Principal AI Engineer
Location
Poland
Posted
11 days ago
Salary
0
Seniority
Lead
Job Description
Principal AI Engineer
HSP Group
• Join our dynamic and growing team at HSP Group as a Principal AI Engineer. • In this role, you'll lead the adoption of AI across the engineering function — designing agentic workflows, building RAG systems, and guiding engineers to become architects of intent rather than just writers of code. • You'll work directly with technology and engineering leadership to prototype and deploy AI-powered solutions, translating business problems into scalable architectures from proof-of-concept through to production. • You will partner closely with Engineering management, Product, CX, and other business stakeholders to deliver secure, scalable, customer-centric AI solutions.
Job Requirements
- Proven track record of moving beyond basic LLM chat interfaces to implementing complex agentic frameworks that automate multi-step engineering workflows.
- Experience architecting RAG (Retrieval-Augmented Generation) systems and sophisticated prompting strategies to provide agents with the high-fidelity codebase context necessary for accurate planning and execution.
- Experience evaluating or applying AI-enabled engineering tools and workflows, and a desire to experiment and capitalize on emerging AI technologies.
- Experience leading a cultural transition where engineers view agents as force-multipliers rather than replacements, encouraging a shift from manual "gatekeeping" to a "co-pilot" mindset.
- Strong hands-on experience building and supporting B2B SaaS products in a cloud-based environment.
- Experience leading engineering delivery for production applications, including architecture, design, development, and operations.
- A practical, delivery-oriented mindset with strong technical judgment and a willingness to stay close to the work.
- Experience working with and overseeing third-party engineering partners or vendors.
- Strong knowledge of Azure, along with modern development and deployment practices.
- Solid understanding of Agile and DevOps methodologies, with the ability to apply both strategically and practically.
- Strong communication and stakeholder management skills, with the ability to work cross-functionally and keep teams aligned.
- Ability to explain complex AI concepts clearly to non-technical stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Benefits
- A thought leadership position in a dynamic, rapidly growing company with a culture of respect and inclusivity.
- The opportunity to be part of a team that's shaping the future of a fast-growing scaling company.
- A competitive compensation package, benefits, and stock options, with remote work flexibility.
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