Agentic Software Engineer

Agentic Software Engineer

Full-Stack · AI-Native · Remote / Nearshore

Hiring across USA & LATAM

Remote · 5+ Years Experience · English Required · T&M Contract

The Role

Software engineering is changing faster than at any point in the last 30 years. The next generation of engineers won't be measured by how many lines of code they write — they'll be measured by how much value they can ship, how fast, and how reliably.

We're looking for an Agentic Software Engineer: someone who has fully embraced AI agents as their primary development instrument. Not a prompt engineer. Not a low-code operator. A real engineer who has mastered tools like Cursor and Claude Code deeply enough to use them as force multipliers — and who can move from a blank board to a production-grade product in days, not months.

You'll work on products where AI is both the tool and the subject. You'll architect systems that ingest data from multiple platforms, design the data models that make them meaningful, and ship features end-to-end orchestrating tools like Cursor, Claude Code, and GitHub Copilot to do it faster than any traditional team could.

This is not a support role. This is a builder role.

What You'll Actually Do

• Architect and ship full-stack features end-to-end — from database schema through backend API to frontend UI — using AI agents to accelerate every layer without sacrificing quality or control.
• Orchestrate AI coding agents (Cursor, Claude Code, and equivalents) to generate, refactor, test, and document code. You direct the agents; you own the output.
• Design cloud-native systems on platforms like GCP, AWS, or Azure — event-driven architectures, serverless functions, managed databases, CI/CD pipelines — with a strong opinion on what belongs where and why.
• Define and uphold engineering quality by reviewing AI-generated code the same way a senior engineer reviews a junior's PR: with expertise, precision, and accountability.
• Collaborate closely with clients and stakeholders, translating ambiguous business goals into clean technical requirements and delivering working software that earns trust.
• Work autonomously in fast-moving environments, managing your own delivery cadence using project management tools and asynchronous communication across time zones.
• Contribute to the team's AI craft — sharing techniques, prompts, agent workflows, and architectural patterns that make everyone around you faster.

The Technical Bar

You'll be expected to hold your own across the full stack. You don't need to be a specialist in every layer, but you must understand each one well enough to guide an AI agent to produce production-quality output in it.

Must-Haves

• 5+ years of software engineering experience, with real products shipped to production.
• Expert-level mastery of AI coding agents — you live inside Cursor or Claude Code, you know their limits, and you know how to push past them. This is not optional and not negotiable.
• Hands-on experience integrating LLMs into applications — API calls, prompt design, agent tooling, or building AI-powered features in production (e.g., ADK, LangChain, LangGraph)
• Strong command of at least one modern full-stack pairing (e.g., Next.js + Node.js, React + Python/FastAPI, Vue + Go).
• Hands-on experience with relational databases - schema design, query optimization, migrations (PostgreSQL preferred).
• Solid understanding of REST API design, auth patterns (OAuth2, JWT, session management), and security fundamentals.
• Experience with cloud infrastructure - you've deployed to GCP, AWS, or Azure and understand how the pieces fit together.
• Familiarity with CI/CD pipelines, Git workflows, and modern DevOps practices.
• Genuine passion for technology and a relentless drive to stay current — you follow new tools, models, and frameworks as they drop, you experiment before you're asked to, and you bring what you learn back to the team.

Strong Advantages

• Degree in Computer Science, Computer Engineering, Statistics, or similar.
• Experience with event-driven architectures (pub/sub, webhooks, async processing)
• Python and/or Node fluency
• ORM experience (Drizzle, Prisma, SQLAlchemy, or equivalent)
• Infrastructure-as-code exposure (Terraform, Pulumi)

The Human Bar

Technical skill is necessary. It's not sufficient. The engineers who thrive here are the ones who can do all of the above and communicate with the clarity and confidence of a consultant. You'll be interfacing with clients, product stakeholders, and cross-functional teammates — often in English, often in writing, always with accountability.

• Exceptional written and verbal communication in English — you can explain a technical decision to a non-technical client without making them feel talked down to, and explain a business constraint to an engineer without losing the nuance.
• Consulting instincts — you ask the right questions before writing the first line of code (or the first agent prompt), and you know that the best solution is often the simplest one that actually fits the problem.
• Client maturity — you can run a stakeholder update, manage expectations under uncertainty, and communicate bad news constructively.
• Self-direction — you don't wait to be told what to do next; you identify what matters most, communicate it, and act.
• Intellectual honesty — you know the difference between