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AI Engineer (Vietnamese Only)

Globant

AI Engineer (Vietnamese Only)

Globant

Hanoi, Viet Nam, Viet Nam

·

On-site

·

Full-time

·

1w ago

At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.

We seek a AI Engineer who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era.

Kindly note that this position is open to Vietnamese candidates or candidates currently residing in Vietnam only.

Location: Vietnam (HN/DN/HCM)

WHAT WILL HELP YOU SUCCEED?

  • At least 4 years of experience as an AI Engineer or a similar role.

  • Proven experience developing AI solutions using AWS Bedrock, including work with models such as Claude, Titan, or Llama 3 via Bedrock APIs.

  • Hands-on, production-level experience with the Model Context Protocol (MCP).

  • Experience designing agentic architectures, multi-step reasoning systems, or autonomous AI pipelines that interact with structured enterprise data.

  • Strong Python and frameworks such as Lang Chain, Llama Index, Semantic Kernel, or CrewAI.

  • Experience integrating LLMs with data warehouses and data lakes (Redshift, S3, Glue, Athena, dbt).

  • Proficiency in prompt engineering, RAG (retrieval-augmented generation) pipelines, embedding models, and vector search systems (e.g., Pinecone, Open Search).

  • Familiarity with API development(FastAPI, Flask) and serverless orchestration (AWS Lambda, Step Functions).

  • Strong understanding of responsible AI principles, data governance, and system observability for LLM-based applications.

  • Good at English skills.

This job can be filled in Hanoi/Danang

  • Hybrid Working, Ho Chi Minh
  • Remote Full-time

Create with us digital products that people love. We will bring businesses and consumers together through AI technology and creativity, driving digital transformation to impact the world positively.

We may use AI and machine learning technologies in our recruitment process. Globant is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. Globant is also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Final compensation offered is based on multiple factors such as the specific role, hiring location, as well as individual skills, experience, and qualifications. In addition to competitive salaries, we offer a comprehensive benefits package. Learn more about life at Globant here: Globant Experience Guide.

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About Globant

Globant

A digitally native company that helps organizations reinvent and realize their full potential.

10,001+

Employees

San Francisco

Headquarters

Reviews

4.1

48 reviews

Work Life Balance

3.6

Compensation

4.3

Culture

4.1

Career

4.6

Management

3.9

78%

Recommend to a Friend

Pros

Cutting-edge technology stack and interesting technical challenges

Competitive compensation packages with equity

Opportunities for continuous learning and growth

Cons

Organizational changes and restructuring can be disruptive

Work-life balance can be challenging during product launches

Fast-paced environment with tight deadlines

Salary Ranges

46 data points

Junior/L3

Senior/L5

Junior/L3 · Data Scientist

0 reports

$51,292

total / year

Base

-

Stock

-

Bonus

-

$43,598

$58,986

Interview Experience

1 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Decision

Common Questions

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience