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Full Stack AI Engineer

posted by: spj_bot

Location: Remote - If based in NYC, will require office presence 2/3 days a week, for LATAM and European regions will be expected to work EST hours with a 5 hour overlap.

Remote/Hybrid | Full-time

Compensation: $140K - $200K

We are hiring on behalf of our client, an innovative technology firm who is seeking an experienced Full-Stack AI Engineer to join a growing, AI-focused engineering team. The client develops advanced intelligence and analytics solutions designed to help participants in digital asset markets make more informed decisions by combining financial data, automation, and modern AI technologies to transform complex information into actionable insights.

In this role, the successful candidate will work closely with product, research, and engineering leadership to develop next-generation, AI-powered financial applications. This is a highly collaborative position that requires strong ownership, technical depth, and the ability to move quickly from concept to production.

Key Responsibilities

Full-Stack Product Development

Job Skills

web platform operationalization professional datasets real time system reliability automation javascript embedding decision make security policy performance tuning system design data integration operate research scalable advanced search semantic communication node js maintainability financial datum emerge technology backend developing applications workflow systems cross functional collaboration high performance latin information retrieval financial technology interactive architectures model work environment python finance user interface collaborate software engineering managed securely search technology best practices digital asset analytics workflows programming machine learn system performance friendly automated market datum profiling innovative language model data sources scalability real time financial service design tool collaborative infrastructure solution design react typescript applicable data e integrate design systems data pipelines operating relational database product development agent architecture manage track
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