Why This Role Stands Out
This AI Engineer role offers a fantastic opportunity to shape the future of software development by building cutting-edge LLM-powered agents, with the flexibility of a hybrid work model in Austin. If you have a strong Python background and experience with AI agent development and CI/CD pipelines, you'll thrive in this impactful position at Kasmo Inc.
Quick Overview
Job Description
Job Title: AI Engineer – Agents & Developer Pipeline
Location: Austin, TX
Duration: Long-Term
Job Description
We are looking for an experienced AI Engineer to build and deploy LLM-powered agents that automate software development workflows and improve engineering productivity.
The ideal candidate will have strong Python development skills, hands-on experience building production AI agents, and expertise integrating AI-powered automation with GitLab CI/CD pipelines.
Responsibilities
Build autonomous and semi-autonomous AI agents to automate software development workflows.
Develop agents for GitLab issue triage, merge request reviews, CI failure analysis, test generation, and developer productivity.
Implement agent workflows using tool calling, retrieval, and multi-step planning across codebases and CI logs.
Integrate AI agents with GitLab APIs, webhooks, runners, and CI/CD pipelines.
Implement security guardrails, sandboxing, permission controls, approval gates, and rollback mechanisms.
Build logging, tracing, evaluation, and observability capabilities for AI agents.
Evaluate agent performance using real merge requests and pipeline runs.
Develop internal APIs, SDKs, and reusable agent tooling.
Required Skills
3+ years of production software development experience.
Strong Python programming skills.
Hands-on experience building and deploying production LLM-powered agents.
Experience with LangChain, LangGraph, ReAct, or custom agent orchestration frameworks.
Strong knowledge of GitLab CI/CD, GitLab Runners, APIs, webhooks, and pipeline workflows.
Experience with AI-powered developer tools such as automated code review, CI failure triage, and test generation.
Strong understanding of CI/CD fundamentals, Linux, Git, and software engineering practices.
Preferred Qualifications
Experience implementing AI agent guardrails, sandboxing, and human-in-the-loop approval workflows.
Familiarity with GitLab administration or GitLab Duo.
Experience with RAG, vector databases, and retrieval-based systems.
Knowledge of Docker, Kubernetes, and Linux build or release systems.
Experience with agent evaluation, regression testing, and observability.
Familiarity with Go or Rust.
Contributions to open-source projects or technical publications.
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