Agentic AI Developer
Tasks
- Build automated eval pipelines observability guardrails and cost monitoring
- Build multi agent systems for agent orchestration planning memory and RAG
- Contribute to AI architecture coding standards and governance and mentor teammates
- Design develop and deploy production grade AI agents for business problems
- Develop reusable AI services SDKs prompt libraries and evaluation frameworks
- Evaluate and prototype foundation models and agent frameworks
- Implement AI workflows and agent orchestration in production applications
- Implement tool calling and integrate external tools
- Optimize model deployment performance and infrastructure on AWS
- Translate healthcare and business requirements into agentic workflows
Perks/Benefits
- Health and welfare benefits
- Life and accident insurance
- Life and well being benefits
- Paid time off
- Parental leave
- Retirement benefits
Skills/Tech-stack
API Development | AWS | AWS Lambda | Amazon Bedrock | Amazon S3 | Amazon SageMaker | Autogen | CI/CD | Content Filtering | Cost monitoring | CrewAI | Function Calling | Guardrails | LLM APIs | LLM Evaluation | Langgraph | Latency monitoring | MCP | Model Context Protocol | Observability | Prompt engineering | Prompt injection | Prompt injection mitigation | Python | RAG | Retrieval-Augmented Generation | SQL | Semantic Kernel | System Instructions | Testing | Token Usage Monitoring | Token usage | Tool-Calling | Tracing | Usage monitoring | Version control
Education
N/A
Roles
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