A
Senior/Staff AI Engineer
AI Talent Now
2 hours ago
Full-time
On-site
San Mateo, California, United States
United States > San Mateo, United States | Posted on 06/19/2026
AI Talent Now, LLC is a powerhouse in direct‑hire talent acquisition, connecting exceptional talent with industry‑leading organizations across IT, Engineering, Financial Services & Fintech, and Manufacturing & Robotics. Headquartered in Atlanta, Georgia, we proudly serve clients and candidates nationwide.
Job Description AI Talent Now Job # ZR 83
At this exciting AI company, we are reshaping the way engineering organizations operate, with an engineering intelligence platform that provides visibility and context across the organization’s software delivery systems. This deep operational context supports engineering leaders today, and is increasingly essential as AI agents begin to operate within real software delivery environments. We are laying the foundation for how humans and AI will build software together in the years ahead.
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. You’ll 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 it’s 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.
Requirements
Staff, Principal, or TL level IC
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
#J-18808-Ljbffr
AI Talent Now, LLC is a powerhouse in direct‑hire talent acquisition, connecting exceptional talent with industry‑leading organizations across IT, Engineering, Financial Services & Fintech, and Manufacturing & Robotics. Headquartered in Atlanta, Georgia, we proudly serve clients and candidates nationwide.
Job Description AI Talent Now Job # ZR 83
At this exciting AI company, we are reshaping the way engineering organizations operate, with an engineering intelligence platform that provides visibility and context across the organization’s software delivery systems. This deep operational context supports engineering leaders today, and is increasingly essential as AI agents begin to operate within real software delivery environments. We are laying the foundation for how humans and AI will build software together in the years ahead.
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. You’ll 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 it’s 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.
Requirements
Staff, Principal, or TL level IC
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
#J-18808-Ljbffr