{"id":1318486,"url":"https://alion.io/job/cmcglobal-ai-recommendation-developer-go","title":"AI Recommendation Developer (Go)","company":{"id":3827704,"name":"CMC Global","domain":"cmcglobal.com.vn","url":"https://alion.io/company/cmcglobal","size_band":"201-500","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"C","score":66,"open_postings":100,"ghost_share":0.57,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Backend","role_family":"Backend","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":["Vietnam"],"countries":["VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Go","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Redis","optional":false},{"name":"Spark","optional":false},{"name":"A/B Testing","optional":true},{"name":"AWS Bedrock","optional":true}],"status":"live","first_seen_at":"2026-08-05T07:09:41Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-26T23:32:15Z","board_verified":false,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":53},"description":"JOB DESCRIPTION\nWe are looking for an experienced AI Recommendation Developer with expertise in building Recommendation Systems to join our team in developing and optimizing a Retail/E-commerce (Wholesale) platform. You will work with data processing systems, personalization models, and backend services to enhance the customer shopping experience and drive business growth.\nKey Responsibilities\nDesign, develop, and maintain backend services for recommendation and personalization systems using Go.\nBuild and optimize product recommendation algorithms based on user behavior and product data.\nDevelop and integrate data processing pipelines for model training, deployment, and operation.\nIntegrate systems with Kafka or similar event-streaming platforms.\nWork with Redis, DynamoDB, or other low-latency storage solutions to optimize data access performance.\nCollaborate with cross-functional team members to analyze requirements, design solutions, and implement new features.\nMonitor system performance, optimize scalability, and ensure the reliability of the platform.\nREQUIREMENTS\nAt least 3 years of experience in Backend development using Go.\nHands-on experience in building Recommendation/Personalization Systems, leveraging one or more of the following approaches: Collaborative Filtering (ALS or equivalent), Item-to-Item Similarity, Content-Based Recommendation\nExperience working with Redis, DynamoDB, or other low-latency data storage systems.\nExperience building batch data pipelines or ETL workflows using one or more of the following technologies: Amazon S3, AWS Glue, Amazon Athena, Apache Spark Or equivalent platforms\nExperience integrating with Kafka or similar event-streaming platforms.\nStrong analytical and problem-solving skills, with the ability to work effectively in a collaborative team environment.\nNice to Have\nExperience with Embedding-Based Retrieval, Vector Databases, k-NN (k-Nearest Neighbors), or ML Model Serving platforms (AWS Bedrock or equivalent).\nExperience designing and implementing A/B Testing, Control/Holdout Groups, or other decision attribution and evaluation frameworks.\nExperience developing personalization, ranking, or Next Best Action systems within the E-commerce domain.\nExperience participating in System Integration (SI) projects with tight delivery timelines and the ability to meet project milestones efficiently.\nProject Information\nDomain : Retail / E-commerce (Wholesale)\nBENEFITS\nCompetitive Compensation Package: Includes a base salary, KPI-based bonuses, project incentives, and an additional benefits package valued at VND 16 million per year.\nDynamic and Collaborative Work Environment: Join a young, innovative team with abundant opportunities for learning, professional growth, and career advancement.\nExposure to Cutting-Edge Technologies: Stay up to date with the latest technology trends and contribute to large-scale, modern projects.\nVibrant Culture and Team Activities: Participate in various sports and cultural activities, including football clubs, Family Day events, company celebrations, and employee engagement programs.\nComprehensive Employee Benefits: Enjoy full benefits in accordance with Vietnamese Labor Law, along with attractive company-sponsored programs such as annual company trips, holiday and festival gifts, periodic health checkups, and other employee welfare initiatives.\nHOW TO APPLY\nPlease send your application via email: \n*By submitting your application to , you acknowledge that you have read, understood, and agreed to CMC Global’s REGULATIONS ON THE PROTECTION OF CANDIDATES’ PERSONAL INFORMATION.\nThe post AI Recommendation Developer (Go) appeared first on CMC Global.","description_format":"text","description_chars":3721,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce"],"lifecycle":[{"event":"open","at":"2026-09-26T20:13:45Z"}],"liveness":{"score":21,"band":"cold","label":"Long shot","p_open":1,"p_active":0.482,"p_room":0.44,"age_days":53,"expected_fill_days":42,"reasons":["conf:30","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/cmcglobal-ai-recommendation-developer-go","json_url":"https://alion.io/job/cmcglobal-ai-recommendation-developer-go.json","meta":{"generated_at":"2026-09-29T03:10:45Z","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":2892,"day_limit":5000,"remaining_today":2108,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}