Frontier Engineer

Job Description

Job Details

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• Position: Frontier Engineer
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• Location: Phoenix, AZ (Hybrid)
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• Experience: 7+ years preferred in the job title; the JD specifies 3–10 years of technical delivery experience
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• Work Arrangement: Hybrid; local candidates are preferred, but relocation candidates will be considered
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Job Description

The Frontier Engineer is a hands-on builder responsible for developing, deploying, and operating AI-native systems end to end within a small, 1–3-person engineering pod. The role focuses on leveraging agentic AI, AI coding tools, prompt engineering, and full-stack development to deliver measurable customer outcomes.

Key Responsibilities

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• Orchestrate multi-agent coding pipelines and integrate AI-generated outputs into production environments.
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• Develop prompts and specifications for AI coding agents and validate generated code for quality and correctness.
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• Design and build RAG pipelines, vector stores, and knowledge bases.
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• Deploy and operate LLMs and AI agents in production, monitoring performance and implementing safety guardrails.
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• Build AI-enabled workflows and applications using enterprise AI platforms and automation tools.
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• Automate L1/L2 operations using AIOps tools and intelligent incident routing.
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Required Skills

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• Agentic AI and multi-agent orchestration using frameworks such as LangChain, AutoGen, or LangGraph.
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• Prompt engineering and intent specification.
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• AI-generated code validation and quality assurance.
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• RAG pipelines, vector databases, and knowledge management.
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• LLMOps, model lifecycle management, and guardrails.
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• AIOps, observability, and CI/CD for AI systems.
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• Strong full-stack engineering and end-to-end delivery capabilities.
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The hiring process includes a Frontier CoE assessment covering full-stack delivery, infrastructure, cloud, production, domain knowledge, and AI foundations, followed by a four-week build bootcamp.