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# AI Software Engineer - Agentic AI

- **Company:** THOMBARA SOLUTIONS LLC
- **Location:** Plano, TX, United States
- **Experience:** Experienced
- **Salary:** $99,840.0 - $120,640.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Cloud Computing, Computer Programming, Databases, Continuous Integration, Python (Programming Language), Machine Learning, Node.Js, Search Technologies, Software Engineering, Workflow Management Systems, Data Logging, Large Language Models, Prompt Engineering, Generative AI, Backend, Git, Kubernetes, Virtual Agents, Api Design, Microservices
- **Published:** July 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4443b2357ab0fb43

## About the Role

* 5-7 years of software development experience.
 * 2+ years of experience with AI, machine learning, generative AI, or LLM applications.
 * Strong programming skills in Python.
 * Experience with at least one backend technology such as Java, Go, or Node.js.
 * Experience building APIs, microservices, and cloud-based applications.
 * Familiarity with LLM development, prompt engineering, tool calling, and agent workflows.
 * Experience with software testing, Git, CI/CD, and production support.
 * Good communication and problem-solving skills., * Experience building AI agents or agentic workflows.
 * Familiarity with RAG, embeddings, vector databases, and semantic search.
 * Experience with LLM evaluation, monitoring, and observability.
 * Knowledge of cloud platforms, containers, and Kubernetes.
 * Experience working with enterprise security or governance requirements.

## Description

* Develop AI agents and multi-step workflows using LLMs, tool calling, and orchestration frameworks.
 * Integrate agents with APIs, databases, internal systems, and workflow tools.
 * Build RAG solutions using trusted enterprise data sources.
 * Implement agent evaluation, monitoring, logging, and performance improvements.
 * Develop reusable components, services, and APIs for AI applications.
 * Support testing, CI/CD, deployment, troubleshooting, and production reliability.
 * Apply security, privacy, access-control, and responsible-AI practices.
 * Collaborate with product, architecture, data, and security teams.


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