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About Us:
At Near, we help top talent in Latin America find remote roles with US companies. Our mission is to create better lives by fostering a remote work culture that transcends borders.
About Our Client:
Our client is an early-stage AI company building a platform that automates the creation of client deliverables for financial services teams. Their product runs on a multi-agent LLM pipeline and is used today by paying customers on live deals. Their bar: AI output that a senior professional would send to their own client.
About the Role:
Join our US client on their mission to deliver AI output that’s good enough for senior financial professionals to send to their own clients. They are looking for a hands-on VP of Engineering to own engineering and product quality end to end, reporting directly to the CEO.
This is a player-coach role. You will write code most weeks, lead a small distributed engineering team and grow it as the company scales. The ideal profile is half analyst, half developer, with a product manager’s judgment: someone who looks at generated output and asks whether a customer would actually send it. You will shape the engineering team, the architecture and how the product gets built.
Note: This is a remote, contractor role.
Key Responsibilities:
Turn customer needs into clear, scoped engineering work, starting from short briefs that define who it is for, why it matters and what it should do.
Advise the CEO on product priorities and push back on work that does not serve customers.
Own the quality bar for every release, backing changes with before-and-after evidence across a range of real deliverables.
Build evals, QA agents and automated checks that catch defects before customers do.
Own the agent architecture: orchestration, skills, model upgrades without regressions, and cost per deliverable.
Run sprints, releases and production issues end to end.
Write production code on a regular basis, mainly in Python and across a React frontend.
Maintain security and compliance commitments to enterprise financial services customers.
Lead, coach and hire engineers as the team grows.
Join customer conversations when the engineering answer matters.
What We’re Looking For:
Proven experience leading engineering for a customer-facing product at an early-stage company, while still writing production code.
Strong Python skills and comfort working across a React frontend.
Hands-on production experience with LLM and multi-agent systems, including output quality, prompt and skill design, evals and cost at scale.
A habit of inspecting real work product yourself instead of relying on dashboards and standups.
Customer-first product judgment, with examples of product calls you made based on customer feedback.
Ability to flag timeline and production risks early, disagree candidly, then commit and execute.
Clear written communication: briefs, release notes and updates that need no follow-up questions.
Availability to work with solid overlap with US Eastern time.
Advanced English level.
Nice to have:
Experience in financial services, consulting or another role where you built client deliverables yourself.
Experience with document generation.
Hands-on work with agent frameworks and the Model Context Protocol (MCP).
Experience supporting enterprise customers through security reviews, SSO and SOC 2.
Experience mentoring earlier-career engineers and introducing light process to a team that had none.
Perks – What’s in It for You?
Competitive compensation in US dollars.
Equity options, based on profile and seniority.
Flexible PTO.
Local holidays based on your country’s calendar.
Flexible working hours and a low-meeting culture.
High autonomy and ownership from the ground floor: shape the team, the architecture and the product.
Career growth as the company expands into new workflows.
Direct work with a founder who comes from the industry, with fast, direct decision-making.