Senior AI Engineer

Blue Orange Digital

Senior AI Engineer building production-grade AI systems for clients in a collaborative, fully remote environment. Delivering transformative AI solutions across various industries and client engagements.

Posted 4/20/2026full-timeRemote • New York, Washington • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSAzurePythonUnity

About the role

Key responsibilities & impact

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

What you’ll need

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
Preferred qualifications: Databricks, AWS, or Azure certifications
Experience with MCP, tool-calling protocols, or agentic protocol design
Background in security-aware AI engineering (prompt injection, data leakage, access control)
Multimodal AI experience across text, document, and image
FinOps experience optimizing model and compute spend

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonLLM orchestration frameworksRAG architecturesvector databasesembedding pipelinesproduction AI patternsMCP serversmonitoringFinOpsagentic systems

Soft Skills

coachingcollaborationleadershipcommunicationpeer support

Certifications

Databricks certificationAWS certificationAzure certification