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Software Engineer – Retail Investing Platforms (Paid Expert Interview)

Mercor Contract, part-time 7 openings Posted 6 days ago Closed United States only

Role details

Mercor is seeking experienced software engineers at companies that serve retail investors for a short, paid expert interview on behalf of a leading AI company building financial intelligence products. In a single 45–60 minute conversation, you will share how engineering teams like yours evaluate, choose, and integrate third-party APIs and AI vendors. This is a good fit for backend, integrations, or platform engineers (or hands-on tech leads and engineering managers) at online brokerages, investing apps, robo-advisors, neobanks with investing, wealth platforms, or brokerage infrastructure providers.


What You'll Do

  • Join one 45–60 minute remote interview at a time that works for you.

  • Walk through how your team evaluated or shortlisted an outside API or AI vendor (e.g. market data, news/research, identity, or AI chat), and what drove the final decision.

  • Share what made integrations go well or badly: documentation, reliability, pricing, security and compliance review, and support.

  • Give candid feedback on what you would want from vendors serving retail-investing products.

Please share only your own experience and opinions. You will not be asked for confidential or proprietary information about your employer.


Requirements

  • Currently employed in-house (not freelancing or consulting) as a software engineer, backend or integrations engineer, platform engineer, tech lead, or engineering manager who is still hands-on.

  • Work at a company that reaches retail investors, such as an online brokerage, investing app, robo-advisor, neobank with investing, wealth platform, or brokerage infrastructure provider.

  • Work on the retail product side, not institutional, hedge fund, or asset management desks.

  • Evaluated or integrated a third-party API or AI vendor in the past 12 months (or will soon).

  • Involved in choosing the vendor (helped evaluate or shortlist), not only building it after the decision was made.

  • Based in the United States.


Nice to Have

  • Integrated market data, news, research, or AI chat features.

  • Experience across different company sizes or seniority levels.


Why Join?

  • Paid for your time, with a flexible, one-time commitment that fits alongside your current role.

  • Share your perspective to help shape AI and data products built for retail investors.

From the Mercor posting.

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We read this listing on Mercor on 23 Oct 2026 and checked it again on 25 Oct 2026. We clean its formatting for readability and safety. View on Mercor