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Tier-1 brand, metro, early-mid generalist role with broad fullstack plus ML requirements.
Requires fullstack, cloud, and LLM skills transferable across industries despite financial services focus.
Explicit 3+ years requirement plus mandatory fullstack, cloud, and LLM engineering skills.
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Develop custom software tools deployed within client organizations in financial services.
Design and architect full stack solutions including back-end, front-end, and visualization components with a focus on scalability and robustness.
Collaborate cross-functionally with engineers, data scientists, and business experts to deliver impactful, reliable, and reusable software solutions incorporating Generative AI technologies.
Bachelor’s or master’s degree in Computer Science, Engineering, or related field or equivalent experience.
3+ years of full-stack or software development experience in a production environment.
Proficiency with front-end technologies (HTML, CSS, JavaScript ES6+) and modern frameworks (React, Vue, Angular).
Experience with server-side languages (Python, Java, Ruby, Node.js, .NET), RESTful APIs, relational/NoSQL databases, cloud platforms (Azure, AWS) and Generative AI application development.
Experienced in designing scalable, secure, and testable software architectures with CI/CD and DevOps exposure.
Comfortable working in interdisciplinary, cross-cultural teams within financial services and data-driven environments.
Capable of translating complex business needs into actionable technical solutions while contributing to internal R&D and client innovation projects.