Remote•Remote
Remote
Senior
Full Time
💰$88,000 - $176,000
remotestaff-levelmachine-learningagentic-systemstechnical-leadershipproduction-mlevaluationsoftware-engineering
Requirements
- •Owned a production model lifecycle including training or fine-tuning and production rollout
- •Designed and built multi-step agentic systems that are reliable, observable, and cost-bounded
- •Strong evaluation judgment with experience building datasets, baselines, error taxonomies, and release criteria
- •Ability to make quality, latency, and cost tradeoffs using model selection, prompting, retrieval, caching, distillation, and fine-tuning
- •Operate autonomously on ambiguous, high-technical-risk problems
- •Strong software engineering skills with ability to ship production services
- •Comfortable with Go, TypeScript, GraphQL, Postgres, Docker or ability to learn quickly
- •Fluent with agentic coding tools and understand their outputs
- •Experience working in async-first, multi-service, fast-paced remote environments
- •Customer and product-driven mindset
- •Pragmatic approach favoring robust and simple solutions
What You'll Do
- •Design and harden multi-step, tool-using agent loops for agentic experiences
- •Craft and apply evaluations to measure product changes and quality
- •Select, upgrade, and fine-tune machine learning models
- •Engineer retrieval and context systems to ground models in customer code
- •Manage cost and latency as product features through profiling and optimization
- •Ship production services and own end-to-end product slices
- •Set technical direction and standards for agent engineering and agentic systems
- •Mentor and up-level teammates in building with models
- •Participate in on-call support rotation
Nice to Have
- •Experience shipping LLM-powered or agentic developer-facing products
- •Experience fine-tuning, distilling, or training models to meet cost, latency, or quality targets in production
- •Experience with retrieval, ranking, embeddings, or search relevance
- •Experience working directly with enterprise customers and translating needs into product
- •Experience mentoring or up-leveling engineers, especially in agent engineering
Benefits
- •Above-market salaries
- •Meaningful equity
- •Generous perks and benefits
About Sourcegraph
The complete AI SDLC platform where devs can compose code, contextualize knowledge, and catalyze delivery.
San Francisco, CA, US
100 - 200
Developer Tools