AI Developer
Tasks
- Analyze model and agent behavior using logs prompts responses and tool calls
- Build retrieval augmented generation capabilities and semantic search
- Collaborate to define AI use cases acceptance criteria and measurable outcomes
- Compare and evaluate models prompting approaches and retrieval strategies
- Create evaluation methods for response quality hallucination and retrieval effectiveness
- Design develop test maintain AI agents and generative AI applications
- Develop Python components using boto3 and botocore for cloud integrations
- Develop agent workflows using large language models
- Develop automated unit integration regression and AI evaluation tests
- Implement agent orchestration state management context management and retries
- Implement structured outputs schema validation and response guardrails
- Integrate agents with APIs MCP services databases and enterprise applications
- Perform prompt engineering for system prompts task instructions and tool use
Perks/Benefits
Skills/Tech-stack
API Development | API Integration | Agent Orchestration | Agile | Amazon Bedrock | Azure DevOps | Boto3 | Botocore | CI/CD | Code Reviews | Context Management | Debugging | Docker | Embeddings | Evaluation | Exception Handling | Few-Shot Learning | Few-shot | Generative AI | Git | Guardrails | Integration Testing | JSON | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Logging | MCP | Model Context Protocol | Oracle | Prompt engineering | Python | RAG | REST API | REST API Integration | REST APIs | Regression testing | Retrieval | Retrieval-Augmented Generation | SAFe | SQL | Schema Validation | Semantic Search | Source Control | State management | Structured outputs | Tool use | Unit Testing | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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