AI Agentic Systems Engineer - Production-scale Automation

Terram Lab Corporation dba Terramtech; Phoenix (AZ); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Early-stage equity

Job summary

Terramtech is seeking an Applied AI Engineer — Agentic Systems in hybrid Phoenix, AZ to design, build, and deploy production-grade AI agents that automate complex scientific, regulatory, manufacturing, and commercial workflows.

You’ll work with scientists, engineers, and executives to translate manual tasks into intelligent, reliable, explainable agentic systems while ensuring guardrails, transparency, and auditability in a scalable AI platform.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, AI, or equivalent.
• 5+ years of professional software engineering experience building production software.
• Expert-level proficiency in one or more modern general-purpose languages (Python/TypeScript).
• Experience building production systems with REST APIs, asynchronous/event-driven processing, relational databases, queues, and cloud infrastructure (AWS).
• Demonstrated experience building and shipping production AI agents / LLM-powered applications.
• Hands-on experience across the modern agent toolchain — agent frameworks, LLM inference, tool use, and multi-agent orchestration.
• Design Retrieval-Augmented Generation (RAG) systems: embeddings, chunking, retrieval optimization, and context engineering.
• Strong prompt engineering and evaluation methodology — labeled eval sets, offline eval, regression gating.
• Experience productionizing LLM systems: guardrails, human-in-the-loop, observability, reproducibility.
• Strong software engineering fundamentals: version control, testing, debugging, documentation, maintainable architecture.
• Excellent communication skills across technical and non-technical teams.

Responsibilities

• Design and develop autonomous and semi-autonomous AI agents supporting research, manufacturing, regulatory, quality, commercial, and corporate operations.
• Architect multi-agent workflows using planning, memory, retrieval, orchestration, and tool use for each business process.
• Develop production-quality software integrating large language models with internal applications, APIs, laboratory systems, ERP platforms, and databases.
• Build reusable AI services and infrastructure for scalable enterprise deployment.
• Monitor and improve AI system performance, reliability, and cost.

Skills

Python

TypeScript

REST APIs

Cloud (AWS)

LLM / AI agents

Education

Bachelor’s degree in CS/SE/AI

Tools

LangGraph

AWS Bedrock

Claude

Model Context Protocol

Kubernetes

Job description

Terramtech is seeking an Applied AI Engineer — Agentic Systems in hybrid Phoenix, AZ to design, build, and deploy production-grade AI agents that automate complex scientific, regulatory, manufacturing, and commercial workflows.

You’ll work with scientists, engineers, and executives to translate manual tasks into intelligent, reliable, explainable agentic systems while ensuring guardrails, transparency, and auditability in a scalable AI platform.