Senior Software Engineer: Agentic Workflow & Craftsmanship

Cambria•Remote-Minnesota, MN

3d•$100,000 - $150,000•Hybrid

About The Position

This position is responsible for orchestrating advanced, agentic workflows and engineering the surrounding quality infrastructure for enterprise-grade software. The role balances high-velocity startup execution with rigorous software craftsmanship, utilizing continuous refactoring, stacked architectures, and advanced testing methodologies to control non-deterministic AI outputs and systematically minimize the long-term cost of change.

Requirements

Substantial, proven experience architecting and maintaining production-grade enterprise software systems.
Deep understanding of complex integration surface areas, the long-term life cycle of architectural decisions, and designing for decade-long maintainability.
Hands-on, deep engagement with current-generation development agents (e.g., Claude Code, Codex, or equivalent tools) within the current calendar year.
Demonstrated experience moving past basic prompt engineering into building tools, pipelines, and stacked architectures to tighten developer feedback loops.
An empirical, evidence-based understanding of the current limitations, failure modes, and strengths of LLM-driven development.
Fluency in at least one mainstream programming language, with a demonstrated ability to learn and switch languages fluidly based on project needs.
Working depth with Git, CI/CD pipelines, containerization, and modern testing frameworks.
Startup Velocity: Thrives in a highly iterative environment ("build today, release tonight, refactor tomorrow").
Empirical Tinkering: A proactive investigator who utilizes continuous experimentation and strict metrics to discover technical truths.
High-Conviction, Low-Ego: Ability to confidently articulate and defend a complex technical viewpoint while remaining fully supportive of executing a peer’s differing strategy to high standards.
Tradeoff Fluency: Rejects simple "A > B" binaries, instead evaluating options through a lens of relative costs and alignment with core objectives (e.g., "Given goal Q, option A costs X and option B costs Y).
Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent professional experience).
Minimum of 10 years of professional software engineering/code-writing experience.
Proven track record working in both agile Startup environments and scaled Enterprise organizations.
Deep, hands-on proficiency with modern, cutting-edge AI tools and workflows (as of 2026).
Demonstrated commitment to continuous learning and staying current with rapid advancements in the AI space.

Responsibilities

Write production-grade code alongside advanced agents, engineer systems that orchestrate agentic workflows, and construct the surrounding quality machinery to ensure reliability under heavy enterprise loads.
Design and implement robust, stacked architectures that employ algorithmic guardrails to successfully bound and constrain stochastic LLM outputs.
Champion continuous refactoring, micro-modular design, and extreme code readability as standard daily practices to keep the long-term cost of change low.
Adapt 2020-era quality methodologies (e.g., TDD, real Devops, BDD, etc. ) to modern AI paradigms by implementing characterization testing, mutation testing, property-based testing, observability frameworks, and related.
Engage in heavy, direct technical collaboration with a peer group of senior engineers; actively participate in high-level trade-off debates while maintaining a strict "disagree and commit" shipping philosophy.