AI Engineer, Agents & Developer Pipeline
US client via staffing partner · Austin, TX (Remote)
- Location
- Austin, TX (Remote) · Remote
- Salary band
- Band not stated
- Type
- Contract
- Level
- Mid
- Work authorization
- Not stated
Stack
Python · LLM · LangChain · LangGraph · GitLab CI/CD · GitLab API · Agent Frameworks · ReAct · Multi-agent Orchestration · CI/CD · Linux · RAG · Vector Databases · Docker · Kubernetes · Rust · Go · Code Review Automation · Observability · Build Systems
About the role
Title— AI Engineer, Agents & Developer Pipeline Location- Austin, TX (Remote Job) Duration- 12+ Months (Possibility of extension) Job Description Required: - 3+ years of experience building production software, with hands-on experience building LLM-powered agents or tool-using systems - Strong proficiency in Python, plus experience with GitLab CI/CD (.gitlab-ci.yml, runners, pipelines, webhooks, GitLab API) - Practical experience with agent frameworks or patterns (function/tool calling, ReAct-style planning, multi-agent orchestration) — whether via LangChain, LangGraph, custom orchestration, or similar - Experience integrating LLMs into developer tooling (e.g., automated code review, CI failure triage, test generation) - Solid understanding of CI/CD concepts: build systems, artifact management, deployment gating, and pipeline security - Familiarity with Linux-based development environments and version control workflows - Strong engineering fundamentals: testing, code review, observability, and safe rollout practices for automated systems Preferred: - Experience building guardrails for autonomous systems (permissioning, sandboxing, human-in-the-loop approval flows) - Familiarity with self-hosted GitLab administration or GitLab Duo / other AI DevOps integrations - Experience with vector databases or retrieval-augmented generation (RAG) for codebase-aware agents - Background in release engineering or build systems for a Linux distribution or large open-source project - Experience with containerization and orchestration (Docker, Kubernetes) for running agent workloads in CI - Contributions to well-known open-source Linux or AI agent projects Nice to Have - Experience with evaluation frameworks for agent reliability and regression testing - Familiarity with Rust or Go for building performant pipeline tooling - Public speaking, blogging, or conference talks on AI agents, DevOps automation, or the Linux community
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