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AI Engineer LLM, RAG, Python

EPAM Vietnam · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
Kỹ thuật / Cơ khí
Mức lương
Thương lượng
Địa điểm
Quận 1, Hồ Chí Minh, Hồ Chí Minh

Tổng quan

  • Design and develop LLM-powered applications, including multi-agent systems (e.g., chatbots and agentic workflows) with prompt orchestration, tool/function calling and reliable multi-step coordination
  • Build retrieval-augmented generation (RAG) capabilities: data ingestion, chunking, embedding/indexing, vector search, reranking and citation/attribution to improve answer grounding
  • Develop and maintain data pipelines that curate and govern external knowledge sources used by LLM applications (ensuring freshness, quality and access control)
  • Improve model and system performance through prompt optimization, dataset curation, lightweight adaptation (e.g., LoRA/PEFT) and selective fine-tuning where appropriate
  • Implement and operate LLMOps practices: deployment, monitoring/observability, evaluation, incident response and iterative optimization for quality, latency and cost
  • Collaborate with ML engineers and data scientists to integrate LLM systems into existing products and services (APIs, platforms and downstream applications)
  • Track relevant advances in the LLM ecosystem and translate them into measurable improvements in our production applications
  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Data Science or a related field (or equivalent practical experience)
  • 3+ years of experience in AI Engineer, Machine Learning, or related engineering roles
  • Strong proficiency in Python and experience building production-grade services (APIs, async jobs, testing and CI/CD)
  • Experience with LLM frameworks and tooling (e.g., LangChain/LangGraph, LlamaIndex) and modern LLM integration patterns
  • Proven experience in developing LLM applications and improving them via systematic experimentation (prompting, RAG tuning, dataset iteration and/or fine-tuning with PEFT)
  • Strong evaluation mindset with the ability to define success metrics and run offline/online evaluations (e.g., groundedness/faithfulness, relevance, retrieval metrics, win-rate, human review and A/B tests)
  • Experience in deploying models and LLM applications in production environments (containers, cloud services, scalable architectures and monitoring)
  • Familiarity with responsible AI and security practices (privacy, access control, prompt injection defenses and guardrails/policy-aligned behavior)
  • Clear communication and collaboration skills in English
  • You'll work with the latest and most advanced technologies on exciting global projects with a supportive multicultural team where your voice matters
  • We prioritize a healthy work-life balance with a flexible hybrid working model and generous annual leave of up to 19 days.
  • We offer a transparent career path and an individual roadmap to engineer your future and accelerate your journey
  • Our commitment is to the well-being of our employees and their families by offering premium healthcare insurance for employees and 2 dependents, annual health checkup and 10 days of paid sick leave
  • At EPAM, you can find vast opportunities for self-development: access to over 25,000 online courses and libraries from industry leaders, English classes, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us.

Quyền lợi

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