Distinguished Engineer: Agentic SDLC & AI Productivity

Jackalope Digital LLC; Poland, Northern (ME, KY); Hybrid; USD 250,000 - 349,000; Full time

Benefits offered by this job

Flexible Paid Time Off

Equity Compensation &Employee Stock-PM

Growth and Development Fund

Parental Leave

Job summary

GitLab seeks a Distinguished or Fellow Engineer to pioneer autonomous, agentic SDLC capabilities. You will bridge Architecture, Product, Infrastructure, and Data/ML teams, driving experiments, reference architectures, and scalable patterns across a globally distributed, remote organization.

You will mentor Principal and Staff Engineers, define evaluation frameworks, and collaborate with Security/Compliance to ensure responsible AI and data governance while delivering durable internal value and

Qualifications

• 10+ years of software engineering experience and 4+ years in a Staff/Principal or similar senior technical leadership role.
• Deep expertise in AI and ML systems, including LLMs, agentic frameworks, and production-scale design.
• Proven track record of hands-on experimentation and translating findings into scalable architecture decisions.

Responsibilities

• Define and refine a company-wide technical vision for autonomous, agentic SDLC.
• Identify and prioritize productivity opportunities across the SDLC.
• Lead hands-on experiments and prototypes to validate agentic workflows.
• Design reference architectures for agentic SDLC with safety guardrails and observability.
• Define evaluation frameworks to measure safety, latency, and productivity impact.
• Mentor senior engineers and influence technical direction across teams.
• Write design documents and architecture narratives.

Skills

Senior technical leadership

AI/ML systems

Hands-on experimentation

Distributed systems

Mentoring

Remote work

Education

Bachelor's degree or higher

Job description

GitLab seeks a Distinguished or Fellow Engineer to pioneer autonomous, agentic SDLC capabilities. You will bridge Architecture, Product, Infrastructure, and Data/ML teams, driving experiments, reference architectures, and scalable patterns across a globally distributed, remote organization.

You will mentor Principal and Staff Engineers, define evaluation frameworks, and collaborate with Security/Compliance to ensure responsible AI and data governance while delivering durable internal value and