Staff AI Software Engineer
Tasks
- Build MCP servers for data connectivity
- Conduct technical reviews and integrations
- Design and deploy AI agents
- Develop embeddings and retrieval systems
- Drive Agile practices and testing for prompts and model performance
- Implement observability for AI features
- Implement retrieval-augmented generation patterns
- Implement structured prompting and context management
- Integrate LLM capabilities into products
- Lead AI platform architecture and development
- Mentor engineers and guide contractors
- Own end to end lifecycle from design to testing to production support
Perks/Benefits
Skills/Tech-stack
AI Agents | AWS | Agile | Azure | Code review | Context Management | Docker | Embeddings | GCP | Generative AI | Go | Java | JavaScript | Kubernetes | LLM | MCP | Memory Management | Model Context Protocol | Observability | PGVector | Prompt testing | Python | RAG | Retrieval-Augmented Generation | Semantic Search | Structured prompting | Testing | TypeScript | Vector Databases
Education
N/A
Roles
AI | AI Engineer | AI Software Engineer | Engineer | Software Engineer | Staff AI Engineer
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