Role Description We are seeking a highly motivated AI Engineer to join our team and help us accelerate software innovations for next-generation software-defined vehicles. In this role, you will be responsible for the high-quality implementation of an Agentic Framework to support our AI applications. You will be responsible for writing the production-grade code that allows our AI applications to interact with millions of vehicles in real-time. We need a "builder" who thrives on the technical details of multi-agent orchestration, tool-calling optimisation, and LLM security. You will translate architectural designs into executable, high-performance systems, taking full ownership of the development lifecycle from local prototyping to global cloud deployment. This is a hands-on role for an engineer who prioritises execution, code quality, and system reliability for multi-agent systems, AI technologies and platforms. This opportunity is for candidates who are already living in Poland. We do accommodate remote work within Poland. Duties and Responsibilities - Lead efforts to leverage existing AI models and frameworks to solve complex business challenges. - Develop agentic orchestration by designing and implementing reason and act loops that allow AI agents to decompose complex goals into actionable sub-tasks. - Design and implement a versioned prompt registry allowing for model-agnostic routing and A/B testing of system prompts. - Engineer the privacy shield for PII redaction and the hallucination verifier to audit AI-generated actions before execution. - Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services. - Strong domain expertise in the AI area including LLM, Time Series, RAG, fine-tune large models, traditional ML models, etc. - Stay current with industry trends and advancements in data science and AI technologies. - Perform data analysis and offer insights to inform business decisions across multiple domains. - Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information. - Collaborate with cross-functional teams to understand requirements and translate them into effective AI and data science solutions. - Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations. - Take charge of projects, ensuring timely completion in a dynamic work environment. Qualifications - Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required. - Strong programming skills in languages such as Golang, Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Proven experience building multi-agent systems and frameworks with adaptive orchestration. - Deep understanding of Jailbreak Detection (e.g., LlamaGuard) and PII masking techniques to ensure safe LLM interactions in regulated environments. - In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms. - Solid experience in data preprocessing, feature engineering, and model evaluation techniques. - Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus. - Strong knowledge of software development best practices, version control systems, and agile methodologies. - Results-driven with a positive can-do attitude and excellent problem-solving skills. - Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. - Experience in the automotive industry is highly desirable.

• Design and implement end-to-end AI architecture for a new product within Tech Risk, focused on SOC reporting and intelligent automation. • Define and govern AI models, pipelines, and infrastructure, ensuring scalability, security, and compliance with enterprise and regulatory standards. • Drive innovation by incorporating LLMs, generative AI, and advanced analytics into product capabilities. • Collaborate with cross-functional teams to translate business requirements into AI-driven solutions. • Architect end-to-end AI platforms across cloud environments (Azure, AWS, GCP).

• Help architect intelligent solutions that combine Generative AI, automation, and data to solve real business challenges across multiple industries • Work alongside experienced consultants, engineers, and AI specialists, gaining hands-on experience designing prototypes, building AI workflows, and exploring the next generation of intelligent systems • Lead a team of junior AI consultants or interns in executing the project's prioritized in the backlog • Design and develop AI agents, assistants, and intelligent workflows that address real business needs • Support the automation of internal and client processes using Generative AI technologies and modern AI platforms • Explore emerging AI capabilities, including LLMs, copilots, automation frameworks, and intelligent orchestration tools • Collaborate with Data, AI, and business teams to translate opportunities into practical technical solutions • Build prototypes, proofs of concept (PoCs), and demonstrations that validate new AI use cases • Contribute to documenting architectures, learnings, implementation patterns, and reusable best practices • Analyze business processes and identify opportunities where AI can improve productivity and operational efficiency • Participate in innovation initiatives that evaluate new models, tools, and AI capabilities before they reach production • Develop a consulting mindset by combining technical experimentation with measurable business outcomes

• Own and refine the overarching AI platform story, with special emphasis on context-first document management, AI and agentic automations, scalability, security, and extensibility. • Define differentiated messaging and value propositions for platform capabilities across personas and industries. • Define differentiated FedRAMP messaging and value propositions for platform capabilities across personas and industries while supporting related content programs. • Ensure consistency and clarity of AI platform-level messaging across all marketing, enablement, and sales touchpoints. • Lead platform feature releases, orchestrating cross-functional launch strategies for AI, cloud, and core platform enhancements. • Partner with Product Management to influence roadmap decisions based on market opportunity, customer needs, and competitive insights. • Drive content strategy for platform launches, including pitch decks, solution briefs, whitepapers, demos, customer stories, webpages, and sales tools. • Own competitive and market intelligence for platform-level capabilities, especially in AI-driven information management and cloud content services. • Identify market trends, customer pain points, and emerging competitors to guide product and GTM strategy. • Deliver actionable insights to Sales, Product, and Executive teams. • Partner with Sales Enablement to ensure clear understanding of platform capabilities, differentiation, and value drivers. • Support customer-facing teams with platform-level messaging guides, battlecards, objection handling, and training content. • Collaborate with cross-functional teams to position M-Files as an industry leader in AI-powered information management. • Represent M-Files in webinars, events, analyst briefings, and customer engagements as a platform subject-matter expert.