Vice President, AI / ML Software Engineer
New York, NY, United States
USD 83K-203K (estimate) Executive-level Full Time
Tasks
- Build RAG systems end to end
- Build evaluation harnesses for retrieval quality
- Design AI metadata database schemas
- Design agentic AI pipelines
- Develop embedding vectorization pipelines
- Document patterns decisions and runbooks
- Enforce content policy and data governance
- Expose AI capabilities as production APIs
- Implement multi-agent coordination
- Implement prompt assembly and output parsing
- Integrate AI into Java Spring Boot services
- Manage vector index and similarity search
- Mentor mid-level engineers
- Orchestrate retrieval with hybrid search
- Perform architecture reviews and design sessions
Perks/Benefits
Skills/Tech-stack
Azure Document Intelligence | Azure OpenAI | CI/CD | Chroma | Chunking | Cohere | Docker | Document Intelligence | Entity Extraction | Error Handling | Faiss | FastAPI | Function Calling | GPT-4o | GitLab CI | GitLab CI/CD | Golden truth evaluation | Hybrid search | Integration Testing | Java | Knowledge graphs | NLTK | OCR | OpenAI embeddings | OpenAPI | Oracle | PGVector | Pinecone | Poetry | PostgreSQL | Prompt engineering | Pydantic | Pytest | Python | RAG | REST | Rate Limiting | Re-ranking | Sentence Transformers | Spring Boot | Streaming | Structured Output | Token Management | Unit Testing | Vector embeddings | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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