Middle Senior Back-end Engineer
Hạn nộp hồ sơ: 30/10/2026 (Còn 14 ngày)
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■ Service: technology consulting
■ Location: Dist.3., HCMC
■ Position: FULLTIME Middle Senior Back-end Engineer (+ with experience in AI/NLP Application)
■ Job description:
Analyze requirements and design AI/NLP solutions.
Collaborate with the PM and team members to plan and report on implementation progress.
Build and maintain pipelines for text document processing and efficient information retrieval.
Integrate LLMs with enterprise data sources (databases, APIs, SaaS platforms) and optimize retrieval and inference performance.
Test and enhance pipelines, data processing modules, and LLM integration to ensure reliability, scalability, and high performance.
Proactively propose ideas to improve system architecture and overall project efficiency
■ Necessary Requirement
From 25 - 32 yrs
Diploma: Bachelor's degree or higher (excluding vocational school graduates)_Major: Computer Science, Software Engineering or Information Technology
Working experience : 3 years ++ hand on experience
Proficiency in Python and SQL.
Ability to customize and extend low-code platforms (e.g., Dify, N8N).
Experience with vector databases and search techniques (e.g., Weaviate, Pinecone, FAISS, Milvus).
Hands-on experience designing and implementing RAG pipelines (multi-source retrieval, reranking, metadata-driven search).
Experience in fine-tuning/adapting LLMs (LoRA, prompt engineering).
Experience with text data processing (preprocessing, metadata tagging, feature extraction, embeddings).
Experience working with GPT-based and open-source LLMs (OpenAI, LLaMA, Mistral).
Deployment experience on cloud platforms (Azure, GCP, AWS).
Strong understanding of SaaS integration and hybrid system architecture.
Nice-to-have:
Experience with search and retrieval systems (Azure AI Search, Elastic, hybrid solutions).
Understanding of LLM orchestration and product workflows (multi-step pipelines, chatbot architecture).
Familiarity with LLM evaluation/testing frameworks (Ragas, Promptfoo).
Experience with MLOps for LLM (lifecycle, monitoring, drift detection).
Experience with CI/CD pipelines (GitHub Actions).
Knowledge of monitoring/logging systems (Sentry, Grafana).
■ Working time: Mon- Fri 8:30 to 17:30 (can work from home)
■ Salary: up to 60 Mil gross
■ Benefit
Competitive salary with full social insurance contributions according to government regulations.
Company-issued MacBook for work.
Probation period: 60 days with 100% official salary.
Working hours: Monday to Friday (8:30-17:30), off on Saturdays, Sundays, and public holidays.
Hybrid working mode (mix of office and remote work).
Allowances: parking at office building, lunch, transportation, housing, childcare (for children under 3 yrs), project, and phone allowance.
Benefits: annual health check-up, company trip, year-end party, monthly team-building activities, and 13th-month salary bonus.
Additional bonuses on special occasions such as Lunar New Year, New Year, Mid-Autumn Festival, International Children's Day, and other public holidays.
Annual salary review.
■ Interview step:
1st online interview with HR (character, orientation)-10 to 20 mins
2nd online interview with Tech Lead ( Tech experience, no test)_ 1 hour
3rd: Japanese Manager (If have)
■ Location: Dist.3., HCMC
■ Position: FULLTIME Middle Senior Back-end Engineer (+ with experience in AI/NLP Application)
■ Job description:
Analyze requirements and design AI/NLP solutions.
Collaborate with the PM and team members to plan and report on implementation progress.
Build and maintain pipelines for text document processing and efficient information retrieval.
Integrate LLMs with enterprise data sources (databases, APIs, SaaS platforms) and optimize retrieval and inference performance.
Test and enhance pipelines, data processing modules, and LLM integration to ensure reliability, scalability, and high performance.
Proactively propose ideas to improve system architecture and overall project efficiency
■ Necessary Requirement
From 25 - 32 yrs
Diploma: Bachelor's degree or higher (excluding vocational school graduates)_Major: Computer Science, Software Engineering or Information Technology
Working experience : 3 years ++ hand on experience
Proficiency in Python and SQL.
Ability to customize and extend low-code platforms (e.g., Dify, N8N).
Experience with vector databases and search techniques (e.g., Weaviate, Pinecone, FAISS, Milvus).
Hands-on experience designing and implementing RAG pipelines (multi-source retrieval, reranking, metadata-driven search).
Experience in fine-tuning/adapting LLMs (LoRA, prompt engineering).
Experience with text data processing (preprocessing, metadata tagging, feature extraction, embeddings).
Experience working with GPT-based and open-source LLMs (OpenAI, LLaMA, Mistral).
Deployment experience on cloud platforms (Azure, GCP, AWS).
Strong understanding of SaaS integration and hybrid system architecture.
Nice-to-have:
Experience with search and retrieval systems (Azure AI Search, Elastic, hybrid solutions).
Understanding of LLM orchestration and product workflows (multi-step pipelines, chatbot architecture).
Familiarity with LLM evaluation/testing frameworks (Ragas, Promptfoo).
Experience with MLOps for LLM (lifecycle, monitoring, drift detection).
Experience with CI/CD pipelines (GitHub Actions).
Knowledge of monitoring/logging systems (Sentry, Grafana).
■ Working time: Mon- Fri 8:30 to 17:30 (can work from home)
■ Salary: up to 60 Mil gross
■ Benefit
Competitive salary with full social insurance contributions according to government regulations.
Company-issued MacBook for work.
Probation period: 60 days with 100% official salary.
Working hours: Monday to Friday (8:30-17:30), off on Saturdays, Sundays, and public holidays.
Hybrid working mode (mix of office and remote work).
Allowances: parking at office building, lunch, transportation, housing, childcare (for children under 3 yrs), project, and phone allowance.
Benefits: annual health check-up, company trip, year-end party, monthly team-building activities, and 13th-month salary bonus.
Additional bonuses on special occasions such as Lunar New Year, New Year, Mid-Autumn Festival, International Children's Day, and other public holidays.
Annual salary review.
■ Interview step:
1st online interview with HR (character, orientation)-10 to 20 mins
2nd online interview with Tech Lead ( Tech experience, no test)_ 1 hour
3rd: Japanese Manager (If have)
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