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Popular senior backend AI role in Mumbai with broad infra and full-stack requirements, raising applicant competition.
Core backend, cloud, and AI-integration skills are transferable, though financial-services preference increases domain specificity.
Mandatory 7+ years and specific backend, infra, and AI integration skills create stringent candidate filters.
Design, build, and maintain backend services, REST APIs, and data models to power AI-integrated customer products.
Integrate backend systems with AI Suite components such as LLMs, embeddings, and RAG to enable AI-driven features, including prompt engineering and function calling.
Manage CI/CD pipelines, resolve production issues, and collaborate cross-functionally to deliver end-to-end AI-powered features with focus on reliability and maintainability.
7+ years of programming and engineering experience with Python, REST API development, automated testing, and distributed systems fundamentals.
Proficiency with backend infrastructure including Kubernetes, Terraform, Docker; CI/CD pipelines; and relational databases like PostgreSQL.
Working experience with Generative AI/LLM concepts (RAG, embeddings, prompt engineering) and integrating AI platform APIs (e.g. AWS Bedrock or equivalent).
Working experience with AWS cloud services; security fundamentals including AuthN/AuthZ (OAuth2/OIDC, SSO), RBAC, and secrets management in production.
Experienced in building and operating AI-integrated backend systems focusing on application-level AI output quality and prompt engineering.
Skilled in balancing rapid delivery with code quality, reliability, and operational health in production environments.
Preferably has background or domain exposure to financial services, capital markets, digital assets/crypto, or AI infrastructure contexts.