Top Tech Jobs & Startup Jobs

Lead go-to-market strategy and execution for Binance products across South Asia, including localization, market research, campaign design, stakeholder coordination, cross-channel growth, user research, and compliance alignment to drive product adoption and business outcomes.

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.

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.

Support development and maintenance of SQL-based data pipelines and analytics workflows. Assist data standardization, build and optimize data models, dashboards, and reports. Perform ad-hoc analyses, monitor data quality, implement validation logic, and collaborate on cross-functional data and risk projects under mentorship.