
51 - 200 employees
Founded 2015
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
💰 $700k Corporate round on 2022-05
Artificial Intelligence • B2B • Enterprise
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.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $150k - $185k / year
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
👷🏻♀️ Engineer
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51 - 200 employees
Founded 2015
🤖 Artificial Intelligence
🤝 B2B
🏢 Enterprise
💰 $700k Corporate round on 2022-05
Artificial Intelligence • B2B • Enterprise
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.
• Embed with client teams to understand how work actually happens, shadowing operators and mapping processes that live in people's heads, spreadsheets, and a dozen disconnected tools • Break down complex business processes into agentic workflows: decompose a goal into steps, decide what an agent automates versus where a human stays in the loop, and design the tool-use and decision logic to match • Build production-grade agentic workflows using frameworks like LangGraph and LangChain, including tool calling, memory, routing, retries, and clean failure recovery • Build integrations to the data and operational systems that workflows depend on: CRMs, ERPs, ticketing systems, data warehouses, internal APIs, and document stores, handling auth, rate limits, and reliability • Enable core platform capabilities that the whole engagement reuses: retrieval over client documents, structured output and function calling, prompt versioning, logging, and observability • Design evaluation and guardrails that make a workflow trustworthy in an enterprise setting: task-specific evals, regression checks, PII handling, and human review steps where the stakes demand them • Run working sessions and demos that keep business stakeholders bought in, translating technical tradeoffs into clear decisions about cost, risk, and timeline • Document what you build and hand it over cleanly, so client teams can operate and extend the workflows after the engagement • Bring patterns back to BOD, turning what worked on one engagement into reusable building blocks for the next
• 3 or more years of software engineering experience building systems that run in production, plus the judgment to know what production-ready means • Hands-on experience building with LLMs: prompting, function calling, structured output, retrieval, and at least one agent or multi-step workflow you took past the prototype stage • Strong integration skills, you have connected real systems through REST APIs, webhooks, SDKs, and databases, and dealt with auth, pagination, rate limits, and flaky upstreams • Proficiency in Python, comfort with async patterns, API design, and the data-pipeline reliability that agentic workflows live or die on • Working knowledge of SQL and data systems, enough to pull what a workflow needs from a client's warehouse or operational database • Real client-facing or cross-functional skill: you can sit with a non-technical stakeholder, draw out how their process works, and earn their trust without talking down to them • Strong written and verbal communication, you can explain why an agent took a wrong turn, or why a manual step should stay manual, to a business owner without losing them • A bias toward shipping, you would rather get a working workflow in front of users this week than perfect an architecture diagram • Production experience with agent frameworks (LangGraph, AutoGen, CrewAI) or building custom orchestration • Experience with RAG systems: chunking, embeddings, vector stores (Pinecone, Weaviate, Qdrant, pgvector), and re-ranking
• Competitive compensation with performance bonuses • Problems that matter, real client processes with real constraints, not greenfield sandboxes • A front-row seat to how a dozen industries actually run, and the chance to automate the parts that slow them down • Direct access to modern AI infrastructure: AWS, GCP, Azure, Databricks, Snowflake, and the open-source ecosystem • Builder culture where engineers lead and ship, with no bureaucracy between you and the work • Professional development budget and certification support • Flexible remote work environment • A team that will push back on your design decisions and make them better • Unlimited Paid Time Off (PTO) • Paid parental/bereavement leave
Apply Now🕒 4 days ago
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