Note: The job is a remote job and is open to candidates in USA. Lynx delivers modular, open standards–based software that transforms how high-assurance, mission-critical edge systems are built, deployed, and maintained. They are seeking a Principal AI Platform Engineer to own the AI platform as the engineering backbone for AI-assisted certification and engineering workflows, ensuring it is secure, stable, measurable, and extensible.

Responsibilities

• Define and enforce the platform standard for how AI tools use orchestration frameworks, prompt assets, tracing, and metadata
• Bring existing advanced tools into alignment with shared platform conventions while preserving important agentic or workflow-specific behavior
• Build and maintain Azure-based production infrastructure, including networking, identity, secrets, storage, database, monitoring, and deployment patterns
• Implement infrastructure as code and CI/CD for sandbox-to-production promotion
• Deepen LLMOps capabilities, including prompt versioning, golden datasets, automated evaluations, cost tracking, feedback loops, regression detection, and release controls
• Own secure integrations with CodeBeamer, GitHub, and event-driven APIs or webhooks
• Establish operational discipline through logging, alerting, rollback, test coverage, runbooks, rate limiting, and supportability
• Partner with engineering, IT, security, and compliance stakeholders to support auditable AI-assisted workflows
• Own and evolve the Platform AI to provide standard and secure approach to access AI assisted capabilities across the organization for certification workflows
• Mentor and coach other senior/intermediate engineers on team, provide technical guidance, and conduct architectural review for trade offs
• Help define technical trajectory of the platform and AI tools

Skills

• 10+ years of relevant experience
• Bachelor's Degree in engineering related discipline preferred
• Strong Python backend engineering and API integration experience
• Strong Azure platform experience, especially Container Apps, VNet/private endpoints, Entra ID, Managed Identity, Key Vault, PostgreSQL, ACR, and monitoring
• Hands-on experience with LLM application frameworks such as LangChain, LangGraph, or close equivalents
• Hands-on experience with LLM observability or evaluation tooling such as Langfuse or equivalent tracing and eval systems
• Experience building CI/CD and infrastructure as code with Terraform, Bicep, GitHub Actions, Azure DevOps, or comparable tools
• Experience securing internal platforms with RBAC, secrets management, service-to-service auth, webhook validation, rate limiting, and audit logging
• Ability to design reliable multi-step or agentic workflows, including retries, state handling, guardrails, and output validation
• Strong operational judgment around testing, rollback, monitoring, alerting, documentation, and runbooks
• Must be a US Citizen
• Experience in regulated, safety-critical, aerospace, defense, medical, or similarly controlled environments
• Familiarity with DO-178C-style traceability, auditability, formal review workflows, or human-in-the-loop approval requirements
• Experience integrating with CodeBeamer, GitHub Enterprise, Jira, or similar enterprise engineering systems
• Familiarity with C/C++ code analysis or test-generation workflows
• Experience with prompt governance, change control, and evaluation datasets
• Some comfort with internal-tool UI work such as React, though this should remain secondary to platform, backend, and infrastructure strength

Benefits

• Low-cost Medical / Dental / Vision coverage options
• 401K with generous employer match
• Responsible Paid Time Off + Paid Holidays
• Remote work opportunities based on role
• Employee Assistance Program (EAP)
• Career growth and professional development opportunities

Company Overview