Principal AI Engineer

This is a fully remote position, open to applicants in Hungary.

📋 Description

• Assess, implement, and direct the effective utilization of AI tools throughout the software development lifecycle.

• Develop best practices for AI development, coding support, coding agents, AI testing, documentation, debugging, and optimizing engineering workflows.

• Train engineers to become "architects of intent" instead of merely code writers—emphasizing the importance of providing clear, high-level, context-rich goals, constraints, and validation criteria for AI agents to act upon.

• Foster a validation culture, necessitating that human engineers thoroughly review, test, and comprehend AI-generated code to minimize the risk of production issues.

• Implement multi-agent workflows using dedicated agent teams (e.g., distinct agents for planning, coding, and testing) working in parallel to automate comprehensive tasks such as PR generation, refactoring, or legacy modernization.

• Integrate agents directly into error monitoring systems and bug reporting tools (Jira) to automatically ingest stack traces, identify the root cause across the codebase, and produce a verified PR with a corresponding regression test before engineering triages the ticket.

• Prioritize refactoring for enhanced modularity, deterministic testing, and clear documentation to ensure agents can navigate, comprehend, and safely modify code, treating codebase health as the foundation for AI capability.

• Mentor Engineering team members, aiding their growth, accountability, and daily effectiveness with AI tools.

• Collaborate closely with Product Management, CX leaders, and other stakeholders to translate business requirements into high-quality technical solutions.

• Guarantee that AI development adheres to stringent standards for software quality, security, scalability, and reliability.

• Design scalable AI/ML pipelines utilizing LLMs, RAG, and agentic frameworks, and integrate AI APIs into customer-facing applications and workflows.

• Create reusable accelerators, templates, and reference architectures for the broader engineering team to leverage.

⛳️ Requirements

• A proven history of progressing beyond basic LLM chat interfaces to implementing intricate agentic frameworks that automate multi-step engineering workflows.

• Experience in architecting RAG (Retrieval-Augmented Generation) systems and advanced prompting strategies to equip agents with the high-fidelity codebase context necessary for precise planning and execution.

• Experience in evaluating or utilizing AI-enabled engineering tools and workflows, with a desire to experiment and harness emerging AI technologies.

• Experience leading a cultural shift where engineers perceive agents as force multipliers rather than replacements, promoting a transition from manual "gatekeeping" to a "co-pilot" mindset.

• Strong hands-on experience in building and supporting B2B SaaS products within a cloud-based environment.

• Experience overseeing engineering delivery for production applications, including architecture, design, development, and operations.

• A practical, delivery-focused mindset with strong technical judgment and a willingness to remain engaged with the work.

• Experience collaborating with and managing third-party engineering partners or vendors.

• Strong expertise in Azure, along with contemporary development and deployment practices.

• Solid comprehension of Agile and DevOps methodologies, with the capability to apply both strategically and practically.

• Excellent communication and stakeholder management skills, with the ability to work cross-functionally and maintain team alignment.

• Ability to articulate complex AI concepts clearly to non-technical stakeholders.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.

🏝️ Benefits

• A thought leadership role in a dynamic, rapidly expanding company that values respect and inclusivity.

• The chance to be part of a team that is shaping the future of a fast-growing scaling company.

• A competitive compensation package, benefits, and stock options, along with flexibility for remote work.