Specialist - Research Engineering

Job Summary

Description: 5-8 years of full AI Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning/GenAI applications.

Top 3 Must Have Skills

• Production AI Engineering
• Python building and operationalizing MLGenAI services with strong software engineering fundamentals
• Platform mindset reuse building shared components/templates/patterns used by multiple teams not one-off implementations

Responsibilities

• Operational readiness for AI monitoring/telemetry, production maintenance practices, and reliability-focused troubleshooting

Nice to Have Skills

• Masters degree in Computer Science, Computer Engineering, Technology, Information Systems, CISMIS Engineering, or related technical discipline or equivalent experience/training
• Experience building platform capabilities for AI/ML or GenAI solutions in a regulated enterprise environment including registry patterns, tool agent registries, private registries, grounding patterns, retrieval memory context budgeting and production hardening reference implementations accelerators that drive adoption at scale etc
• Prior experience developing and implementing generative-based AI solutions using Large Language Models (LLMs) e.g. OpenAI GPT, Google Gemini, Llama
• Exposure to cloud ML tooling and MLOps practices in enterprise environments
• Airline Industry experience

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