Senior AI/ML Engineer - Generative AI for Software Development
GE Aerospace10 days ago
Grand Rapids, MI, USASenior
Base Salary
$130k - $173k/yr
Responsibilities
- Design, build, and deploy LLM-powered tools for code generation, code review, debugging, refactoring, automated testing, and technical documentation.
- Develop retrieval-augmented generation pipelines grounded in codebases, requirements, design documents, standards, and domain knowledge.
- Create agentic workflows that interact with compilers, static analyzers, test frameworks, version control systems, and issue-tracking platforms.
- Evaluate and select models based on performance, cost, latency, licensing, and security requirements.
- Apply prompt engineering, fine-tuning, and parameter-efficient adaptation techniques for aerospace and embedded software use cases.
- Optimize AI model deployment for secure, on-premises, air-gapped, and classified environments.
- Integrate AI capabilities into IDE experiences, CI/CD pipelines, merge-request checks, and software quality processes.
- Establish evaluations, benchmarks, and guardrails for accuracy, security, reliability, and usability.
- Support software assurance, traceability, and human accountability in certified software environments.
- Partner with software, systems, test, cybersecurity, and business teams to identify use cases and drive adoption.
- Mentor colleagues, share best practices, and help define GE Aerospace’s generative AI engineering strategy.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related STEM field.
- At least 5 years of experience in software engineering, machine learning engineering, or a closely related technical field.
- Hands-on experience developing software solutions in production or operational environments.
- Active U.S. Government Security Clearance and U.S. citizenship, as required for maintaining the clearance.
- Strong Python programming skills and experience with modern machine learning or LLM frameworks.
- Experience building and deploying LLM applications such as RAG systems, AI coding assistants, copilots, or agent-based workflows.
- Working knowledge of C/C++ and embedded software development environments.
- Experience with vector databases, embeddings, and search technologies.
- Familiarity with fine-tuning, quantization, and efficient inference serving for production-scale LLM systems.
- Experience integrating AI capabilities into DevSecOps and software engineering workflows.
- Preferred experience in aerospace, defense, medical, automotive, or other mission-critical industries.
- Familiarity with software assurance or certification standards such as DO-178C, MISRA, or CERT C/C++.
- Knowledge of AI security, data governance, and responsible AI practices.
- Experience deploying solutions in secure, disconnected, or classified environments.
- Master’s degree in Computer Science, Machine Learning, or a related field is preferred.
- Strong problem-solving, communication, and collaboration skills.
Benefits
- Base salary range is $130,000.00-$173,000.00 annually, with eligibility for an annual discretionary bonus.
- Comprehensive medical, dental, vision, and prescription drug coverage, plus access to a Health Coach and a 24/7 Employee Assistance Program.
- Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) plan with company matching and retirement contributions, and Fidelity planning resources.
- Tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time off are provided.
- The role is onsite in Grand Rapids, Michigan, and relocation assistance is provided.
- Employment requires U.S. Person status for access to export-controlled information and successful completion of applicable screening requirements.
Categories
About GE Aerospace
GE Aerospace designs and manufactures jet and turboprop engines, plus integrated avionics, power, and mechanical systems for commercial, business, and military aircraft. It sells to airframe OEMs, airlines, and defense operators, and derives significant revenue from long-term maintenance and aftermarket support. The company is headquartered in Cincinnati, Ohio, and operates as a standalone public company on the NYSE (ticker GE).