Senior AI Engineer - Enterprise Agentic-AI Solution

Avesta Computer Services • United State
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AI Summary

Design, build, and scale intelligent multi-agent systems. Collaborate with product, engineering, and customer teams. Develop evaluation and control frameworks.

Key Highlights
Design, build, and scale intelligent multi-agent systems
Collaborate with product, engineering, and customer teams
Develop evaluation and control frameworks
Technical Skills Required
Python LLM frameworks (LangChain, LlamaIndex, AutoGen) Agentic architectures
Benefits & Perks
H1 Sponsorship available
Full-time employment

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


H1 Sponsorship is available


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

  • 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.


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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