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# AI Agent Developer - Remote

- **Company:** Gandiva Insights
- **Location:** Houston, TX, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, User Authentication, Microsoft Azure, Software Debugging, Python (Programming Language), OAuth, Performance Tuning, Role-Based Access Control, OpenAI, JSON Web Token, Microsoft Agent Framework, Large Language Models, Multi-Agent Systems, Prompt Engineering, Agentic-AI, Git, Fastapi, AI Platforms, Integration Tests, Virtual Agents, Invoking Functions, Model Context Protocol, Api Management, Docker
- **Published:** October 16, 2026
- **Apply:** https://www.careerjet.com/jobad/us09937671a0c526722657a6a151a0bb4c

## About the Role

Strong Python development experience with FastAPI or similar frameworks.
Hands-on experience building LLM-powered AI agents using LangChain, Microsoft Agent Framework, or similar tools.
Expertise in prompt engineering, function calling, and tool orchestration.
Working knowledge of MCP (Model Context Protocol) and API integrations.
Experience with Azure OpenAI or AWS Bedrock.
Knowledge of Docker, Git, OAuth2, JWT, or enterprise authentication.
Experience with AI agent evaluation, testing, and debugging.
Preferred Skills:
Open Policy Agent (OPA), Rego, and role-based access control.
Multi-agent orchestration and enterprise AI platform development.
Experience working in large-scale or regulated environments.

## Description

We are looking for a Specialized AI Agent Developer to design, develop, and optimize enterprise AI agents within the SmartAssist platform. The role focuses on prompt engineering, agent orchestration, tool integration, and reliable execution of multi-step tasks in a secure enterprise environment., Develop and configure specialized AI agents using Python and agent frameworks.
Design system prompts, instructions, and coordinator workflows for reliable tool calling and task execution.
Integrate agents with MCP tools, APIs, Skills Registry, and enterprise LLM platforms.
Implement agent evaluations, integration testing, and performance optimization.
Ensure security, role-based access control, prompt-injection resistance, and policy compliance.
Optimize context and token usage for efficient agent execution.
Troubleshoot agent behavior and document technical designs and solutions.