Senior AI Engineer
Tasks
- Coach and mentor junior team members
- Deliver external thought leadership and presentations
- Design agentic workflows
- Develop and deploy containerized agentic applications
- Integrate AI agents with enterprise systems
- Maintain production monitoring evaluation and observability
- Manage senior stakeholder relationships
- Own end to end solution architecture on cloud
- Perform process discovery and optimization workshops
- Translate business requirements into agentic process designs
- Validate agentic workflow solutions
Perks/Benefits
- Flexible rewards plan
- Flexible work arrangements
- Health benefits
- Hybrid work
- Insurance coverage
- Parental and caregiver support
- Sustainable transport options
- Wellbeing activities
Skills/Tech-stack
AWS | Agent Design | Agent design patterns | Azure | CI/CD | Design Patterns | Docker | Evaluation | Kubernetes | Langgraph | Language Models | Large Language Models | MLOps | Monitoring | Networking | Observability | PGVector | Pinecone | Process Mapping | Project Management | Prompt engineering | Pydantic AI | Python | RAG | Scaling | Security | Snowflake | Storage | Vector Databases | Weaviate
Education
Master of Computer Science | Master of Engineering | Master of Science | Master of Science in Artificial Intelligence | Master of Science in Software Engineering
Roles
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