Engineer III - AI

Frost Bank•San Antonio, TX

About The Position

Frost is seeking an Engineer III - AI to design intelligent systems and workflows using agentic behavior and LLM decision-making. The role leads technical efforts related to AI reliability, bias mitigation, and drift detection, and helps address complex problems through thoughtful system design and effective communication. The engineer collaborates with product and design leaders to define outcomes and performance metrics, evaluates agent behavior for fairness, reliability, explainability, and safety, and optimizes agentic systems. The position also mentors engineers in LLM prompting, agent decomposition, and tool design, while acting as a system designer and workflow architect rather than solely as a code implementer. The work is guided by Frost’s values of Integrity, Caring, and Excellence.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, or a related field.
  • 4+ years of experience with enterprise-grade AI/ML systems.
  • Deep understanding of event-driven design, API orchestration, prompt engineering, tool orchestration, planner/verifier roles, and system modularity.
  • Strong skills in prompt engineering, memory and context handling, and agent loop optimization.
  • Experience leading teams in applying LLMs and autonomous agents to real-world problems.
  • Strong experience with Python, FastAPI, LangChain, vector databases, and agent loop architectures.
  • Excellent written and verbal communication skills.
  • Proficiency in Microsoft computer applications.

Nice To Haves

  • Experience creating reusable agent libraries or co-pilots.
  • Open-source contributions to AI frameworks or tooling.
  • Experience with tools like LangGraph, CrewAI, or Autogen.

Responsibilities

  • Design and architect intelligent systems and workflows that leverage agentic behavior and LLM decision-making capabilities.
  • Drive design sessions for agent loop architectures, tool orchestration, and task planning.
  • Lead technical efforts on AI reliability, bias mitigation, and drift detection.
  • Collaborate with product and design leaders to define outcomes and performance metrics.
  • Act as a system designer and workflow architect, not just a code implementer.
  • Evaluate agent behavior using AI principles such as fairness, reliability, explainability, and safety.
  • Optimize performance of agentic systems with caching, throttling, and fallback strategies.
  • Mentor engineers in best practices for LLM prompting, agent decomposition, and tool design.
  • Take action using Integrity, Caring, and Excellence to achieve all-win outcomes.

Benefits

  • Medical, dental, vision, long-term disability, and life insurance.
  • 401(k) matching.
  • Generous holiday and paid time off schedule.
  • Tuition reimbursement.
  • Extensive health and wellness programs, including an Employee Assistance Program.
  • Referral bonus program.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service