Forward Deployed Engineer

Company overview:Blue Orange Digital is a data engineering and AI consultancy that builds production-grade data platforms, ML systems, and GenAI solutions for companies that take their data seriously. We are not a staff augmentation shop or a slide-deck consultancy. We are builders. Our teams embed directly into client organizations, shipping code alongside their teams to accelerate delivery and build lasting capability.Our clients include Fortune 500 enterprises and high-growth startups across industries. We partner with Snowflake, Databricks, AWS, GCP, and Azure to deliver battle-tested solutions that drive measurable ROI.Note: Please submit your resume in English, as all application materials must be in English for review and consideration.Engagement: Independent Contractor (with potential transition to full-time employment)Position overview:This is the person we send into a client when the problem is not yet a spec. You sit with their operators, finance leads, and analysts, watch how work actually gets done, and turn messy real-world processes into agentic AI workflows that hold up in production.You are dual-fluent by design. In the morning you map a claims-handling or order-to-cash process with a business owner who has never written a line of code. In the afternoon you wire that process into an agent that calls their CRM, queries their warehouse, and routes exceptions to the right human. You translate in both directions, turning vague business pain into concrete technical scope, and turning technical constraints into options a non-technical stakeholder can decide on.The role is a balanced bridge. Roughly half your time is discovery, facilitation, and trust-building with client teams. The other half is hands-on engineering: building the agent logic, the integrations, and the evaluation that proves it works. You will not stop at a prototype. You ship the workflow, instrument it, and hand over something the client can run and extend.Responsibilities: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 toolsBreak 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 matchBuild production-grade agentic workflows using frameworks like LangGraph and LangChain, including tool calling, memory, routing, retries, and clean failure recoveryBuild 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 reliabilityEnable core platform capabilities that the whole engagement reuses: retrieval over client documents, structured output and function calling, prompt versioning, logging, and observabilityDesign 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 themRun working sessions and demos that keep business stakeholders bought in, translating technical tradeoffs into clear decisions about cost, risk, and timelineDocument what you build and hand it over cleanly, so client teams can operate and extend the workflows after the engagementBring patterns back to BOD, turning what worked on one engagement into reusable building blocks for the nextRequirements:3 or more years of software engineering experience building systems that run in production, plus the judgment to know what production-ready meansHands-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 stageStrong integration skills, you have connected real systems through REST APIs, webhooks, SDKs, and databases, and dealt with auth, pagination, rate limits, and flaky upstreamsProficiency in Python, comfort with async patterns, API design, and the data-pipeline reliability that agentic workflows live or die onWorking knowledge of SQL and data systems, enough to pull what a workflow needs from a client’s warehouse or operational databaseReal 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 themStrong 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 themA bias toward shipping, you would rather get a working workflow in front of users this week than perfect an architecture diagramProduction experience with agent frameworks (LangGraph, AutoGen, CrewAI) or building custom orchestrationExperience with RAG systems: chunking, embeddings, vector stores (Pinecone, Weaviate, Qdrant, pgvector), and re-rankingPreferred qualifications:Familiarity with LLM evaluation: task-specific metrics, LLM-as-judge, and regression test suitesBackground in process mapping, solutions engineering, forward-deployed work, or technical consulting across concurrent engagementsExperience with workflow and integration platforms (Temporal, Airflow, Zapier, n8n) or iPaaS toolingExposure to a major cloud and its AI services (AWS Bedrock or SageMaker, GCP Vertex AI, Azure ML)Benefits:Competitive compensation with performance bonusesProblems that matter, real client processes with real constraints, not greenfield sandboxesA front-row seat to how a dozen industries actually run, and the chance to automate the parts that slow them downDirect access to modern AI infrastructure: AWS, GCP, Azure, Databricks, Snowflake, and the open-source ecosystemBuilder culture where engineers lead and ship, with no bureaucracy between you and the workProfessional development budget and certification supportFlexible remote work environmentA team that will push back on your design decisions and make them betterUnlimited Paid Time Off (PTO)Paid parental/bereavement leaveSalary: $150,000 - $185,000 (yearly)Background checks may be required for certain positions/projects.Blue Orange Digital is an equal-opportunity employer.

• 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

Preferred qualifications:

• Familiarity with LLM evaluation: task-specific metrics, LLM-as-judge, and regression test suites
• Background in process mapping, solutions engineering, forward-deployed work, or technical consulting across concurrent engagements
• Experience with workflow and integration platforms (Temporal, Airflow, Zapier, n8n) or iPaaS tooling
• Exposure to a major cloud and its AI services (AWS Bedrock or SageMaker, GCP Vertex AI, Azure ML)

• 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

Salary: $150,000 - $185,000 (yearly)

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal-opportunity employer.

Blue Orange Digital is a data engineering and AI consultancy that builds production-grade data platforms, ML systems, and GenAI solutions for companies that take their data seriously. We are not a staff augmentation shop or a slide-deck consultancy. We are builders. Our teams embed directly into client organizations, shipping code alongside their teams to accelerate delivery and build lasting capability.

Our clients include Fortune 500 enterprises and high-growth startups across industries. We partner with Snowflake, Databricks, AWS, GCP, and Azure to deliver battle-tested solutions that drive measurable ROI.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.