Senior AI Engineer/AI Lead
Tasks
- Architect quality control mechanisms
- Build evaluation pipelines for AI outputs
- Collaborate with engineering, quality, regulatory teams
- Create technical documentation
- Define CI CD and MLOps strategies
- Design multi-agent AI architectures
- Develop MCP servers and secure integrations
- Implement prompt engineering strategies
- Manage model lifecycle monitoring and deployment
- Mentor junior engineers
- Orchestrate agent workflows
- Validate AI solutions for regulated standards
Perks/Benefits
- Career growth
- Continuous learning
- Flexible work arrangements
- Global team collaboration
- Healthcare impact
- Innovation opportunities
- Professional development
- Remote work
Skills/Tech-stack
API Design | AWS Bedrock | AWS Lambda | Agent systems | Amazon S3 | Benchmarking | CI/CD | CloudTrail | Containerization | CrewAI | IAM | Infrastructure as Code | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Model Context Protocol | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | RAG | Regression testing | Retrieval-Augmented Generation | Secure integrations | Testing | Version control | “as-code”
Education
Roles
AI | AI Engineer | AI Lead | Engineer | Lead | Senior AI Engineer
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