Top Tech Jobs & Startup Jobs in Mumbai

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.

Early-career fixed-term program to acquire and manage institutional/VIP clients, expand relationships, build customer service processes, analyze user behavior, and provide product feedback across teams.

Lead Binance's global product legal function, advising product and engineering teams across the product lifecycle on regulatory risks for trading, payments, and digital-asset products; build compliance frameworks; engage regulators and external counsel; run training and governance to support product launches and operations across jurisdictions.

Lead strategy and execution for virtual and physical card products, managing end-to-end launches, vendor and partner relationships (issuers, processors, BIN sponsors, manufacturers), wallet integrations, commercial negotiations, card production and fulfillment, and build scalable SOPs while monitoring performance and driving operational improvements.

Lead global business development for Binance Pay by identifying and closing enterprise merchant and payments infrastructure partnerships. Own full sales cycles, negotiate contracts, coordinate KYB and integrations, collaborate with Product/Legal/Compliance/Marketing, drive regional expansion strategies across priority verticals, analyze partner performance to optimize commercial terms, and meet aggressive merchant and transaction growth KPIs.

Internship role to develop and deploy user-growth algorithms: user segmentation, recommendations, LTV/churn/conversion models, A/B testing, causal inference analyses, and collaborate with product and engineering to drive measurable growth.

Early-career role building AI-powered developer tools and internal LLM applications. Tasks include coding assistants, lightweight RAG pipelines, prompt optimization, testing, documentation, and researching emerging AI technologies to improve engineering productivity.

Early-career research role designing and running experiments on LLM reasoning, post-training alignment, and test-time scaling. Implement model variants and training pipelines in PyTorch/Hugging Face, evaluate on crypto-native data, maintain experiment tracking (W&B), and partner with engineering to translate research to production.

Design and build internal AI productivity tools and LLM-powered applications to augment developer workflows. Integrate AI into the software development lifecycle, apply techniques like prompt engineering, RAG, and agents, partner with engineering teams to identify bottlenecks, and continuously evaluate emerging AI technologies to improve internal platforms and engineering efficiency.

Work with Product, Business, and Engineering to collect, clean, analyze data, build Python and SQL automation, contribute to internal analytics platforms, assist cloud deployments, and document technical solutions to support decision-making.