AI Process Engineer: Orchestrate Agent Workflows

Relha LLC; United States; On-site; USD 152,000 - 202,000; Full time

Job summary

Relha LLC seeks a senior software/AI engineer to identify, deconstruct, and re-implement high-value manual processes using AI agents, LLMs, and modern automation. You own the full arc from discovery to production orchestration with human oversight.

Responsibilities include process discovery, tool replacement, agent workflow design, evaluation frameworks, and confidence-gated escalation. The role demands strong systems thinking and experience with AI agent orchestration in regulated environments.

Qualifications

• Minimum 5 years of software/AI engineering experience with at least 2 years building LLM-based or agent-based systems.
• Proven ability to extract tacit knowledge from domain experts (process mining, cognitive task analysis, or equivalent).
• Experience designing and deploying AI agent orchestration (multi-step, tool-using, with evaluation).
• Strong systems thinking — can model a process end-to-end before writing a line of code.

Responsibilities

• Embed with domain experts to observe and document actual workflows.
• Audit legacy/bespoke tooling — identify what they do vs. what people think they do.
• Architect multi-step AI agent workflows that decompose complex expert tasks into verifiable stages.
• Define tool-use patterns, context management, and failure/fallback strategies for agents.
• Build calibration mechanisms so human reviewers stay sharp (not rubber-stamping).

Skills

Systems thinking

Decomposition

Diplomatic persistence

Healthy skepticism

Process mining

Education

Bachelor’s degree from an accredited university or college

Tools

LLM pipelines

Vision models

Structured extraction

Agent orchestration

Job description

Relha LLC seeks a senior software/AI engineer to identify, deconstruct, and re-implement high-value manual processes using AI agents, LLMs, and modern automation. You own the full arc from discovery to production orchestration with human oversight.

Responsibilities include process discovery, tool replacement, agent workflow design, evaluation frameworks, and confidence-gated escalation. The role demands strong systems thinking and experience with AI agent orchestration in regulated environments.