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# Agentic AI Software Engineer

- **Company:** Harnham Inc.
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Logic, Databases, Continuous Integration, Extract Transform Load (ETL), Software Engineering, Systems Integration, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Backend, Agentic-AI, Build Management, Information Technology, Front End Software Development, Virtual Agents, Data Pipelines, Databricks
- **Published:** November 2, 2026
- **Apply:** https://www.careerjet.com/job/us0fb2a0b406d0a77d88cc1927d391719c/eaa

## About the Role

* Bachelor's degree in computer science, Software Engineering, or a related field
 * 8+ years building production grade software, including recent, dedicated experience building AI agents and agentic workflows
 * Experience with LLMs, RAG, tool calling, or agent orchestration frameworks
 * Full stack development experience, including APIs, backend services, and frontend applications
 * Experience designing agent memory, context, retrieval, or evaluation systems

## Description

You'll design and build AI agents that reason across complex workflows, interact with enterprise tools and systems, and take action on behalf of users. This includes intelligent support agents that understand user intent, retrieve information, and resolve or escalate requests, along with the applications, data pipelines, and infrastructure that support them.
What You'll Do
Agent Development

 * Design and build AI agents and agentic workflows combining LLMs, APIs, RAG, and business logic
 * Build secure integrations with enterprise applications, databases, and knowledge sources
 * Develop agent memory, context, guardrails, and evaluation frameworks for reliable production use

Application Development

 * Build user facing applications and backend services that power AI agent experiences
 * Own features end to end, from backend and AI orchestration through frontend experience
 * Ensure applications and agentic systems are scalable, secure, and enterprise ready

Data & Infrastructure

 * Build data pipelines, ETL workflows, and integrations with the Databricks Lakehouse platform
 * Build RAG pipelines enabling agents to retrieve and reason over enterprise data
 * Implement CI/CD, testing, observability, and monitoring across AI and application systems