{"id":1235004,"url":"https://alion.io/job/sea-limited-agent-application-algorithm-engineer","title":"Agent Application 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":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"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":30000,"max_usd":70000,"period":"year","method":"role_country_seniority_unknown","sample_n":782},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"Context Engineering","optional":false},{"name":"Cursor","optional":false},{"name":"DeepSpeed","optional":false},{"name":"Function Calling","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Megatron-LM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Post-training","optional":false},{"name":"Pre-training","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reward Modeling","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":"2026-09-29T02:11:44Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Build core Agent logic, including but not limited to task planning and orchestration, tool calling, multi-turn dialogue management, memory, RAG, context engineering, and multi-agent collaboration.\n Lead Continuous Pre-training and Post-training for vertical domains and business scenarios, including building high-quality datasets and data pipelines, designing RL reward models, improving instruction following and reasoning capabilities, task completion, role-playing, anthropomorphic and personalized dialogue, proactive/reactive immersive multimodal conversation experiences, and enhancing the model's IQ and EQ.\nBuild long-term and short-term memory architectures, addressing issues such as forgetting and attention dispersion in long contexts, and improving immersion and consistency in long-term user interactions.\nBuild multimodal RAG systems, including development and optimization of key modules such as recall, ranking, long-text processing, and multi-document synthesis.\nDevelop the Agent's tool layer, integrating external APIs and MCP such as search, code interpreters, browsers, sandboxes, and third-party services.\nDesign and tune prompts and context management, with tailored optimization for different product requirements.\nDesign scientifically rigorous quantitative evaluation systems and plans aligned with product requirements; continuously monitor product metrics and provide guidance for Agent and model optimization.\nExplore innovative AI applications.\nMaster's degree or above in Artificial Intelligence, Computer Science, Mathematics, or a related field.\nStrong programming skills; proficient in PyTorch; familiar with distributed training frameworks such as DeepSpeed and Megatron.\nStrong experience with techniques and principles of LLM training/inference, including but not limited to data synthesis and filtering, model training optimization, prompt engineering, evaluation, deployment, and prototype development.\nStrong problem analysis and resolution skills; sustained interest and curiosity in frontier AI technologies and applications; strong self-drive; able to collaborate closely with teams to drive a full closed loop from research to deployment.\nGood development experience with Agent frameworks such as LangGraph, Google Agent Development Kit, or OWL.\nStrong engineering capabilities; familiar with AI development tools such as Cursor and Claude Code; proactive mindset for improving efficiency.\nPrior project experience in areas such as Agentic reinforcement learning, virtual character generation, multimodal interaction, personality modeling, or memory will be a strong plus","description_format":"text","description_chars":2617,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile Games","Marketplaces","Payment Processing & Gateways","Game Development"],"lifecycle":[{"event":"open","at":"2026-09-25T16:14:42Z"}],"liveness":{"score":80,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.846,"p_room":0.945,"age_days":4,"expected_fill_days":13,"reasons":["conf:27","velocity","win:mid"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/sea-limited-agent-application-algorithm-engineer","json_url":"https://alion.io/job/sea-limited-agent-application-algorithm-engineer.json","meta":{"generated_at":"2026-10-01T01:21:14Z","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":896,"day_limit":5000,"remaining_today":4104,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}