Senior AI Engineer
Tasks
- Apply responsible AI guardrails
- Build MCP accessible agent services
- Build agentic workflows and multi agent orchestration
- Build infrastructure as code
- Build secure cloud hosted applications
- Build semantic layer for SQL and natural language to code
- Create CI CD pipelines and release processes
- Create sandboxed agent execution environments
- Design APIs and services
- Develop backend services with Python and FastAPI
- Develop backend services with TypeScript and Node
- Implement authentication, authorization, and secrets management
- Implement retrieval memory and context services
- Implement security scans and regression tests
- Instrument observability and tracing
- Integrate LLM APIs and retrieval systems
- Integrate vector databases and knowledge graphs
- Provide technical coaching through reviews and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CDK | AWS Fargate | AWS Lambda | Amazon Athena | Amazon Bedrock | Amazon Neptune | Amazon RDS | Amazon S3 | Anthropic API | Audit Logging | CI/CD | CloudFormation | Docker | FastAPI | FastMCP | Gemini API | GitHub Actions | IAM | Infrastructure as Code | Knowledge graph | Kubernetes | Langchain | Langgraph | Langsmith | MCP | Node.js | Observability | OpenAI API | OpenSearch | PostgreSQL | Pydantic | Python | RAG | Redis | SQL | Secrets management | Terraform | Tracing | TypeScript | VPC | Vector Database | “as-code”
Education
Roles
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