Design, build, and scale intelligent multi-agent systems. Collaborate with product, engineering, and customer teams. Develop evaluation and control frameworks to ensure agent accuracy and performance.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
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
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As an AI Engineer, you’ll 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. You’ll 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 You’ll Do
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- 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.
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Who You Are
- 3–6 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
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