Senior Software Engineer, Applied AI
- Location
- US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Build agent platform and tooling (orchestration, tool calling, evaluation harnesses, tracing, guardrails)
- Operationalize AI in the SDLC (code review assist, test generation, incident support, developer copilots)
- Reason from the trace to diagnose agent behavior and verify AI output
- Ship applied AI features end-to-end from prototype to production
- Assess AI adoption org-wide and evangelize adoption
- Mentor engineers and set engineering standards for AI
Requirements
- 6+ years of professional software engineering experience
- Direct experience on an Applied AI / product AI team building LLM- or ML-powered features
- Demonstrated judgment in agent-driven development
- Strong backend/system design skills (APIs, distributed systems, queues/workflows, observability, performance)
- Comfort navigating ambiguity and driving outcomes with cross-functional partners
- Track record of mentoring peers and leveling up engineering quality
Preferred
- Experience building platform capabilities for other engineers (SDKs, internal frameworks, developer tooling)
- Practical experience with embeddings, search/retrieval, evaluation methodologies, and model monitoring
- Experience building AI-powered tooling/products like agents and assistants at scale
- Familiarity with inference constraints (latency, cost, caching), vendor/model tradeoffs, and deployment patterns
Skills
- LLM
- ML
- RAG
- APIs
- distributed systems
- queues
- workflows
- observability
- embeddings
- search
- retrieval
- model monitoring
- SDKs
- internal frameworks
- developer tooling
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