WHAT WE'RE LOOKING FOR • 3+ years building production systems • Experience with retrieval systems, embeddings, vector databases, LLMs or knowledge graphs • Production ML experience: monitoring, versioning, evaluation frameworks • Experience with LLM orchestration (LangChain, LlamaIndex) and multi-agent systems • Familiarity with semantic layers (dbt), data warehouses (Snowflake, BigQuery), enterprise data systems Nice to Have • Enterprise data systems (Snowflake, BigQuery, Salesforce, Segment, Gong) • Multi-agent systems (LangGraph, CrewAI) or workflow orchestration (Airflow, Prefect) • Knowledge graphs, graph databases, semantic layer tools (dbt, Cube) • Real-time data pipelines and streaming architectures TECH STACK Core: Python (primary), TypeScript/JavaScript, SQL LLMs: Anthropic Claude API, OpenAI, in-house frameworks Knowledge Graphs/RAG Data Infrastructure: Snowflake/BigQuery/Redshift, dbt, Kafka/Pulsar, Reverse ETL (Hightouch, Census) Enterprise Integrations: Salesforce, HubSpot, Segment, Gong, Slack, Zendesk, Mixpanel/Amplitude COMPANY CONTEXT Stage: $3.3M pre-seed, proven product-market fit, growing adoption Team: Small senior team from Uber, Lyft, OM1, Capchase. Deepline is a context manager that understands how the real-world works, with an intent compiler that turns context & natural language into outcomes with guardrails and observability.