AI Native Engineer

We are seeking an AI Native Engineer to drive the technical execution of our AI maturity journey and embed AI-driven practices across the software development lifecycle. In this role, you will design, implement, and scale agentic workflows and AI tooling that empower delivery teams to ship software faster, with higher quality and consistency. You will act as both a hands-on builder and an enabler, coaching engineers, QAs, Scrum Masters, and Product Owners on the effective use of AI assistants throughout the SDLC.

Responsibilities

• Own technical execution of the AI maturity journey up to Level 3 within assigned projects or programs
• Define and operationalize AI-driven practices across the SDLC, covering requirements, design, development, testing, documentation, and delivery
• Ensure practical, repeatable, and accessible AI solutions for all delivery roles, including Engineers, QAs, Scrum Masters, and Product Owners
• Continuously assess SDLC workflows for bottlenecks and introduce AI-powered improvements with measurable impact
• Select, configure, and maintain AI tools and assistants supporting both coding activities (code discovery, reverse engineering, automated generation, refactoring, code reviews, quality analysis, technical debt identification) and non-coding activities (requirements analysis, user story mapping, technical documentation, test case generation and maintenance)
• Integrate AI assistants with delivery platforms such as Azure DevOps, CI/CD pipelines, and diagramming tools
• Define and maintain agentic enablement architecture, including skills, subagents, rules, tech guides, and inter-agent contracts, and design coordinated agent workflows for story intake, coding, testing, and documentation
• Establish confidence thresholds, fallback strategies, and validation stages for AI-assisted workflows
• Develop and maintain usage guidelines, artifact change logs (skills, agents, guides), evaluation and experiment results, component-level technical documentation, and contribute to documentation for system design, AI-enabled workflows, and tooling standards
• Coach and support delivery roles in the effective use of AI tools, drive adoption to improve speed, quality, and consistency, and monitor usage patterns to identify gaps or misuse and propose solutions
• Track emerging AI trends relevant to the SDLC, evaluate applicability, and pilot promising approaches such as background agents, AI-enabled CI/CD workflows, and spec-driven development tools

Requirements

• 5+ years of software engineering experience, with a strong background in .NET
• At least 1 year of relevant leadership experience
• Expertise in context engineering and advanced prompt patterns, including the ability to create and maintain shared prompt libraries and reusable instruction sets
• Proficiency in AI Engineering, AI Assistants, and SDLC Implementation
• Hands-on experience with GitHub Copilot, Claude Code, and cloud-based AI platforms
• Competency in ensuring prompt consistency and workflow reusability
• Skills in integrating AI tools with SDLC systems such as Azure DevOps, CI/CD, and documentation tools
• Understanding of agentic workflows, multi-agent communication, and coordinated workflows
• In-depth understanding of the software development lifecycle, beyond just automation
• Capability to optimize SDLC processes using AI while remaining mindful of quality, security, traceability, and auditability concerns
• English language proficiency at an Upper-Intermediate level (B2) or higher

Nice to have

• Familiarity with Azure DevOps, Microsoft Azure, and Python
• Background in GenAI application development and GenAI application testing
• Knowledge of GenAI for systems engineering productivity
• Demonstrated use of GenAI for database administration productivity

Benefits

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years.
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies.
• World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact.
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices.
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys.
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life.
• Hybrid Setup: The flexibility to work from any location in Latvia, whether it's your home or our office in Riga.
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more.

• Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years
• Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies
• World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact
• Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices
• GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys
• Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life
• Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas
• Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more