Forward Deployed Engineer, FDE

🔥 3 minutes ago

🐊 Florida, New York, +2 more states – Remote

🐊 Florida – Remote 🗽 New York – Remote 🔔 Pennsylvania – Remote 🤠 Texas – Remote

💵 $150k - $200k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

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Blue Machines AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2025

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

SaaS • Enterprise • Artificial Intelligence

Blue Machines AI is an enterprise software company focused on Voice AI and Conversational Intelligence. The company provides an enterprise-grade Voice AI platform designed for reliability, compliance, and scalability, enabling rapid deployment of agentic Voice AI systems across sectors like lending, healthcare, insurance, recruitment, mutual funds, and edtech. The platform delivers real-time performance with sub-300 ms latency, multilingual capabilities (including Indian and global languages), and strong enterprise governance for privacy, compliance, and security. Blue Machines pairs its platform with Forward-Deployed Engineers (FDEs) to ensure seamless transitions from prototype to production and claims rapid time-to-production (under a week) and 100% implementation success. The company targets enterprises building agentic AI voice solutions for customer service, decisioning, and automation.

📋 Description

• Architect, build, and own complex integrations using REST APIs, WebSockets, and webhooks, focusing on scalability, low latency, and fault tolerance • Design and deploy production solutions on GCP, AWS, or Azure, including networking, security, and cost decisions • Lead integration of AI/LLM capabilities, including prompt design, orchestration, and evaluation, into customer workflows • Act as the main technical contact for enterprise customers • Run discovery, translate business requirements into technical solutions, and drive deployments to go-live • Debug and resolve critical production issues across distributed systems • Lead root-cause analysis • Set up observability, monitoring, and alerting for integration workflows • Drive automation and documentation standards • Build reusable connectors, frameworks, and best practices to accelerate future deployments • Mentor engineers • Work with Product and Engineering to feed customer insights into the platform roadmap • Travel to customer sites as needed, roughly 10–20%

🎯 Requirements

• 5–8 years of software engineering experience, including at least 2–3 years in customer-facing, solutions, or integration engineering roles • Strong expertise in Python or Java for backend services and integrations • Required: deep hands-on experience deploying and operating production workloads on a major cloud platform (GCP preferred) • Proven track record of designing and shipping large-scale integrations with enterprise systems (CRMs, contact center platforms, ERPs, internal APIs) • Strong command of API design and authentication/authorization protocols (OAuth2, JWT, SAML/SSO, mTLS) • Practical experience building with AI/LLM ecosystems (prompt engineering, RAG, LangChain-style orchestration, or agent frameworks) • Strong system design skills, with experience making trade-offs around performance, reliability, and security • Excellent problem-solving and communication skills, including comfort working directly with senior customer stakeholders • Experience building or deploying software in healthcare, health tech, or digital health • Familiarity with healthcare interoperability standards (HL7 v2, FHIR) and EHR integrations (Epic, Oracle Health/Cerner, athenahealth) • Working knowledge of HIPAA, handling of PHI, and compliance frameworks such as SOC 2 or HITRUST • Exposure to provider, payer, or patient-engagement workflows (scheduling, prior authorization, care coordination, patient outreach) • Experience with telephony and real-time communication (SIP, WebRTC, Twilio, Genesys, Five9, Amazon Connect, Avaya) and voice AI pipelines (ASR/TTS) • Hands-on experience with Postman, Wireshark, and observability stacks (Datadog, Grafana, Prometheus, OpenTelemetry) • Strong grasp of CI/CD, containerization (Docker), and orchestration (Kubernetes) • Prior experience as a Forward Deployed Engineer, Solutions Architect, or Technical Consultant at a high-growth startup

🏖️ Benefits

• Travel to customer sites as needed (roughly 10–20%) • Equal opportunity employer • Qualified applicants with arrest and conviction records will be considered in line with the San Francisco Fair Chance Ordinance

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