Senior AI Engineer


Job description:

Senior AI Engineer Full Stack, LLM IntegrationLocation: Remote (US or Canada)Type: Full-time

About the Role

Were looking for a senior full stack engineer with a sharp mind for applied AI. Youll play a hands-on role in building intelligent, AI-augmented features and workflows that go beyond the surface levelworking directly with product, engineering, and design teams to turn ideas into scalable, production-grade solutions.

This role is for someone whos been in the trenches, shipping real software, architecting thoughtful systems, and experimenting with AI not just for novelty, but for impact. You'll bring deep technical chops and a product mindset to drive AI-powered innovation across the stack.

What Youll Be Doing

Design and implement AI-powered features that improve user experience and product capabilities

Evaluate and deploy LLMs, embeddings, and other AI tools to solve real business problems

Collaborate cross-functionally with engineers, designers, and product managers to align on goals and execution

Own projects from prototype to productionincluding testing, deployment, and monitoring

Guide architectural decisions around integrating AI systems into core product infrastructure

Share best practices, mentor engineers, and stay current with the evolving AI ecosystem

Think critically about when and how to use AIprioritizing real value over buzzword appeal

You'll lead initiatives that apply LLMs to tailor user experiences in a fast-moving SaaS environment.

From identifying personalization opportunities to building prototypes with techniques like RAG or fine-tuning

You'll turn complex AI capabilities into intuitive product features.

Working closely with cross-functional teams, you'll ensure the solutions you build are reliable, performant, and meaningfully enhance the user journey.

Qualifications:

What You Bring

714 years of experience building full stack web applications

Fluency in modern JavaScript/TypeScript and Python, with deep understanding of production systems

Proven history of independently delivering full featuresbackend to frontend

Experience applying AI/ML or LLMs in real products (not just playground demos)

Strong communication skills and the ability to operate in a fast-moving, ambiguity-rich environment

Comfortable balancing technical depth with business tradeoffs

Bonus: exposure to vector databases, fine-tuning workflows, or AI infrastructure tools

Masters/PHD in CS required

Why is This a Great Opportunity:

Innovative AI platform