SeniorStaff AI Engineer
Job Summary
AI Talent Now Job # ZR 83
About the Role
Join our AI team to build Lighthouse AI - the intelligence engine that helps engineering leaders understand why their teams perform the way they do and improve performance in an age where AI is redefining the engineering craft. Youll work on natural language interfaces causal analysis models and ML-driven insights that impact how thousands of engineers work at companies like Autodesk Discord and Vimeo.
Responsibilities
Collaborate with product data and engineering teams to define design and integrate AI features seamlessly into the user experience.
Build and maintain scalable ML pipelines and infrastructure balancing speed flexibility security and scalability.
Build and optimize LLM-powered features including natural language query generation data summarization and data exploration tools.
Design and implement prompt engineering strategies evaluation frameworks and iterate on model performance.
Fine-tune Large Language Models (LLMs) or custom architectures for performance latency and cost-efficiency.
Stay up-to-date with the latest research (e.g. papers from NeurIPS ICML) and identify opportunities to apply state-of-the-art techniques to business problems.
What We Value
Living by our values over avoiding conflicts
We speak honestly act transparently and stay true to our principles especially when its difficult.
Daring to be great over eliminating weaknesses
We win by excelling at what matters most not by imitating or outdoing competitors.
Moving fast over perfection
We value learning iteration and agility more than waiting for perfect.
Individual responsibility over process
We trust you to own outcomes make thoughtful decisions and be accountable for results.
Ideal experience:
5 years of experience with a focus on AI and ML engineering
Have built and deployed AI/ML features end-to-end in a production environment
Experience working on enterprise SaaS products
Experience at an early stage startup
Degree in Computer Science Mathematics Data Science or a related field
Classical Machine Learning background
Strong in LLM or Agent engineering evaluation frameworks fine-tuning or custom architectures for latency/cost/performance
Comfortable with Docker Kubernetes Helm charts; can take ML/AI work into production
Highly independent and self-directed
AI-forward in how they personally work always using the latest tools
Required Skills:
Docker Kubernetes Helm charts; can take ML/AI work into production
Required Education:
BS in CS math or physics