Senior Artificial Intelligence Engineer
Location
United States
Posted
3 days ago
Salary
$200K - $250K / year
Job Description
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:
- Responsible for building AI applications and helping 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.
Requirements
- 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.
Benefits
- The salary for this position is in the $200,000-$250,000 range annually.
Job Requirements
- 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.
Benefits
- The salary for this position is in the $200,000-$250,000 range annually.
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