{"id":52527,"date":"2026-06-02T14:26:37","date_gmt":"2026-06-02T07:26:37","guid":{"rendered":"https:\/\/ecomobi.com\/?post_type=job_listing&#038;p=52527"},"modified":"2026-06-02T14:34:42","modified_gmt":"2026-06-02T07:34:42","slug":"ecomobi-ha-noi-509-senior-python-developer","status":"publish","type":"job_listing","link":"https:\/\/ecomobi.com\/vi\/job\/ecomobi-ha-noi-509-senior-python-developer\/","title":{"rendered":"Senior Python Developer"},"content":{"rendered":"<h2><b>C\u00e2u chuy\u1ec7n c\u1ee7a ch\u00fang t\u00f4i<\/b><\/h2>\n<p><b>Ecomobi<\/b><span style=\"font-weight: 400;\"> l\u00e0 H\u1ec7 sinh th\u00e1i Th\u01b0\u01a1ng m\u1ea1i Ng\u01b0\u1eddi s\u00e1ng t\u1ea1o h\u00e0ng \u0111\u1ea7u \u0110\u00f4ng Nam \u00c1, n\u01a1i h\u1ed9i t\u1ee5 c\u00f4ng ngh\u1ec7, d\u1eef li\u1ec7u v\u00e0 s\u1ef1 s\u00e1ng t\u1ea1o \u0111\u1ec3 t\u00e1i \u0111\u1ecbnh ngh\u0129a c\u00e1ch c\u00e1c th\u01b0\u01a1ng hi\u1ec7u t\u0103ng tr\u01b0\u1edfng trong k\u1ef7 nguy\u00ean s\u1ed1.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">D\u1ef1a tr\u00ean chuy\u00ean m\u00f4n s\u00e2u v\u1ec1 <\/span><i><span style=\"font-weight: 400;\">affiliate marketing<\/span><\/i><span style=\"font-weight: 400;\"> v\u00e0 <\/span><i><span style=\"font-weight: 400;\">social commerce<\/span><\/i><span style=\"font-weight: 400;\">, ch\u00fang t\u00f4i cung c\u1ea5p gi\u1ea3i ph\u00e1p t\u0103ng tr\u01b0\u1edfng to\u00e0n di\u1ec7n (full-funnel): t\u1eeb h\u1ea1 t\u1ea7ng c\u00f4ng ngh\u1ec7, t\u1ed1i \u01b0u chi\u1ebfn d\u1ecbch, \u0111\u1ebfn livestream commerce v\u00e0 influencer marketing quy m\u00f4 l\u1edbn.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Hi\u1ec7n t\u1ea1i, Ecomobi s\u1edf h\u1eefu m\u1ea1ng l\u01b0\u1edbi c\u1ed1t l\u00f5i g\u1ed3m g\u1ea7n 2 tri\u1ec7u nh\u00e0 ph\u00e2n ph\u1ed1i, h\u01a1n 300.000 nh\u00e0 s\u00e1ng t\u1ea1o v\u00e0 h\u01a1n 2.000 \u0111\u1ed1i t\u00e1c th\u01b0\u01a1ng hi\u1ec7u cao c\u1ea5p t\u1ea1i APAC. \u0110\u01b0\u1ee3c c\u00e1c th\u01b0\u01a1ng hi\u1ec7u to\u00e0n c\u1ea7u nh\u01b0 Lazada, Unilever, L\u2019Or\u00e9al tin t\u01b0\u1edfng, ch\u00fang t\u00f4i kh\u00f4ng ch\u1ec9 k\u1ebft n\u1ed1i m\u00e0 c\u00f2n ki\u1ebfn t\u1ea1o k\u1ebft qu\u1ea3 t\u0103ng tr\u01b0\u1edfng th\u1ef1c t\u1ebf b\u1eb1ng d\u1eef li\u1ec7u v\u00e0 \u0111\u1ed5i m\u1edbi s\u00e1ng t\u1ea1o.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Tr\u00ean h\u00e0nh tr\u00ecnh ti\u1ebfp t\u1ee5c m\u1edf r\u1ed9ng quy m\u00f4 t\u1ea1i \u0110\u00f4ng Nam \u00c1, ch\u00fang t\u00f4i t\u00ecm ki\u1ebfm nh\u1eefng t\u00e0i n\u0103ng ki\u1ec7t xu\u1ea5t c\u00f9ng chung tham v\u1ecdng \u0111\u1ecbnh h\u00ecnh t\u01b0\u01a1ng lai c\u1ee7a n\u1ec1n kinh t\u1ebf ng\u01b0\u1eddi s\u00e1ng t\u1ea1o.<\/span><\/p>\n<p><strong><br \/>\n\u2014<\/strong><\/p>\n<p><strong>M\u00f4 t\u1ea3 c\u00f4ng vi\u1ec7c<\/strong><\/p>\n<ul>\n<li>Tham gia x\u00e2y d\u1ef1ng v\u00e0 ph\u00e1t tri\u1ec3n c\u00e1c h\u1ec7 th\u1ed1ng AI n\u1ed9i b\u1ed9 c\u1ee7a c\u00f4ng ty b\u1eb1ng ng\u00f4n ng\u1eef Python, t\u1eadp trung v\u00e0o c\u00e1c b\u00e0i to\u00e1n AI LLM, chatbot, AI Agents v\u00e0 MCP.<\/li>\n<li>Ph\u1ed1i h\u1ee3p v\u1edbi team \u0111\u1ec3 ph\u00e2n t\u00edch, thi\u1ebft k\u1ebf v\u00e0 tri\u1ec3n khai c\u00e1c gi\u1ea3i ph\u00e1p AI ph\u1ee5c v\u1ee5 c\u00e1c nhu c\u1ea7u nghi\u1ec7p v\u1ee5 m\u1edbi ho\u1eb7c n\u00e2ng c\u1ea5p c\u00e1c s\u1ea3n ph\u1ea9m hi\u1ec7n c\u00f3.<\/li>\n<li>Nghi\u00ean c\u1ee9u, th\u1eed nghi\u1ec7m v\u00e0 t\u00edch h\u1ee3p c\u00e1c c\u00f4ng ngh\u1ec7 m\u1edbi li\u00ean quan \u0111\u1ebfn LLM, Agentic AI, orchestration, prompt engineering v\u00e0 tool calling nh\u1eb1m n\u00e2ng cao ch\u1ea5t l\u01b0\u1ee3ng s\u1ea3n ph\u1ea9m.<\/li>\n<li>X\u00e2y d\u1ef1ng, t\u1ed1i \u01b0u v\u00e0 v\u1eadn h\u00e0nh c\u00e1c h\u1ec7 th\u1ed1ng chatbot\/AI assistants, bao g\u1ed3m qu\u1ea3n l\u00fd prompt, context, memory, tool integrations, guardrails, cost v\u00e0 latency.<\/li>\n<li>Thi\u1ebft k\u1ebf v\u00e0 ph\u00e1t tri\u1ec3n c\u00e1c MCP servers\/tools b\u1eb1ng Python \u0111\u1ec3 k\u1ebft n\u1ed1i AI agents v\u1edbi h\u1ec7 th\u1ed1ng n\u1ed9i b\u1ed9, API, database v\u00e0 c\u00e1c ngu\u1ed3n d\u1eef li\u1ec7u kh\u00e1c.<\/li>\n<li>B\u1ea3o tr\u00ec, t\u1ed1i \u01b0u v\u00e0 n\u00e2ng c\u1ea5p c\u00e1c t\u00ednh n\u0103ng AI hi\u1ec7n c\u00f3 nh\u1eb1m \u0111\u00e1p \u1ee9ng y\u00eau c\u1ea7u m\u1edbi, t\u0103ng \u0111\u1ed9 \u1ed5n \u0111\u1ecbnh, \u0111\u1ed9 ch\u00ednh x\u00e1c v\u00e0 tr\u1ea3i nghi\u1ec7m ng\u01b0\u1eddi d\u00f9ng.<\/li>\n<li>Ph\u1ed1i h\u1ee3p c\u00f9ng c\u00e1c team li\u00ean quan \u0111\u1ec3 monitor, \u0111\u00e1nh gi\u00e1 ch\u1ea5t l\u01b0\u1ee3ng output c\u1ee7a AI, t\u1ed1i \u01b0u hi\u1ec7u n\u0103ng h\u1ec7 th\u1ed1ng v\u00e0 ki\u1ec3m so\u00e1t chi ph\u00ed v\u1eadn h\u00e0nh.<\/li>\n<li>H\u1ed7 tr\u1ee3 \u0111\u00e0o t\u1ea1o, h\u01b0\u1edbng d\u1eabn c\u00e1c th\u00e0nh vi\u00ean junior ho\u1eb7c c\u00e1c th\u00e0nh vi\u00ean trong team trong qu\u00e1 tr\u00ecnh ph\u00e1t tri\u1ec3n c\u00e1c s\u1ea3n ph\u1ea9m AI.<\/li>\n<\/ul>\n<p><strong>Y\u00eau c\u1ea7u c\u00f4ng vi\u1ec7c:\u00a0<\/strong><\/p>\n<ul>\n<li>T\u1ed1t nghi\u1ec7p C\u1eed nh\u00e2n C\u00f4ng ngh\u1ec7 Th\u00f4ng tin ho\u1eb7c ng\u00e0nh li\u00ean quan.<\/li>\n<li>Th\u00e0nh th\u1ea1o Python v\u1edbi \u00edt nh\u1ea5t 3 n\u0103m kinh nghi\u1ec7m ph\u00e1t tri\u1ec3n ph\u1ea7n m\u1ec1m, \u01b0u ti\u00ean \u1ee9ng vi\u00ean \u0111\u00e3 tham gia c\u00e1c d\u1ef1 \u00e1n AI\/LLM th\u1ef1c t\u1ebf.<\/li>\n<li>C\u00f3 kinh nghi\u1ec7m l\u00e0m vi\u1ec7c v\u1edbi c\u00e1c project v\u1ec1 AI LLM, chatbot, AI assistants ho\u1eb7c AI Agents.<\/li>\n<li>Hi\u1ec3u r\u00f5 c\u00e1ch th\u1ee9c ho\u1ea1t \u0111\u1ed9ng c\u1ee7a AI LLM, bao g\u1ed3m: prompt, context window, token usage, retrieval, tool calling, structured output, hallucination, latency v\u00e0 cost optimization.<\/li>\n<li>C\u00f3 kinh nghi\u1ec7m thi\u1ebft k\u1ebf, t\u1ed1i \u01b0u prompt v\u00e0 \u0111\u00e1nh gi\u00e1 ch\u1ea5t l\u01b0\u1ee3ng ph\u1ea3n h\u1ed3i c\u1ee7a h\u1ec7 th\u1ed1ng AI trong m\u00f4i tr\u01b0\u1eddng production.<\/li>\n<li>C\u00f3 kinh nghi\u1ec7m build MCP b\u1eb1ng Python ho\u1eb7c x\u00e2y d\u1ef1ng c\u00e1c tool\/service integration \u0111\u1ec3 AI agents c\u00f3 th\u1ec3 truy c\u1eadp d\u1eef li\u1ec7u, g\u1ecdi API v\u00e0 th\u1ef1c thi action.<\/li>\n<li>N\u1eafm v\u1eefng l\u1eadp tr\u00ecnh h\u01b0\u1edbng \u0111\u1ed1i t\u01b0\u1ee3ng (OOP), design patterns, clean code v\u00e0 k\u1ef9 n\u0103ng t\u1ed1i \u01b0u m\u00e3 ngu\u1ed3n \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o hi\u1ec7u n\u0103ng, b\u1ea3o m\u1eadt v\u00e0 kh\u1ea3 n\u0103ng b\u1ea3o tr\u00ec.<\/li>\n<li>C\u00f3 kinh nghi\u1ec7m l\u00e0m vi\u1ec7c v\u1edbi RESTful API, WebSocket ho\u1eb7c streaming response l\u00e0 m\u1ed9t l\u1ee3i th\u1ebf.<\/li>\n<li>C\u00f3 kinh nghi\u1ec7m l\u00e0m vi\u1ec7c v\u1edbi database nh\u01b0 PostgreSQL, MySQL, ClickHouse, MongoDB; hi\u1ec3u bi\u1ebft v\u1ec1 Redis\/cache l\u00e0 m\u1ed9t l\u1ee3i th\u1ebf.<\/li>\n<li>C\u00f3 kinh nghi\u1ec7m l\u00e0m vi\u1ec7c v\u1edbi queue\/asynchronous processing, background jobs ho\u1eb7c event-driven systems l\u00e0 m\u1ed9t l\u1ee3i th\u1ebf.<\/li>\n<li>C\u00f3 kinh nghi\u1ec7m s\u1eed d\u1ee5ng Docker, Gitflow Workflow v\u00e0 c\u00e1c c\u00f4ng c\u1ee5 qu\u1ea3n l\u00fd c\u00f4ng vi\u1ec7c nh\u01b0 Jira.<\/li>\n<li>C\u00f3 kh\u1ea3 n\u0103ng ph\u00e2n t\u00edch v\u1ea5n \u0111\u1ec1 t\u1ed1t, giao ti\u1ebfp logic, m\u1ea1ch l\u1ea1c, n\u00eau \u00fd ch\u00ednh r\u00f5 r\u00e0ng v\u00e0 h\u1ee3p t\u00e1c t\u1ed1t v\u1edbi \u0111\u1ed3ng nghi\u1ec7p.<\/li>\n<li>C\u00f3 tinh th\u1ea7n h\u1ecdc h\u1ecfi, ch\u1ee7 \u0111\u1ed9ng nghi\u00ean c\u1ee9u v\u00e0 \u00e1p d\u1ee5ng c\u00f4ng ngh\u1ec7 m\u1edbi v\u00e0o c\u00f4ng vi\u1ec7c.<\/li>\n<li>\u01afu ti\u00ean \u1ee9ng vi\u00ean c\u00f3 kinh nghi\u1ec7m v\u1edbi c\u00e1c framework\/th\u01b0 vi\u1ec7n AI nh\u01b0 LangChain, LangGraph, Haystack, LlamaIndex, FastAPI, ho\u1eb7c c\u00e1c h\u1ec7 th\u1ed1ng orchestration cho multi-agent.<\/li>\n<li>\u01afu ti\u00ean \u1ee9ng vi\u00ean \u0111\u00e3 t\u1eebng l\u00e0m vi\u1ec7c trong m\u00f4i tr\u01b0\u1eddng product ho\u1eb7c c\u00e1c s\u1ea3n ph\u1ea9m c\u00f3 l\u01b0\u1ee3ng ng\u01b0\u1eddi d\u00f9ng th\u1ef1c t\u1ebf.<\/li>\n<\/ul>\n<p><strong>Quy\u1ec1n l\u1ee3i:<\/strong><\/p>\n<ul>\n<li>100% l\u01b0\u01a1ng v\u00e0 ph\u1ee5 c\u1ea5p trong 2 th\u00e1ng th\u1eed vi\u1ec7c.<\/li>\n<li>Ph\u1ee5 c\u1ea5p: \u0103n tr\u01b0a 40.000 VND\/ng\u00e0y, g\u1eedi xe 250.000 VND\/th\u00e1ng.<\/li>\n<li>C\u1ea5p laptop\/PC ho\u1eb7c tr\u1ee3 c\u1ea5p 400.000 VND\/th\u00e1ng (n\u1ebfu nh\u00e2n vi\u00ean t\u1ef1 d\u00f9ng laptop c\u00e1 nh\u00e2n).<\/li>\n<li>Th\u01b0\u1edfng c\u00e1c d\u1ecbp l\u1ec5 T\u1ebft: th\u00e1ng l\u01b0\u01a1ng 13, T\u1ebft d\u01b0\u01a1ng l\u1ecbch, 08\/03, 01\/05, 02\/09, 20\/10, Trung thu, sinh nh\u1eadt, th\u01b0\u1edfng qu\u00fd, Year-End bonus, v.v.<\/li>\n<li>\u0110\u00e1nh gi\u00e1 hi\u1ec7u qu\u1ea3 c\u00f4ng vi\u1ec7c v\u00e0 xem x\u00e9t t\u0103ng l\u01b0\u01a1ng \u00edt nh\u1ea5t 1 l\u1ea7n m\u1ed7i n\u0103m.<\/li>\n<li>Qu\u1ef9 h\u1ecdc t\u1eadp d\u00e0nh cho to\u00e0n nh\u00e2n vi\u00ean.<\/li>\n<li>Th\u1eddi gian l\u00e0m vi\u1ec7c: 9h-18h (th\u1ee9 Hai \u0111\u1ebfn th\u1ee9 S\u00e1u).<\/li>\n<li>Ngh\u1ec9 ph\u00e9p n\u0103m: l\u00ean t\u1edbi 17 ng\u00e0y\/n\u0103m (bao g\u1ed3m 12 ng\u00e0y ngh\u1ec9\/n\u0103m, 1 ng\u00e0y ngh\u1ec9 th\u00e1ng sinh nh\u1eadt, 4 ng\u00e0y ngh\u1ec9 Caring days).<\/li>\n<li>B\u1ea3o hi\u1ec3m x\u00e3 h\u1ed9i v\u00e0 b\u1ea3o hi\u1ec3m s\u1ee9c kh\u1ecfe (PVI); kh\u00e1m s\u1ee9c kh\u1ecfe \u0111\u1ecbnh k\u1ef3 1 l\u1ea7n\/n\u0103m.<\/li>\n<li>Du l\u1ecbch summer trip, year-end party, teambuilding, v.v.<\/li>\n<\/ul>\n<p><strong>C\u00e1c th\u00f4ng tin kh\u00e1c:<\/strong><\/p>\n<ul>\n<li>Th\u1eddi gian l\u00e0m vi\u1ec7c: 9AM \u2013 6PM (7,5h\/ng\u00e0y t\u1eeb th\u1ee9 2 &#8211; th\u1ee9 6)<\/li>\n<li>\u0110\u1ecba \u0111i\u1ec3m l\u00e0m vi\u1ec7c: 174 Th\u00e1i H\u00e0, qu\u1eadn \u0110\u1ed1ng \u0110a, th\u00e0nh ph\u1ed1 H\u00e0 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