Top Tech Jobs & Startup Jobs in Mumbai

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Early-career role building and evaluating LLM-powered agentic trading systems for crypto markets. Develop pipelines, prompt strategies, retrieval, model evaluations, and ship Python code for production features.

Originate, structure, and close equity capital markets deals for a tokenized products suite. Build and manage external relationships and a robust pipeline, lead commercial negotiations, prepare origination materials, monitor market activity, and coordinate cross-functional execution through diligence, documentation, and closing.

Support development of tokenized equity products by conducting due diligence, building financial and commercial models, performing market and competitor research, preparing committee memos and presentations, tracking ECM activity, and owning research workstreams through transaction execution.

Design, build, and maintain backend systems for card issuing and lifecycle management. Lead technical design for card certification and onboarding (Visa, MasterCard, Apple/Google Pay), ensure scalability, reliability, and compliance, define service boundaries and integrations, and implement high-throughput payment infrastructure while collaborating with product, compliance, and engineering teams.

Build and maintain high-throughput distributed KYC services: translate business requirements into reliable services, write tests and docs, perform performance tuning and incident troubleshooting, collaborate across teams, and mentor junior engineers while following engineering best practices.

Join as an early-career full stack engineer to build frontend and backend product features, integrate AI coding tools into development workflows, translate product requirements into implementations, and grow toward autonomous full stack delivery while improving cross-team processes.

Support development of internal LLM-based tools (coding assistants, RAG pipelines, prompt optimization), improve engineering efficiency, test and document AI tools, and research emerging AI technologies.

Build AI-driven developer tools: coding assistants, knowledge retrieval, workflow automation, and LLM-powered apps for code generation, understanding, and test automation. Collaborate with engineering teams to identify pain points, ship solutions, and experiment with prompt engineering, RAG, and AI agents.

Participate in design and development of AI-powered financial trading agents using Web3 data. Perform post-training (SFT, RLHF/RLAIF) of LLMs, build benchmark datasets, iterate workflow prototypes, and assist senior engineers with system design, integration, and deployment.