We are looking for a hands-on Senior Generative AI Engineer to build production-ready enterprise chatbots, RAG-based knowledge systems, and LLM applications. The role combines AI application engineering, backend integration, evaluation, deployment, and production troubleshooting.
Key Responsibilities
Design and build enterprise Chatbot and RAG solutions end-to-end, from ingestion and retrieval to citation and evaluation.
Integrate commercial or open-source LLMs with prompting, structured output, tool calling and guardrails.
Develop backend APIs and AI services that connect GenAI capabilities with enterprise systems and data sources.
Deploy and operate solutions in cloud or on-premises environments, with attention to latency, token cost, concurrency and stability.
Implement enterprise controls such as authentication, authorization, permission-aware retrieval and secure data handling.
Improve answer quality and reliability through grounding, hallucination mitigation, traceability and measurable evaluation.
Troubleshoot issues across ingestion, retrieval, model behavior, application logic, integration and infrastructure.
After onboarding, support technical discovery, feasibility assessment, PoC planning and rough estimation.
Grow into the LLM / Chatbot Technical Owner, contributing reusable components, solution reviews and mentoring.
Qualifications
Bachelor's degree in Computer Science, AI, Engineering, or a related field.
5+ years of Software Engineering / AI Engineering experience preferred, candidates with 4+ years may be considered with proven production ownership.
3+ years of hands-on AI/ML experience, including 2+ years of recent experience in GenAI / LLM / RAG preferred.
Strong Python and software engineering fundamentals, with experience building production-ready solutions beyond notebooks or prototypes.
Hands-on experience with at least one end-to-end RAG, enterprise chatbot, or comparable LLM application.
Solid understanding of RAG and information retrieval, including chunking, embeddings, vector/hybrid search, metadata filtering, and reranking.
Experience with backend/API integration, Linux, Git, and Docker.
Comfortable with production deployment, monitoring, and troubleshooting, not limited to development activities.
Good communication skills with the ability to clearly explain architecture, technical trade-offs, risks, and limitations.
Nice to Have
Hands-on experience with advanced GenAI technologies, including open-source LLM serving (vLLM, TGI, Ollama), GPU inference, LoRA/PEFT, or model optimization.
Experience with AI platform deployment and operations, including Kubernetes, CI/CD, cloud or on-premises environments, AI observability, and evaluation tools.
Knowledge of enterprise AI security and architecture, such as RBAC, tenant isolation, and permission-aware retrieval.
Experience building Agentic AI, workflow orchestration, human-in-the-loop systems, or Document AI / Intelligent Document Processing (IDP) solutions.
Experience working directly with customers through technical workshops, discovery, solution consulting, or technical pre-sales.
Experience delivering multilingual enterprise AI solutions, particularly for Vietnamese, English, or Japanese use cases.
What we offer?
Attractive salary, suitable for working capacity
Review performance twice a year (In working process, Candidate can be reviewed continuously before the term if the job is successfully completed)
Vị trí Generative AI Engineer do công ty Bnk solution - Công Ty Cổ Phần Giải Pháp BNK tuyển dụng tại Hồ Chí Minh, Joboko tự động tổng hợp mức lương Thỏa thuận, tìm thêm việc làm về Generative AI Engineer hoặc công ty Bnk solution - Công Ty Cổ Phần Giải Pháp BNK ở các link phía trên