Senior Full-Stack Engineer

Worldwide | Sept. 1, 2026

Report as Closed

Company: Vequity

Country: Worldwide

Salary: $36,000 - $60,000

Type: Remote

Employment: Full-time

Description: Vequity is building the world’s most robust, contextualized buyer intelligence network for investment banks, private equity firms, and strategic acquirers.

Vequity is building the world’s most robust, contextualized buyer intelligence network for investment banks, private equity firms, and strategic acquirers. Our platform currently houses over 1.5 million buyer profiles with approximately 100 structured and inferred data fields per profile. We leverage proprietary AI agents to continuously enrich, infer, and structure buyer intelligence at scale. As a Senior Data Engineer, you will own the architecture, quality, and scalability of our data ecosystem—from ingestion and cleaning to inference and output generation. You will partner with AI, product, and engineering teams to deliver data APIs and feeds that power our platform's decision-support capabilities. Your work will directly impact data reliability, operational efficiency, and the precision of buyer attributes used across our customers.

• 5+ years building production software, with real production experience in Angular, C#/.NET, and Python — depth in at least two of the three.
• At least one feature or product area you owned from requirements through production, which you can walk through in detail.
• Production experience with a relational database (we use PostgreSQL) including schema design and query performance.
• Comfortable defining and writing requirements yourself, in English, for a technical and non-technical audience.
• Working proficiency with AI coding tools as part of your daily workflow.

Vequity builds an M&A deal-sourcing platform. We aggregate + resolve data on millions of companies so acquirers can find targets that never make it to a broker. The backend is .NET 10 / EF Core / PostgreSQL, the frontend is Angular, and Python powers our data and LLM-automation pipelines. Temporal is used long-running workflows. LLM-driven agents used for entity resolution, enrichment, etc among other tasks.

Why Vequity?

Ownership here is reality. The team is small enough that every engineer owns a domain outright. Your backlog is yours, your roadmap input goes straight to the founders, and nobody sits between you and the decision. The flip side is accountability: what ships in your area is yours too.

You'll work at the frontier of LLM engineering, not on the sidelines of it. Our agents do entity resolution, enrichment, and research automation in production, and we evaluate and iterate on them like any other system — with harnesses, gold datasets, and bake-offs across models.

You will own features end-to-end across the full stack: Angular UI, .NET APIs and data models, and Python automation where your area touches our LLM pipelines.

One thing is non-negotiable. You must own the business requirements for your area and proactively maintain its product backlog. We will give you acceptance criteria, but you are expected to know your domain well enough to spot the gaps, propose the next features, and keep your backlog groomed without being asked. If you want fully-specified tickets handed to you, this role is not a fit.

A routine week: you ship a feature across Angular, .NET, and Python; you write or sharpen the acceptance criteria for the next one; you prune and reprioritize your backlog based on what shipping just taught you; you flag the requirement that no longer makes sense before anyone builds against it.

Success is measured on two axes: features shipped working in production, and the health of your backlog — whether the next most valuable thing in your area is already defined when it's time to build it.

We pay competitively for the LATAM market and we’re transparent about it.

• Time off: Manage your own schedule. We trust you.
• Health: $150/month health and wellness stipend.
• Engagement: B2B contract. 30-day mutual notice.

How we work

• Fully remote. We are based in Denver, Colorado (MT, UTC-7). You can work from Colombia, Argentina, Brazil, Chile, or anywhere in the Americas with strong overlap.
• Same time zone. We expect significant daily overlap with Central Standard Time (CT). LATAM time zones are ideal — this is a key reason we’re hiring in the region.
• Async-first. We write things down. Docs, Loom videos, and thoughtful PR descriptions are the norm. Meetings happen when they’re the fastest path to clarity, not by default.
• Small team, direct access. You will work directly with the Head of Engineering and the founder. No middle management. Your work ships fast.

• EF Core, Temporal (or similar workflow engines), or Google Cloud.
• Building on LLM APIs: extraction pipelines, agents, or evaluation harnesses.
• Experience in fintech, M&A, or other data-heavy B2B domains.
• Prior startup experience where you were the only owner of an area.

Apply here:

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