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Forward Deployed Engineer
Location
United States
Posted
13 days ago
Salary
$150K - $185K / year
Seniority
Senior
Job Description
Forward Deployed Engineer
Blue Orange Digital
• 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
Job Requirements
- 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
Benefits
- 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
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