Search by job, company or skills

Money Forward Vietnam Co., Ltd

Principal AI/LLM Solution Engineer (Cloud Contract)

new job description bg glownew job description bg glownew job description bg svg
  • Posted 5 hours ago
  • Be among the first 10 applicants
Early Applicant

Job Description

Principal AI/LLM Solution Engineer (Cloud Contract)

Urgent

Ho Chi Minh

Tech/Engineer

We are looking for a Principal/Senior AI Systems Engineer with a deep mastery of Golang to architect and build the next generation of our back-office automation platform. You will be the bridge between sophisticated AI models and production-grade software. This role is not just about prompt tuning; it is about building the high-performance engines, concurrency patterns, and system integrations that allow AI Agents to operate reliably at scale.

  • Core Engine Development: Design and develop high-performance AI Agent engines in Golang, focusing on concurrency, low-latency execution, and scalable system architecture
  • AI Orchestration: Build robust prompt-chaining strategies and agentic workflows that integrate LLMs into our SaaS application.
  • System Reliability: Monitor agent behavior and system-level metrics in Go to identify and mitigate hallucinations or performance degradation.
  • Cross-Functional Leadership: Take technical ownership of AI initiatives, leading collaboration across BE/FE/SRE teams to drive system-level decisions.
  • Optimization: Bridge the gap between Python-based AI research and Go-based production environments, ensuring seamless model serving and data flow.

Requirements

Must have

  • 3 to 5 years of professional experience with Golang; a deep, idiomatic understanding of Goroutines, channels, and designing scalable, high-performance backend services.
  • 2+ years of experience with Python
  • 5+ years of Web application development.
  • Practical experience designing and optimizing prompts for LLMs in production environments.
  • Good understanding 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).
  • 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 in 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.

Our benefits

Caring Mental & Physical Recreation

  • Hybrid working: 2 days at the office and 3 days WFH
  • Working hour: Flexible start 8AM-9AM from Mon-Fri
  • Full salary in probation
  • Insurance: Applied from Probation period:
    • Social Insurance, Health Insurance, Unemployment Insurance (on 100% salary)
    • Private health insurance & accident insurance. From Managing level: extra for family members
  • Bonus: 13th month salary
  • 16 - 24 paid days off and more
  • Paternity leave: Extra 5 days
  • Annual company trip; Quarterly team building
  • Billiards & Running club
  • Annual health check
  • Well-equipped facility: Macbook pro, additional monitor,..
Caring Career & Development

  • Clear Career path
  • Foreign language & International technology-related certifications sponsoring
  • External & internal training courses
  • Soft-skill workshops
  • Tech seminars
  • Monthly and biannual Recognition Awards
  • Performance & salary review: twice/year (Jun & Dec)

Share on

Link copied!

More Info

Job Type:
Industry:
Employment Type:

Job ID: 144125801