Senior AI Engineer in Santa Clara

Energy Jobline
Santa Clara, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 300K

Job location

Santa Clara, United States of America

Tech stack

Artificial Intelligence
Distributed Systems
Python
Data Streaming
PyTorch
Large Language Models
Multi-Agent Systems
Deep Learning
Kubernetes
Machine Learning Operations
Virtual Agents

Job description

A venture-backed Physical AI company based in San Francisco is partnering with us to hire an AI Engineer to work on cutting-edge multi-modal AI agent systems. This team is building intelligence that can perceive, reason, and act in the physical world by combining large models, vision models, and real-world data streams.

About the Role

This role sits at the intersection of AI research and production engineering, focusing on building robust agent architectures capable of reasoning across text, images, video, and sensor inputs.

Responsibilities

  • Design and develop multi-modal AI agents capable of reasoning across text, vision, and sensor data
  • Build agent architectures leveraging vision models, and tool-use frameworks
  • Implement planning, memory, and decision-making pipelines for autonomous systems
  • Develop scalable inference pipelines for real-time AI applications
  • Work on integrating AI models with physical systems, robotics, or sensor environments
  • Optimize models and systems for latency, reliability, and real-world deployment
  • Collaborate with cross-functional teams to bring AI systems from research to production

Requirements

  • Strong experience building AI agents or agentic systems
  • Hands-on experience with multi-modal AI models (LLMs + Vision / Video / Sensor data)
  • Strong Python skills and experience with PyTorch or similar deep learning frameworks
  • Experience with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar)
  • Experience working with tool-using agents, planning frameworks, or autonomous workflows
  • Familiarity with distributed systems or production ML systems

Benefits & conditions

Pay range and compensation package

The role is offering a salary of up to $300,000 per annum and will work on a hybrid working schedule. The role will come with a significant equity portion also.

About the company

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide. We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

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