Senior Software Developer - AI Implementation
Core
Own the sustaining engineering, feedback triage, and new capability development for an enterprise-wide AI assistant used across engineering, manufacturing, quality, and supply chain to improve schedule delivery, payload success, and cost discipline.
Role type
Senior Software Developer - AI Implementation (Hands-on IC with technical leadership)
Builds
Enterprise AI assistant platform, automated regression test suites, and new AI-assisted workflows for internal users
Domain
Aerospace / Heavy-lift launch vehicle systems / Enterprise AI & LLMs
Deliverable
production ML models | product features
Required skills
Sustaining engineering for AI platforms, LLM/agentic application development, prompt and context engineering, tool/function calling, retrieval over enterprise data, evaluation of non-deterministic output, machine-checkable guardrails implementation, automated regression testing, CI/CD pipeline management, REST/GraphQL API integration, SQL, Python, Power Query
Preferred skills
TensorFlow, Pytorch, Git-based workflows, PLM/MES/ERP/ITSM system integration, large-scale data analysis, hardware lifecycle tracking
Responsibilities
Manage recurring maintenance cadence for internal AI platform including dependency and model version management; Build and maintain automated regression coverage for 30+ production AI workflows; Monitor and remediate upstream data and schema drift across integrated enterprise systems; Implement and enforce machine-checkable guardrails for accuracy, safety, and data-handling rules; Own triage, disposition, and closure of high-volume user feedback queue; Design, build, and release new AI-assisted workflows for engineering, manufacturing, quality, and supply chain users; Conduct rigorous performance testing and fine-tuning of AI models; Manage and mentor partner development team(s) providing technical guidance; Provide thought leadership on AI strategy and roadmap planning
Seniority
Senior, hands-on IC with technical leadership