Top Tech Jobs & Startup Jobs in Delhi

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.

Lead global card program roadmap and launches (virtual and physical), manage issuer/processor/manufacturer relationships, integrate digital wallets (Apple/Google Pay), oversee card supply chain and vendors, negotiate commercial agreements, build SOPs and scalable operations, drive GTM with Product and Growth, and monitor performance through data-driven analysis.

Analyze PB-scale trading, transactional, operational and customer data; build visualizations, ML models and experiments; translate findings into actionable recommendations for trading, operations, product and executives in a fast-paced environment.

Lead and execute PR and communications strategy across Southeast Asia: build regional media relations, manage regulatory-sensitive communications, support launches and crisis response, guide agencies, coordinate with cross-functional teams, and measure PR performance.

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.

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.

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.