Responsibilities
- Partner with enterprises and cutting-edge startups to help us design and ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers.
- Build agentic workflows that help “agentic systems engineers” and “agentic domain engineers” explore designs, simulate changes, and validate requirements.
- Evaluate and integrate language models and related tooling, optimizing for reliability, latency, cost, and debuggability in production.
- Build and maintain the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, observability, and safety/guardrails.
- Work across the stack—from backend integrations and APIs to simple UI hooks—to deliver complete AI features, not just model endpoints.
- Partner with product and customers to identify high-value workflows, run experiments, and iterate quickly based on usage.
Requirements
- Strong software engineering fundamentals, including designing, testing, and operating services at scale in a cloud environment.
- Hands-on experience with modern LLM providers and tooling (e.g., OpenAI, Anthropic, Hugging Face, vector stores, RAG patterns).
- Comfort working directly with customers to understand their needs and solve real-world problems
- Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences
- Familiarity with prompt design, retrieval-augmented systems, evaluation methods, and safety/guardrail approaches.
- Ability to reason about tradeoffs between different models, architectures, and deployment patterns and make pragmatic decisions.
Nice to Have
- Comfortable working in a high-ownership, fast-paced environment where experiments and iteration are the norm.
Benefits
- Competitive salary and meaningful equity.
- Health, dental, and vision coverage.
- Flexible time off and support for experimentation, learning, and staying current with the AI ecosystem.
