Staff AI Engineer
Skills
Computer ScienceAdoptionConsumer TextilesContextHealthcareLarge Language ModelsOptimization
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- BS in Computer Science or related field or equivalent experience
- 2+ years of Agentic AI engineering experience
- 4+ years of AI/ML engineering experience
- 8+ years of software engineering or platform engineering experience
- Proven track record building and deploying production-grade AI/ML systems at scale
- Deep understanding of modern AI model architectures and system design
- Strong hands-on expertise with Vertex AI and Google’s Agentic AI stack
- Hands-on experience with Google ADK Agentspace LangChain LangGraph LlamaIndex CrewAI or AutoGen
- Proficiency in Python LLM integration workflows MCP and A2A orchestration
- Expertise in distributed training online inference and low latency serving architectures
- Experience with Kubernetes Cloud Run Dataflow and PubSub
Nice to have
- Hands-on
- Production-focused
- Cross-functional
- Secure-minded
- Innovative
- Cloud-native
Day to day
- Architect and build enterprise-scale multi-agent AI systems with LLMs and autonomous agent frameworks.
- Design and implement RAG pipelines for accurate knowledge grounding and reliable responses.
- Develop secure production-grade AI workflows and low-latency cloud architectures for healthcare enterprise use.