Sr AI Engineer
Tasks
- Build agent evaluation and guardrails
- Build retrieval and generation pipelines
- Connect agents to broker workflow surfaces
- Create document intelligence pipelines
- Deploy agent workloads on AWS and Snowflake
- Design multi agent workflows end to end
- Develop NL to SQL semantic layer
- Implement natural language querying over structured data
- Integrate agents with CRM and collaboration tools
- Orchestrate LLM tool calling across data sources
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | AWS Glue | AWS Lambda | AWS Step Functions | Agent Development | Agent guardrails | Agentic Orchestration | Amazon S3 | Amazon SageMaker | Claude API | Docker | Document Intelligence | Enterprise Integration | FastAPI | GitHub Actions | Human-in-the-loop | Kubernetes | LLM Agent | LLM agent development | Langchain | Langgraph | NL-to-SQL | OpenAI API | Pydantic | Python | Ragas | Retrieval-Augmented Generation | SQL | Semantic Modeling | Snowflake | Step Functions | The Loop
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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