Principal AI Engineer
Location
Spain
Posted
4 days ago
Salary
0
Seniority
Lead
Job Description
Principal AI Engineer
HSP Group
• Evaluate, implement, and guide the effective use of AI tools within the software development lifecycle. • Establish best practices for AI development, coding assistance, coding agents, AI testing, documentation, debugging, and engineering workflow optimization. • Train engineers to become "architects of intent" rather than just writers of code—focusing on providing clear, high-level, context-rich goals, constraints, and validation criteria for AI agents to execute. • Institutionalize a culture of validation, requiring human engineers to thoroughly review, test, and understand AI-generated code to reduce risk of production issues. • Deploy multi-agent workflows using dedicated agent teams (e.g., separate agents for planning, coding, and testing) operating in parallel to automate end-to-end tasks like PR generation, refactoring, or legacy modernization. • Integrate agents directly into error monitoring systems and bug reporting (Jira) to automatically ingest stack traces, locate the root cause across the codebase, and generate a verified PR with a corresponding regression test prior to engineering triaging the ticket. • Prioritize refactoring for high modularity, deterministic testing, and explicit documentation to ensure agents can navigate, understand, and safely modify code, treating codebase health as the foundation for AI capability. • Mentor members of the Engineering team, supporting their growth, accountability, and day-to-day effectiveness using AI tools. • Partner closely with Product Management, CX leaders, and other stakeholders to translate business needs into high-quality technical solutions. • Ensure AI development meets a high bar for software quality, security, scalability, and reliability. • Design scalable AI/ML pipelines using LLMs, RAG, and agentic frameworks and integrate AI APIs into customer-facing applications and workflows. • Develop reusable accelerators, templates, and reference architectures to be leveraged by the broader engineering team.
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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