Staff AI Engineer
Skills
Computer ScienceSoftware As A ServiceContextDatabasesIntegrated CircuitsMusic CompositionOptimization
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 8+ years of software engineering experience with 3+ years in production AI agents
- Hands-on expertise with LangGraph Temporal and Pydantic for stateful multi-agent workflows
- Hands-on LangFuse expertise including tracing evaluation prompt management and dataset-driven testing
- Proficiency with agent harness frameworks such as LangChain or similar
- Deep Python proficiency and strong engineering fundamentals including testing CI/CD and architecture
- Cloud AI deployment experience in AWS Azure or GCP including containerization and inference cost management
- RAG architecture knowledge including vector databases embedding models and retrieval strategies
- B.S. in Computer Science or equivalent practical experience
Nice to have
- Enterprise SaaS or CMS experience
- AI-assisted coding fluency
- Persistent agent runtimes familiarity
- LLM fine-tuning experience
- Human-in-the-loop mindset
- Strong communication skills
- Senior IC track record
Day to day
- Design and build production-grade agentic AI workflows across Acquia DXP using LangGraph Temporal Pydantic and LangFuse.
- Ship reliable AI code daily while owning observability prompt versioning evaluation and performance benchmarking across model interactions.
- Partner with product and platform teams to deliver secure compliant enterprise AI architectures and mentor engineers through reviews pairing and design discussions.