Senior Forward Deployed Engineer
New
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Blue MachinesAI platform
Texas, United States. New York, New York, United States. Pennsylvania, United States. Florida, United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5–8 years of software engineering experience, including at least 2–3 years in customer-facing, solutions, or integration engineering roles
- Required Skills
- AWSPythonGCPJavaOAuthAzureRESTful APIsLangChain
Requirements
- Have 5–8 years of software engineering experience, including at least 2–3 years in customer-facing, solutions, or integration engineering roles.
- Have strong expertise in Python or Java for backend services and integrations.
- Have hands-on experience deploying and operating production workloads on a major cloud platform; GCP is preferred.
- Have a track record of designing and shipping large-scale integrations with enterprise systems.
- Understand API design and authentication and authorization protocols, including OAuth2, JWT, SAML/SSO, and mTLS.
- Have practical experience with AI/LLM ecosystems, such as prompt engineering, RAG, LangChain-style orchestration, or agent frameworks.
- Have system design experience making trade-offs around performance, reliability, and security.
- Be comfortable working directly with senior customer stakeholders.
- Healthcare software experience, HL7 v2, FHIR, EHR integrations, HIPAA, PHI, SOC 2, or HITRUST knowledge is a bonus.
- Experience with telephony, real-time communication, voice AI, Postman, Wireshark, observability tools, CI/CD, Docker, or Kubernetes is an additional plus.
Responsibilities
- Architect, build, and own complex integrations using REST APIs, WebSockets, and webhooks.
- Design and deploy production solutions on GCP, AWS, or Azure, including networking, security, and cost decisions.
- Integrate AI/LLM capabilities into customer workflows, including prompt design, orchestration, and evaluation.
- Run customer discovery, translate business requirements into technical solutions, and drive deployments to go-live.
- Debug critical production issues across distributed systems and lead root-cause analysis.
- Set up observability, monitoring, and alerting for integration workflows.
- Build reusable connectors, frameworks, and deployment best practices.
- Mentor engineers and share customer insights with Product and Engineering.
- Travel to customer sites as needed, roughly 10–20%.
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