[Hiring] Senior Artificial Intelligence Engineer @Flexion

Role Description

We’re looking for a Senior Artificial Intelligence Engineer to help mature Flexion’s AI application development capabilities. Flexion is committed to providing top-tier AI application development services and is looking for an Artificial Intelligence Engineer to help us advance our capabilities. Most of the work we do is on large-scale, enterprise-wide systems (both commercial and government).

What the job looks like:

• Build AI applications and help create AI application capability within Flexion.
• Project work is primarily remote but may require some client on-site work estimated at <10%.
• Lead AI application architectural design activities, particularly in the domain of Generative AI.
• Lead AI application implementation and operations activities.
• Help Flexion develop or adopt learnable AI development and deployment patterns, and avoid common pitfalls.
• Coach other engineers in AI application development and operations.
• Potentially fill roles adjacent to AI application development, if needed.

Qualifications

• At least 10 years building and operationalizing AI/ML powered applications.
• At least 5 years experience working in an agile environment.
• A bachelor's degree or commensurate experience.
• Knowledge of lean and agile methodologies to deliver a quality product with minimal churn.
• Strong communication and coaching skills.
• Experience teaching and mentoring folks less seasoned with AI tools.
• Production-level experience with the entire ML Lifecycle including training, fine tuning, deploying, monitoring, and retraining.
• Production-level experience using and managing ML Lifecycle tooling including experiment trackers, model registry, feature stores, vector databases and deployment services.
• Production-level experience with scaling services including containerization, container orchestration, load testing, autoscaling, and monitoring.
• Production-level experience with scaling AI and ML specific services including the use of quantization, pruning, distributed computing on accelerated infrastructure, model compilation techniques, and inference graphs.
• Production-level experience with AI cloud deployment strategies and technologies.
• Production-level experience with selecting foundation or pre-trained models and finetuning them for specific use cases.
• Production-level experience with optimizing models and inference pipelines.
• Experience seeking out and exploring new potential opportunities to help partners advance their journey to, and into the use of AI.

Requirements

• Design incrementally, while still thinking about how they fit into the whole.
• Welcome change as a positive thing and never look at anything delivered as “final.”
• Understand when “good enough” really IS good enough, without ever compromising on overall product quality.

Benefits

• The salary for this position is in the $200,000-$250,000 range annually.