Principal AI/LLM Solution Engineer

MONEY FORWARD VIETNAM CO.,LTD

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ETown Central Building, 11 Doan Van Bo, Ward 13, District 4, Ho Chi Minh

Hybrid

Posted 21 hours ago

Skills:

AI LLM Prompt Engineering Golang Python

Job Expertise:

AI / Machine Learning Engineer

Job Domain:

Financial Services

Top 3 reasons to join us

Hybrid working; Flexible time; Macbook Pro
L&D programs; 17 days off
13.7 million B2C users; 140,000+ business customer

Job description

Job Description

We are looking for an AI Solution Engineer with a strong foundation in large language models (LLMs), prompt design, and system integration — someone who can go beyond prompt tuning to design, build, and operate practical AI Agent systems that enhance and automate back-office workflows. Candidates for this position are expected to join the development team, understand the product and continuously research, and recommend AI features to realize AI product vision.

Design and develop AI or AI Agent engines to integrate sophisticated features into a workflow application SaaS for automating and enhancing back-office operations using LLMs.
Develop and iterate on high-quality prompts, prompt-chaining strategies, and evaluation pipelines.
Monitor agent behavior and system metrics to identify and mitigate hallucinations, performance degradation, or edge cases.
Evangelize and integrate tools, workflows, and development cultures to support rapid and responsible AI feature development.
Collaborate with backend, frontend, and infrastructure teams for seamless integration and delivery.
Share best practices with team members for prompt engineering, LLM integration, cloud AI tools utilization, and evaluation methodologies.
Take technical ownership of AI initiatives, leading cross-functional collaboration (BE/FE/AI/SRE), and driving system-level decisions

Your skills and experience

Requirements

Technical
- Must have
  - 5+ years of experience with Python (or Golang as an alternative).
  - 5+ years of Web application development.
  - Practical experience designing and optimizing prompts for LLMs in production environments.
  - Good understandings of:
    - Backend development (e.g., web frameworks, databases).
    - Cloud infrastructure (e.g., Azure, AWS, Terraform, serverless architecture).
    - MLOps pipeline.
  - Experience in:
    - Architectural design for multi-agent orchestration.
    - LLM orchestration frameworks like AutoGen, LangChain, and LlamaIndex.
    - RAG architecture and vector stores.
    - Integrating AI services from platforms like Azure AI Foundry, AWS Bedrock, or GCP Vertex AI.
- Nice to Have
  - Basic understanding of frontend development (e.g., TypeScript/React).
  - Familiarity with fine-tuning or instruction-tuning LLM models.
  - Understanding of AI system deployment from a security/compliance standpoint.
  - Exposure to IaC and CI/CD in production systems.
  - Experience in B2B application development.
  - Experience introducing traditional machine learning techniques and related ML pipelines to improve businesses.
Communication
- Strong English communication, both verbal and written.
- Experience in leading a project as a team leader.
- Experience in educating team members.
- Strong sense of ownership.