{"id":1234994,"url":"https://alion.io/job/sea-limited-agentic-commerce-ai-agent-algorithm-engineer","title":"Agentic Commerce AI Agent Algorithm Engineer","company":{"id":159,"name":"Sea Limited","domain":"sea.com","url":"https://alion.io/company/sea-limited","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":125000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Function Calling","optional":false},{"name":"Google ADK","optional":false},{"name":"Hallucination","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Python","optional":false},{"name":"SFT","optional":false},{"name":"Tool Use","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-09-25T16:14:42Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-25T23:50:38Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"E-commerce shopping Agent architecture design: Design a shopping Agent for To C (consumer) users, covering intent understanding, task planning, product recall, tool calling, result integration, and multi-turn conversation pipelines.\nUser intent and requirement understanding: Address natural language queries, ambiguous requirements, scenario-driven shopping, budget constraints, and preference expression to improve the Agent's ability to interpret users' real shopping intent.\nUser memory and preference modeling: Build long- and short-term memory systems for e-commerce scenarios based on user conversation and behavioral data, model user preferences, and enhance the Agent's personalization capabilities.\nTool-calling capability improvement: Design and optimize the strategies and pipelines for the Agent invoking tools such as search, recommendation, product details, review summarization, price comparison, promotions, inventory, and logistics.\nMulti-turn guided shopping dialogue: Build multi-turn dialogue capabilities for complex shopping decisions, including need clarification, preference follow-up, product filtering, candidate comparison, and purchase recommendation generation.\nAgent evaluation and effectiveness optimization: Build offline and online evaluation systems covering task completion rate, product relevance, recommendation accuracy, factual consistency, hallucination rate, conversion metrics, user satisfaction, latency, and cost.\nOnline deployment and continuous iteration: Collaborate with product, engineering, search/recommendation, merchandising, and operations teams to drive large-scale application of Agent capabilities in company-wide To C scenarios.\nMaster‘s degree in Computer Science, Artificial Intelligence, Mathematics, Software Engineering, or a related field.\nAt least 3 years of full time experience in algorithms, machine learning, NLP, search & recommendation, or LLM applications, including at least 1 year of hands-on practice with large model applications or dialogue systems.\nPrior development experience with at least one of the following directions: Agent orchestration, Agentic Search, Memory, Agentic RL.\nPrior experience with LLM application development paradigms, including Harness Engineering, Function Calling, context management, and LLM Eval.\nStrong proficiency in Python; able to drive algorithm solutions from experimental validation to online deployment.\nStrong understanding of To C product requirements for experience, latency, cost, stability, and security, with the ability to continuously optimize Agent effectiveness in real online scenarios.\nStrong business understanding, data analysis, problem decomposition, and cross-team collaboration capabilities.\nPrior hands-on experience with e-commerce guided shopping, intelligent shopping assistants, search/recommendation Copilots, or To C AI products in production will be a storng plus\nPrior experience with evaluation, A/B experiments, cost optimization, latency optimization, and stability governance for large-scale online LLM applications.\nPrior experience with Agent frameworks or complex workflow orchestration, such as Google ADK, LangGraph, OpenAI Agents SDK, etc.\nExperience with Agentic SFT / RL training is a plus.","description_format":"text","description_chars":3245,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Mobile Games","Payment Processing & Gateways","Game Development"],"lifecycle":[{"event":"open","at":"2026-09-25T16:14:42Z"}],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":0.9,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":18,"reasons":["conf:53","velocity","win:early"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/sea-limited-agentic-commerce-ai-agent-algorithm-engineer","json_url":"https://alion.io/job/sea-limited-agentic-commerce-ai-agent-algorithm-engineer.json","meta":{"generated_at":"2026-09-29T00:42:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":604,"day_limit":5000,"remaining_today":4396,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}