S
$88,000
Listed on Sourcegraph’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads machine learning and agentic systems work for a code intelligence platform, owning how AI models and multi-step agent loops power the company's developer tools. You'll set technical direction for model selection, evaluation practices, and cost-efficient agentic architectures while mentoring a senior team and shipping measurable improvements to production systems.
Our summary, not Sourcegraph’s wording. The full posting is on their site.
Skills this role names
- Docker
- Embeddings
- Go
- GraphQL
- LLM Fine-Tuning
- Machine Learning
- Model Evaluation
- Prompt Engineering
- Python
- Retrieval-Augmented Generation
- TypeScript
Log in to see which of these are already on your profile.
What they ask for
Required
- Production model lifecycle ownership with training or fine-tuning experience
- Multi-step agentic system design and implementation
- Strong evaluation judgment and dataset construction skills
- Cost and latency optimization across models and systems
- Autonomous problem-solving on ambiguous technical challenges
- Strong software engineering fundamentals and production service shipping
- Ability to mentor and up-level teammates
- Customer and product-driven mindset
Nice to have
- Shipped LLM-powered or agentic developer product
- Fine-tuned, distilled, or trained models for production constraints
- Experience with retrieval, ranking, embeddings, or search relevance
- Direct enterprise customer engagement and translation to product
- Team mentoring and raising agent engineering fluency