GenAI Engineer
Tasks
- Build CI/CD pipelines
- Build RAG pipelines for trusted enterprise data
- Collaborate with architects platform teams and responsible AI stakeholders
- Create technical designs test evidence runbooks and deployment instructions
- Design develop test deploy LLM powered assistants
- Design develop test deploy agents and Custom GPTs
- Develop integration layers using APIs and event driven workflows
- Implement automated unit integration and end to end tests
- Implement embeddings and vector retrieval
- Implement human-in-the-loop controls
- Implement prompt context strategies and structured outputs
- Implement safeguards for prompt injection and data leakage
- Implement secure identity and access controls
- Implement tool calling and workflow orchestration
- Participate in agile planning backlog refinement retrospectives and release activities
- Review code and technical designs using software engineering standards
- Set up tracing monitoring for retrieval and response quality
- Troubleshoot defects across model retrieval data and infrastructure
- Use AI assisted development tools with security and quality controls
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS | AWS Lambda | Access Control | Agent Orchestration | Amazon Bedrock | Amazon EC2 | Amazon ECS | Amazon EKS | CI/CD | Docker | Embeddings | End to End | End-to-End Testing | Git | GitHub Copilot | GraphQL | IAM | Integration Patterns | Integration Testing | JavaScript | Kubernetes | Langchain | Least Privilege | Monitoring | N8n | Next.js | OAuth | OAuth 2.0 | Observability | OpenAI Codex | Prompt engineering | Python | REST | RPA | React | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | SQL | Secrets management | Secure integration | Secure integration patterns | Tool-Calling | Tracing | TypeScript | Unit Testing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
States
Cities
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