AI Developer
Tasks
- Build AI agents and internal applications
- Build user facing UIs
- Create backend services and data pipelines
- Design AI-powered services
- Design retrieval pipelines
- Develop MCP model context protocol servers
- Implement authentication and RBAC
- Instrument prompts with traces and evals
- Integrate large language models into products
- Manage container networking and secrets handling
- Mentor engineers on applied AI patterns
Perks/Benefits
- 401k match
- Discretionary bonus program
- Flexible work schedule
- Home allowance
- Paid time off
- Year-end holiday shutdown
Skills/Tech-stack
API Design | Access Control | Airflow | Chunking | Containerization | Dagster | Data Modeling | Docker | Docker Compose | Embeddings | Evals | Function Calling | JSON Schema | LLM | Langfuse | Langsmith | Language Models | Large Language Models | Linux | MCP | Model Context Protocol | OIDC | Observability | PGVector | Phoenix | Pinecone | Prefect | Prompt engineering | Python | Qdrant | RAG | RBAC | React | Regression testing | Relational databases | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | SQL | SSO | Structured Output | Vector Databases | Vector Search | Weaviate
Education
N/A
Roles
AI | AI Developer | Developer | Engineer | Learning Engineer | Machine Learning Engineer
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