Top Tech Jobs & Startup Jobs

Participate in QA for Binance products: design and review test cases, execute functional and regression tests, identify and track bugs, and collaborate with teams to ensure timely delivery and product quality during a fixed-term accelerator program.

Develop, deploy, and maintain LLM pipelines and RAG QA/search systems; design and optimize prompts and multi-agent LLM architectures; operate multi‑GPU/cluster inference; build evaluation pipelines for model quality, bias, and hallucination; collaborate with product and CS teams to integrate conversational AI.

Build internal AI developer productivity tools (coding assistants, retrieval systems, workflow automation). Develop LLM-powered apps for code generation, understanding, and test automation. Integrate AI across the SDLC, embed with teams to remove friction, experiment with prompt engineering, RAG, and AI agents, and evaluate emerging AI technologies.

Full-cycle technical recruiting across APAC: source, interview, manage hiring process, negotiate offers, onboard, maintain candidate pipelines and recruiting databases, perform market mapping, partner with HR and hiring managers, and drive HR projects to meet aggressive hiring goals.

Design, implement, and optimize new user-facing features for Binance's global Android apps. Deliver high-performance, stable code, integrate real-time data sources, write unit tests, troubleshoot and fix critical bugs, and contribute to technical and architectural discussions for scalable product development.

Advance reasoning and planning of foundation models by building data acquisition, SFT, reward modelling, and RL workflows. Design scalable retrieval, indexing, vector search, reranking, and RAG pipelines; research multimodal/graph retrieval and advanced decoding (MCTS, A*); teach models to use external tools/APIs; build agents and evaluation methodologies; collaborate to productionise large-scale LLM/VLM/agent systems.

Lead product direction and roadmap for backend trading systems (matching engine, risk engines, pricing models). Translate complex trading and risk logic into technical requirements, manage full product lifecycle, monitor backend performance, and ensure regulatory and best-practice compliance.

Serve as senior in-house counsel delivering corporate legal strategy, governance, M&A, restructurings, joint ventures and cross-border projects. Provide proactive business-focused advice, draft and review legal documents, manage complex multi-jurisdictional matters, train non-legal colleagues, and partner with regional teams to mitigate risk and enable business objectives.

Design, build, and manage large-scale search and content recommendation systems using machine learning and personalization techniques. Collaborate with content, product, and business teams to define success metrics, drive AI product improvements, and maximize content value and user impact.

Full-cycle senior technical recruiter acting as talent partner for technical and product teams: source, interview, coordinate hiring, negotiate offers, maintain pipelines, improve hiring processes, run hiring projects and analytics, and support onboarding to attract and retain top talent.