AI/ML Software Engineer
Listed on 2026-07-14
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description Summary
This role is a hybrid between an AI engineer, data scientist, and software developer, designed for someone who can operate across the full lifecycle of AI system development. It involves designing, building, and evolving software in an agile environment, from front‑end interfaces to robust back‑end services, while collaborating with talented engineers and researching AI‑driven solutions to enhance product functionality and user experience.
Key Responsibilities- Design, build, and maintain agentic workflows and autonomous systems.
- Develop and integrate AI models into production‑grade applications.
- Collaborate with cross‑functional teams to gather requirements and deliver AI‑driven solutions.
- Implement orchestration logic for multi‑agent systems and task automation.
- Write clean, scalable, and maintainable code in support of AI initiatives.
- Monitor and optimize the performance of AI systems in production.
- Stay current with advancements in AI, LLMs, and agentic architectures.
Required Qualifications
- Bachelor's Degree in Computer Science or a STEM field (Science, Technology, Engineering, and Math).
- Minimum of 3 years of AI/ML engineering experience.
- Legal authorization to work in the United States.
- Proof of U.S. Person status for access to export‑controlled information.
Skills and Qualifications
- Full‑Stack Engineering experience with an AI/ML background.
- Experience with AWS tools to design and build AI‑driven systems, including prompt engineering, data pipeline prototyping, model validation, and bias/hallucination mitigation.
- Proficiency in Python, Jupyter Hub, Git Hub, Visual Studio, and related development tools.
- Exposure to designing and building agentic workflows or multi‑agent systems.
- Familiarity with orchestration frameworks such as Lang Chain, Auto Gen, CrewAI, or similar.
- Solid understanding of AI/ML concepts, including LLMs and prompt engineering.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) for solution architecture.
- Ability to navigate ambiguous or complex challenges and provide technical support to customers.
- Ability to interact with customers to understand needs and provide technical support.
Base pay range: $95,000–140,000. Pay may vary based on experience, education, and skill set. Eligible for an annual discretionary bonus and commission plans.
Employment EligibilityGE Aerospace will only employ those who are legally authorized to work in the United States for this opening. This role requires access to U.S. export‑controlled information and will be contingent upon proof of U.S. Person status.
LocationRemote position.
Equal Opportunity EmployerGE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law.
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