Senior DevRel Engineer, Build with AI, Geo Makers

Senior DevRel Engineer, Build with AI, Geo Makers _corporate_fare_ Google _place_ San Francisco, CA, USA; Mountain View, CA, USA; +3 more; +2 more Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: + Health, dental, vision, life, disability insurance + Retirement Benefits: 401(k) with company match + Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment + Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance + Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks + Baby Bonding Leave: 18 weeks + Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA . Minimum qualifications: + Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience. + 5 years of work experience in a technical role (e.g., software engineering, solutions consultant, etc.) or equivalent technical experience. Preferred qualifications: + Experience designing and implementing evaluation systems, benchmarks, or quality metrics for AI/LLM-based systems. + Experience building applications or agents with agents and Large Language Models (LLMs). + Understanding of context engineering, RAG (Retrieval-Augmented Generation), tools (e.g., MCP, Skills, CLI), and the principles of designing systems for AI agents. + Familiarity with agentic frameworks and protocols (e.g., Model Context Protocol, LangChain, Skills). + Ability to take ownership of solutions and exert influence without authority. + Track record of influencing product strategy through data-driven insights, friction logging, or

Created: 2026-04-30