Senior Vice President, AI / Machine Learning Software Engineer
New York, NY, United States
USD 104K-215K (estimate) Senior-level Full Time
Tasks
- Architect agentic AI systems
- Build AI assisted developer tooling
- Build autonomous extraction agents
- Build embedding pipelines
- Conduct architecture reviews and technical decisions
- Contribute to Java Spring Boot platform services
- Coordinate cross team platform and infrastructure dependencies
- Define embedding and vectorization strategy
- Define observability and telemetry
- Design and evolve RAG infrastructure
- Design feedback loops with human in the loop
- Develop Python FastAPI AI service layer
- Develop evaluation frameworks
- Develop scoring and validation systems
- Implement agent loops and tool registries
- Implement knowledge graph construction
- Lead and mentor engineers
- Manage schema evolution and data stores
- Own AI pipeline orchestration framework
- Own CI CD pipelines and container deployments
- Own sprint planning and delivery commitments
Perks/Benefits
- Flexible global resources
- Generous paid leave
- Paid time off for health and resilience initiatives
- Paid volunteer time
- Wellbeing programs
Skills/Tech-stack
A/B | A/B Testing | Agent systems | Async/Await | B testing | CI/CD | Caching | Circuit Breakers | Docker | Entity Extraction | Event Driven | Event-driven architecture | Faiss | FastAPI | GitLab CI | GitLab CI/CD | Graph RAG | Human Feedback | Hybrid search | Java | Knowledge graphs | LLM orchestration | LoRA | Maven | Multi-Agent | Multi-Agent Systems | NLP | OCR | Observability | OpenAI embeddings | Oracle | Pinecone | Planning Loops | Poetry | PostgreSQL | Pydantic | Pytest | Python | QLoRA | RLHF | Re-ranking | React | Reinforcement from human feedback | Relationship mapping | Retrieval-Augmented Generation | Sentence Transformers | Spring Boot | Token tracking | Tool use | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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