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About the Role
Blue Orange Digital is scaling its AI practice and needs Senior AI Engineers to deliver production agentic and AI systems to client engagements. The work involves deep, single-client transformations and portfolio-wide programs, including end-to-end AI transformations, AI readiness assessments, production RAG and retrieval systems, agentic tooling, evals, observability, and internal AI enablement.
Responsibilities
- Build production-grade agentic systems on Databricks and other lakehouse platforms, including orchestration frameworks, task runners, and monitoring layers
- Implement RAG pipelines, vector stores, and retrieval architectures that hold up under real-world load
- Stand up evals, observability, and guardrails for client-deployed AI systems
- Design and integrate MCP servers and tool-calling layers between LLMs and client systems
- Lead the AI engineering workstream on a client pod, partnering with the Architect on platform decisions and the Consultant on roadmap
- Coach client engineering teams on production AI patterns, including prompt management, model routing, and FinOps
- Contribute to BOD’s internal Edge product suite, including reference architectures and the Blueprint scan engine
Requirements
- 5+ years building production data and ML systems in Python; 2+ years specifically on LLM-based or agentic systems
- Hands-on experience with at least one major LLM orchestration framework (LangChain, LangGraph, Langflow, Databricks Agent Framework, or equivalent)
- Production experience with Databricks (Unity Catalog, Delta Live Tables, MLflow) or comparable lakehouse platforms such as Snowflake with dbt
- Deep knowledge of RAG architectures, vector databases, and embedding pipelines
- Proven track record taking AI systems from prototype to production, including evals, monitoring, and on-call ownership
- Comfortable working directly with client engineering teams as a peer and a coach
- Databricks, AWS, or Azure certifications (preferred)
- Experience with MCP, tool-calling protocols, or agentic protocol design (preferred)
- Background in security-aware AI engineering (prompt injection, data leakage, access control) (preferred)
- Multimodal AI experience across text, document, and image (preferred)
- FinOps experience optimizing model and compute spend (preferred)
Skills
- Python
- LLM orchestration frameworks
- LangChain
- LangGraph
- Langflow
- Databricks Agent Framework
- Databricks
- Unity Catalog
- Delta Live Tables
- MLflow
- Snowflake
- dbt
- RAG architectures
- Vector databases
- Embedding pipelines
- Evals
- Monitoring
- On-call ownership
- MCP
- Tool-calling protocols
- Agentic protocol design
- Prompt injection
- Data leakage
- Access control
- Multimodal AI
- FinOps
- Prompt management
- Model routing
Location
- Remote
Work Type
- Remote
- Full-time
Experience Level
- Senior
- 5+ years
- 2+ years
Benefits
- Competitive compensation with performance bonuses
- Work on diverse, challenging projects across industries
- Direct access to cutting-edge tech stacks (Databricks, AWS, GCP, Azure)
- Builder culture where engineers lead and ship
- Professional development budget and certification support
- Flexible remote work environment
- Collaborative team that values production-grade craftsmanship
About the Company
- Blue Orange Digital is a data engineering and AI consultancy that builds production-grade data platforms, ML systems, and analytics solutions for companies that take their data seriously.
- We are builders, embedding directly into client engineering organizations to ship code and build lasting capability.
- Our clients include Fortune 500 enterprises, high-growth startups, and private equity portfolio companies.
- We partner with Databricks, Snowflake, AWS, GCP, and Azure to deliver measurable ROI.
Equal Opportunity
- Blue Orange Digital is an equal-opportunity employer.