Developer IV
Tasks
- Add logging observability and feedback loops
- Apply CI CD Git based development and automated testing
- Build AI powered developer workflows and assistants
- Collaborate with cross functional stakeholders to deliver AI use cases
- Create RAG based internal knowledge solutions
- Create reference implementations and enablement assets
- Define evaluation quality and responsible AI governance practices
- Design build and scale internal AI solutions for engineering productivity
- Develop agentic SDLC automation patterns
- Develop reusable prompt tool calling and workflow patterns
- Ensure latency reliability and cost awareness
- Establish human in the loop review patterns
- Handle PII and sensitive data
- Implement caching and retrieval efficiency improvements
- Implement prompt workflow evaluation accuracy relevance and usefulness testing
- Implement tool calling and orchestration patterns
- Optimize model selection routing and prompt context
- Partner with engineering teams to define AI use cases and patterns
- Provide technical guidance for LLM RAG and agentic workflows
- Support proof of concept to production adoption
Perks/Benefits
- Dental insurance
- Health insurance
- Holidays
- Paid time off
- Professional development opportunities
- Retirement savings plan
- Vision insurance
Skills/Tech-stack
API Design | Agent Orchestration | Amazon Web Services | Automated testing | Azure | Azure OpenAI | CI/CD | Caching | Cloud platform | Function Calling | Git | Google Cloud | Google Cloud Platform | Human-in-the-loop | JavaScript | Language Models | Large Language Models | Logging | Model routing | Observability | OpenAI | Prompt engineering | Python | RAG | Retrieval Efficiency | Semantic Retrieval | The Loop | Tool-Calling | TypeScript | Vector Databases | Web Services
Education
N/A
Roles
AI | AI Developer | Developer | Engineer | Software Engineer
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