Senior Software Engineer (AI/ML)

TL;DR

Senior Software Engineer (AI/ML): Leading the design, development, and scaling of intelligent systems for aviation maintenance and diagnostics with an accent on NLP clustering and telemetry analysis. Focus on building production-grade AI solutions combining generative AI, aircraft-specific context, and distributed systems.

Location: Fully Remote (USA)

Company

Leading global provider of aviation software and information services, delivering predictive technology solutions to maximize aircraft uptime and operational efficiency.

What you will do

• Enhance NLP clustering algorithms using Generative AI, LLMs, and semantic clustering.
• Design and implement text embedding pipelines for PDFs and maintenance logs.
• Build statistical and ML models for pattern recognition and anomaly detection.
• Correlate pilot and maintenance defect reports with aircraft sensor data to drive actionable prescriptive insights.
• Develop scalable Python-based AI systems and microservices supporting 1000+ concurrent users.
• Mentor junior engineers and influence technical direction for scalable AI systems.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of software engineering experience with a strong AI/ML focus.
• Advanced proficiency in Python and building production-grade systems.
• Experience with NLP, embeddings, and machine learning models.
• Proven experience supporting high-concurrency applications and scalable cloud environments.
• Must be based in the USA.

Nice to have

• Hands-on experience with Generative AI and LLMs.
• Knowledge of aviation systems, telemetry, or maintenance workflows.
• Familiarity with MLOps (deployment, monitoring, model lifecycle).
• Experience with vector databases and semantic search.
• Experience with distributed systems and microservices architecture.

Culture & Benefits

• AI-forward environment focusing on driving innovation through emerging technologies.
• Collaborative culture based on the "Win Together" principle.
• Customer-centric decision-making process.
• Outcome-oriented approach to delivery and problem solving.
• Culture of challenging standards to elevate possibilities.