Senior AI Engineer

🕒 April 20

🏛️ District of Columbia, New York – Remote

🏛️ District of Columbia – Remote 🗽 New York – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 63%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Blue Orange Digital

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $700k Corporate round on 2022-05

Consulting • Healthcare • Logistics

Blue Orange Digital is a data and AI consulting firm that helps companies turn complex data into real business outcomes. It partners with organizations across industries to design and deploy scalable data infrastructure, advanced analytics, and AI-powered solutions, and operates as a fully remote, globally distributed team focused on building practical, production-ready systems.

📋 Description

• 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 for 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 • Partner 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 • Work as a senior individual contributor in a three-to-five-person delivery pod • Report into the Practice Lead • Deliver AI strategy and implementation from discovery and architecture through shipped, measured production systems across a rotating client portfolio

🎯 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 • Resume and all application materials must be submitted in English • Background checks may be required for certain positions/projects • Preferred: 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

🏖️ Benefits

• Competitive compensation with performance bonuses • Direct access to cutting-edge tech stacks (Databricks, AWS, GCP, Azure) • Professional development budget and certification support • Flexible remote work environment • Collaborative team that values production-grade craftsmanship