructure (Nice to Have) - Background in SaaS product environments or operations-heavy businesses (Nice to Have) - Experience building search or RAG-based systems (Nice to Have) - Prior experience acting as a technical consultant or leading architecture discussions with non-technical clients (Nice to Have) Benefits - You will be paid in USD (bi-monthly: every 15th and 30th) - Paid Time Off in accordance with company policy - Observance of Holidays per company guidelines - 100% remote setup so you can work wherever you're most productive - Direct ownership over AI application architecture and automation infrastructure - Work as a true technical partner with a collaborative, ideas-driven client who values your input How to Apply Please include: - Your updated resume - A portfolio link or examples of AI-powered applications or automation systems you have built - A short Loom video (1 to 2 minutes) walking through a project you built end to end, what technical decisions you made, and how you communicated those decisions to a non-technical stakeholder Only candidates who submit both a portfolio and Loom video will be moved to the next step of the hiring process. Application Process Overview Our comprehensive selection process ensures we find the right fit for both you and our clients: - Initial Application - Submit your application and complete our prequalifying questions - Video Introduction - Record a video introduction to showcase your communication skills and work experience - Role-Specific Assessment - Complete a homework assignment tailored to the position (if applicable) - Recruitment Interview - Initial screening with our talent team - Executive Interview - Meet with senior leadership to discuss role alignment - Client Interview - Final interview with the client team you'd be supporting - Background & Reference Check - Professional reference verification - Job Offer - Successful candidates receive a formal offer to join the team Each stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. We'll keep you informed throughout the process and provide feedback at each step.

• Design, develop, and deploy production-grade applications leveraging various LLMs, context optimization, etc. • Architect and implement sophisticated, multi-step and multi-agent workflows using frameworks like LangChain and LangGraph. • Build and optimize RAG pipelines, including implementing and managing embeddings, vector databases, and advanced rerankers to enhance response quality and relevance. • Use code generation applications (e.g. Replit, Cursor, Google AI Studio, Git Hub Copilot in Agent mode, etc.) to create full applications (including frontend and backend), generate tests, perform testing and integrate them in the core product without writing any code. • Lead efforts in LLM fine-tuning (e.g., LoRA, QLoRA) for specific domain knowledge and tasks, and implement strategies for efficiency. • Develop and refine advanced prompt engineering techniques to maximize model performance, consistency, and safety. • Own end-to-end implementation from frontend to the backend. • Expose AI/LLM functionality written in Python using Java services, leverage multi-threading capabilities in Java to augment AI/LLM functionality developed in Python • Utilize AI-powered development tools (e.g., GitHub Copilot, etc.) to efficiently generate, refactor, and optimize high-quality code. • Work closely with team leads managers, QA, product managers and team in the US (this will require the willingness to partially work US working hours)