{"id":2496571,"url":"https://alion.io/job/binance-pioneer-talent-program-applied-ai-agentai-productivity-engineer-top-talent-program","title":"Pioneer Talent Program - Applied AI Agent/AI Productivity Engineer (Top Talent Program)","company":{"id":44,"name":"Binance","domain":"binance.com","url":"https://alion.io/company/binance","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hong Kong","Singapore","Malaysia","New Zealand","Taiwan"],"countries":["HK","SG","MY","NZ","TW"],"hiring_countries":["SG"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":78000,"period":"year","method":"role_seniority_country_cell","sample_n":33},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"Go","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"TypeScript","optional":false},{"name":"CI/CD","optional":true},{"name":"Claude","optional":true},{"name":"GitHub","optional":true},{"name":"LangChain","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OpenAI Agents SDK","optional":true}],"status":"live","first_seen_at":"2026-10-14T02:11:49Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-21T19:52:47Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.\nResponsibilities:\nDesign and develop AI-powered productivity tools for internal engineering teams, including coding assistants, knowledge retrieval systems, developer tools and workflow automation.\nBuild and integrate LLM-powered applications for real-world engineering use cases, such as code generation, code understanding, testing and developer workflow automation.\nDevelop AI Agent workflows and supporting infrastructure, including tool calling, context management, memory, evaluation and workflow orchestration.\nIntegrate AI capabilities into the software development lifecycle, from requirements and development to testing and deployment, to improve engineering productivity.\nWork closely with engineering teams to identify development bottlenecks and translate them into practical AI-driven solutions.\nApply approaches such as Prompt Engineering, RAG, AI Agents and MCP/tool calling, and continuously evaluate emerging AI technologies for practical adoption.\nOwn projects end-to-end, from problem definition and technical design to implementation, deployment and iteration.\nRequirements\nBachelor's degree or above in Computer Science, Data Science, Software Engineering or a related field.\n1-5 years of software engineering or applied AI engineering experience.\nProficient in at least one programming language, such as Python, Java, Go or JavaScript/TypeScript.\nSolid software engineering fundamentals, including API integration, system design, debugging and testing.\nHands-on experience building or integrating LLM-powered applications.\nPractical understanding of one or more of LLM Agents, RAG, Prompt Engineering, MCP/tool calling, context management or AI evaluation.\nExperience with backend, platform or full-stack development and integrating AI capabilities into production or internal workflows.\nStrong problem-solving and learning ability, with a hands-on and proactive approach.\nGood communication and collaboration skills, with the ability to work closely with engineering teams to understand and solve real-world problems.\nBonus Points\nExperience building AI productivity tools, developer tools, internal platforms or workflow automation systems.\nExperience with AI Agent frameworks, Agent memory, tool orchestration or multi-agent systems.\nExperience integrating LLMs into software development workflows, such as coding, testing, code review or deployment.\nExperience with RAG, knowledge systems, search or documentation platforms.\nExposure to DevOps, CI/CD, cloud infrastructure or engineering automation.\nExperience with LangChain, Claude Agent SDK, MCP or similar AI tooling.\nOpen-source contributions or an active GitHub portfolio.\nWhy Binance\nShape the future of finance \nCollaborate with world-class talent in a user-centric global organization with a flat structure\nTackle challenging projects in a fast-paced and innovative enviornment with autonomy\nThrive in a results-driven workplace with opportunities for career growth and continuous learning\nCompetitive salary and company benefits\nRemote-first, work-from-home arrangement (may vary depending on the nature of the role and team)\nBinance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.\nBy submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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