AI Engineer

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 to ensure agent accuracy and performance.

Key Highlights
Design and build intelligent multi-agent systems
Collaborate with cross-functional teams
Develop evaluation and control frameworks
Key Responsibilities
Design, build, and scale intelligent multi-agent systems
Architect and optimize AI workflows
Develop evaluation and control frameworks
Collaborate with product, engineering, and customer teams
Technical Skills Required
Python APIs Data handling LLM frameworks 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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