AI Engineer (Fremont)
Customer - Our customer offers an enterprise grade, Agentic-AI solution/platform to help customers de-risk, optimize and rationalize their entire application portfolio, based on deep actionable insights.
Job Title - AI Engineer
Location - Fremont, California, United States
Type - Fulltime
H1 Sponsorship is available
As an AI Engineer, youll help build the next generation of intelligent Agents that power this platform autonomous systems that reason, collaborate, and deliver actionable insights across complex enterprise environments. Youll work at the frontier of applied AI blending model engineering, orchestration, and product thinking to make AI truly useful and reliable in enterprise contexts.
What Youll Do
Job Title - AI Engineer
Location - Fremont, California, United States
Type - Fulltime
H1 Sponsorship is available
As an AI Engineer, youll help build the next generation of intelligent Agents that power this platform autonomous systems that reason, collaborate, and deliver actionable insights across complex enterprise environments. Youll work at the frontier of applied AI blending model engineering, orchestration, and product thinking to make AI truly useful and reliable in enterprise contexts.
What Youll Do
- Design, build, and scale intelligent multi-agent systems that can autonomously perform complex reasoning, analysis, and decision-support tasks.
- Architect and optimize AI workflows that combine LLMs, tools, and retrieval mechanisms into reliable, explainable, and repeatable outcomes.
- Develop evaluation and control frameworks to ensure agent accuracy, traceability, and performance in dynamic enterprise settings.
- Collaborate closely with product, engineering, and customer teams to translate business problems into scalable AI capabilities.
- Continuously refine agent behavior and orchestration through experimentation, system-level tuning, and real-world feedback.
- 36 years of experience in applied AI, machine learning, or software systems engineering.
- Hands-on experience with LLM frameworks and agentic architectures (LangChain, LlamaIndex, AutoGen, or similar).
- Strong software fundamentals in Python, APIs, and data handling you can design systems, not just models.
- Deep curiosity about how AI can simulate reasoning, collaboration, and autonomy within real business ecosystems.
- Thrive in high-context, high-velocity environments where your work shapes the core intelligence of the company
Recommended Jobs
Solutions Architect (MLOps) - Digital Native Business
Posted 2 hours ago
Senior Data Scientist
Posted 2 hours ago
Senior Product Manager
Posted 2 hours ago
Staff Machine Learning Engineer - End to End Autonomy
Posted 2 hours ago
AI Data Engineering Manager
Posted 2 hours ago

