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Tier-1 brand, metro location, and broad high-demand GenAI/fullstack skillset.
GenAI skills transfer across industries, but banking and enterprise operations experience preference increases domain specificity.
Explicit 10+ years requirement plus mandatory ML, cloud, infrastructure, and fullstack tech stack.
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Lead engineering and delivery of scalable Full Stack solutions integrating Generative AI and agentic flows to drive operational efficiencies across enterprise applications.
Develop and mature AI and Large Language Model technology capabilities, and drive enterprise-wide adoption of Generative AI solutions.
Collaborate with technology teams and third-party providers to validate and implement best-of-breed AI solutions, promoting lean methodologies and rapid iterative development.
Minimum 10+ years professional experience in financial services, technology firms, or dynamic start-up environments.
Proficiency in Java and/or Python, UI development using React JS or StreamLit, and frameworks such as Spring or Flask.
Experience with cloud platforms (AWS, GCP, or Azure), containerization and infrastructure tools (Docker, Kubernetes, Terraform, Helm), and database technologies (Oracle, Postgres, or MongoDB).
Bachelor's degree in Computer Science, Information Technology or Engineering; Master's preferred.
Senior engineer with deep experience delivering large-scale, high-performance distributed systems and scalable product solutions in complex environments.
Strong operator with Agile delivery and product management experience, able to navigate organizational complexity and push wide adoption of new AI technologies.
Technically versatile Full Stack developer comfortable with AI/ML frameworks, generative AI integration, and infrastructure automation tools.