Key skills
AWSCloudAILLMOpenAIAnthropicLangChainBedrockGitCI/CD
About this role
Role Overview
- Design, build, and ship production AI features
- Contribute to and strengthen the shared AI platform
- Clear-eyed scoping with product partners
- Willingness to push back when the trade-offs don't add up
- Own the evaluation and monitoring of AI features you ship
- Partner with product teams to make the right AI choices
- Produce AI features that demonstrably improve worker safety and compliance
- Hold the engineering line across the AI stack
- Improvements to the shared AI platform that compound across product teams
Requirements
- 3+ years of professional software engineering experience
- 1–2 years of meaningful production work involving LLMs, agents, or AI systems
- Hands-on LLM API experience with at least one of Anthropic, OpenAI, or AWS Bedrock
- Agent / tool-use experience with Strands Agents SDK, LangChain, or the native tool-use APIs of major providers
- Evaluation methodology
- designing eval sets, offline vs online evaluation, knowing what's measurable and what isn't
- Prompt engineering and its limits
- Production engineering fundamentals
- structured logging, observability, error handling, retries, idempotency, cost and latency awareness
- Cloud experience, AWS strongly preferred; transferable cloud skills considered
- Modern engineering hygiene
- Git, code review discipline, CI/CD
- Intellectual honesty, being comfortable saying "I don't know" or "we tried this and it didn't work"
Tech Stack
- AWS
- Cloud
Benefits
- Generous Paid Time Off
- Extended Parental Leave
- Robust Health Coverage
- Accelerated Learning Paths
- Team Wellness Initiatives
- Company-wide Events
- Employee Resource Groups
- Recognition awards