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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level generalist title, 5+ experience, and broad AI/cloud/fintech requirements increase candidate competition.
Fintech compliance and AI specialization increase industry specificity despite transferable fullstack and cloud skills.
Explicit 5+ years plus mandatory AI/fintech, security, MLOps, and leadership requirements enforce strict filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate core distributed cloud-based financial platform services including AI-powered features such as anomaly detection and pricing optimization.
Translate complex requirements into scalable, maintainable code and ensure platform reliability through testing, observability, and on-call production support.
Mentor junior engineers and influence component-level architecture and engineering standards including AI safety and data governance.
Minimum Requirements
Bachelor's degree in Computer Science or equivalent experience.
5+ years of relevant professional experience or equivalent combination of education and work experience.
Proven experience shipping AI-enabled features in production (e.g., anomaly detection, forecasting, LLM-powered experiences) with MLOps practices.
Proficiency in modern programming frameworks/languages (e.g., Java) and familiarity with version control (Git) and CI/CD DevOps practices.
Ideal Candidate Profile
Experience leading projects end-to-end from architecture to production while setting high engineering standards and mentoring teams.
Strong domain expertise in cloud-based financial platforms, distributed systems, fintech security, or front-end development.
Hands-on experience integrating advanced AI/ML models (LLMs, RAG pipelines) into production financial systems with a focus on AI safety and compliance.
