Agentic Engineer

Bonfirevc; Denver (CO); On-site; USD 120,000 - 150,000; Full time

Job summary

Drive Capital is looking for an Agentic Engineer in Denver, Colorado. This role is centered around directing AI coding agents, enhancing payment infrastructure, and ensuring compliance and security.

Applicants should have strong engineering fundamentals and hands-on experience with agent-based coding. Responsibilities include breaking down technical tasks and leading multiple AI agents to deliver robust software. Join us to influence the future of payments.

Qualifications

• 5+ years building production software in a modern language.
• Experience with tools like Claude Code or Cursor agent mode.
• Fluent in testing strategy and making correctness machine-checkable.
• Strong ability to review code, including code authored by others.

Responsibilities

• Turn product and technical intent into precise specs agents can execute.
• Break features and bugs into agent-sized tasks for optimal processing.
• Direct multiple agents in parallel across various tasks.
• Build tests that allow agents to self-correct, ensuring compliance and security.
• Review agent outputs critically for correctness and performance.

Skills

Strong engineering fundamentals

Hands-on agentic experience

Specification and decomposition

Verification mindset

High-rigor review

At home with non-determinism

Communication and teamwork

Education

Understanding of CS fundamentals (data structures, algorithms)

Tools

AWS

GCP

Azure

.NET (C#)

TypeScript

PostgreSQL

Job description

About the Role

Want to be at the frontier of how the products of tomorrow get built? We're hiring an Agentic Engineer who builds by directing AI coding agents, and owns the outcome.

Straddle is building the rails for the next era of payments, with the goal of moving money as fast as data moves. You'll help build that platform a level up from traditional coding: turning ambiguous problems into precise specs, breaking them into agent-sized tasks, running several coding agents in parallel, and reviewing what they ship with a high bar. You'll write code by hand when that's the faster path, and delegate the rest. Because this is the infrastructure money runs on, security and correctness are never optional, and the bar you hold on agent output is what keeps it that way. You'll also help shape how Straddle builds with agents: the standards and tooling the rest of engineering will run on.

Key Responsibilities

• Spec before you build. Turn product and technical intent into precise specs agents can execute: clear interfaces, scope, and acceptance criteria. This is the highest-leverage part of the job.

• Decompose for agents. Break features, migrations, and bugs into agent-sized tasks. Knowing what's too big for one pass, and how to slice it, is the craft.

• Direct and orchestrate. Run multiple agents in parallel across features, integrations, and backlog. Keep them unblocked, correct course early, reset when a session drifts.

• Own verification. Build the tests, builds, and checks that let agents self-correct. On payment and compliance paths, if you can't verify it, it doesn't ship.

• Review at volume. Read agent diffs critically for correctness, security, performance, and fit. You own the merge, the deploy, and the consequences.

• Improve the system. Maintain the shared context agents rely on (project memory, skills, hooks, integrations, CI) so everyone's agents get better. Treat specs and agent config as version-controlled engineering.

• Security and compliance. Apply security best practices to agent-generated code: authn/authz, encryption, common‑vulnerability defense, and fintech controls (PCI, SOC 2).

• Set the standard. Establish conventions and coach the team on specification, verification, and reviewing code they didn't write by hand.

Required Qualifications

• Strong engineering fundamentals. 5+ years building production software in a modern language, with the judgment to tell solid design from fragile design. That judgment is what makes directing and reviewing agents effective.

• Hands‑on agentic experience. You've shipped real work with tools like Claude Code or Cursor agent mode, well beyond autocomplete.

• Specification and decomposition. You break down hard problems and write them down precisely.

• Verification mindset. Fluent in testing strategy and making correctness machine‑checkable, with sharp debugging and root‑cause skills.

• High‑rigor review. You review fast and well, including code you didn't author, without dropping the bar.

• At home with non‑determinism. You evaluate output quality instead of assuming it.

• Communication and teamwork. Strong writer, collaborates well with product, design, and data science.

Preferred Qualifications

• Computer science foundations. A real understanding of CS fundamentals (data structures, algorithms, complexity). No specific degree required.

• Fintech or payments. Payment processing, banking software, ledgers, ACH, or software compliance.

• Agent tooling or evals. You've built internal tooling, eval harnesses, prompts, skills, or CI that made a team better with AI.

• Our stack. Less important than your judgment, as long as you're comfortable reviewing it as agent output: .NET (C#), TypeScript, and PostgreSQL, with solid architecture instincts (CQRS, Clean Architecture, DDD, SOLID).

• Cloud. AWS, GCP, or Azure, architected for scale and reliability.

• Leadership. You've led projects or helped a team adopt a new way of working.