Senior AI Engineer – LLM, RAG

WAYFINDER

Our Wayfinder team is building scalable, certifiable autonomy systems to power the next generation of commercial aircraft. Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment. Autonomous flight is transforming the transportation industry, and our team is at the heart of this revolution.

The Opportunity/Role Description

As Wayfinder's Senior AI Engineer (LLM, RAG), you will be pivotal in driving the performance of our AI systems. Reporting to the Manager of AI Algorithms, you will take ownership of critical AI assistant applications. Your work will involve architecting RAG pipelines, fine-tuning LLMs, and evaluating models to meet stringent performance benchmarks. This is a unique opportunity to prototype innovative solutions, bring them to production, and directly impact the future of aviation.

Role Responsibilities

• Architect and optimize RAG pipelines (data parsing, ingestion, prompt engineering, chunking, etc.).
• Develop and curate datasets, including synthetic data generation for training/evaluation.
• Evaluate LLM applications for correctness, relevance, latency, and hallucination rates.
• Deploy LLM-based applications to production, gather user feedback, and iterate for improvement.
• Write clean, maintainable, and testable code following best practices.
• Collaborate with cross-functional teams (Data/Labeling, Validation, Airbus ML teams).

Qualifications

• Master's degree (or equivalent industry experience) in computer science or a related field.
• 7+ years of relevant software engineering experience.
• 1+ years of hands-on experience with LLM/RAG development and fine-tuning.
• Proficiency in Python and data analysis libraries (Pandas, NumPy, SQL).
• Experience with vector databases and RAG evaluation frameworks.
• Strong communication and collaboration skills.

Good To Have

• Basic understanding of full-stack development (React, Python) for integrating AI solutions.
• Experience with RL, and other emerging ML techniques.
• Knowledge of MLOps tools and practices for managing AI/ML pipelines.
• Passion for aviation, autonomy and the future of flight.

Compensation:

The estimated salary range for this position is $224,000 to $259,996 annually.  Enjoy comprehensive benefits: health insurance, paid time off, holidays, 401(k), Flexible Spending Account, Health Savings Account, Airbus Employee Share Ownership Plan, flight training, and more. 

Experience flexibility with our hybrid work model, which includes three days in the office to foster collaboration and innovation while allowing for remote work options. Additionally, employees can work remotely—inside or outside the U.S.—for up to 31 days per year.

Why Join Us?

Be a part of a dynamic team that values creativity, collaboration, innovation and problem solving.  At Acubed, your contributions will directly impact our digital future.  We welcome diverse perspectives and are committed to fostering an inclusive environment.

Acubed is committed to creating a fair and equitable workplace for all. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities.

Acubed Requirements

* Please Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.

All job offers at Acubed are contingent upon the candidate passing references, background and export control checks.