Lead AI Engineer

ABOUT CLIENT

Our client is a big fintech company from Japan

JOB DESCRIPTION

Creating AI Models and Algorithms:
Develop artificial intelligence systems through the creation and implementation of algorithms.
Work on tasks like speech recognition, image processing, and decision-making processes within business applications.
Integrating AI Solutions:
Deploy AI solutions that integrate with existing business systems to enhance functionality and user interaction by writing code, deploying models to production, and continuously monitoring and updating them as needed.
Managing Data Flow and Infrastructure:
Handle the data flow and infrastructure necessary for effective AI deployment, including managing data pipelines, storage, and processing resources.
Generative AI:
Collect and preprocess data to ensure suitability for training generative models, handle large datasets, and augment data to ensure high data quality.
Fine-tune hyperparameters and deploy generative models into production environments.
Stay updated with the latest advancements in generative AI, machine learning, and related fields.
Collaboration:
Collaborate with other teams to align AI initiatives with organizational goals, emphasizing effective communication and teamwork for successful AI implementation.

JOB REQUIREMENT

Completion of a Bachelor's degree or higher in Computer Science or a related field.
Minimum 3 years of experience in machine learning, deep learning, NLP, and computer vision.
Knowledge of AI frameworks like TensorFlow or PyTorch.
Strong programming skills in languages such as Python, with a background in AI frameworks like OpenAI's GPT, Copilot, or similar.
Demonstrated ability in designing and improving prompts for AI applications.
Preferred expertise in Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) techniques.
Proficient in English communication.

WHAT'S ON OFFER

Benefits for Employees:
Employees have the flexibility to work two days in the office and three days from home
Work hours are flexible, with the option to start between 8AM-9AM from Monday to Friday
Full salary during the probation period
Eligibility for various insurance benefits, including social, health, and unemployment insurance, as well as private health and accident insurance
Additional perks such as a 13th-month salary, 16-24 paid days off, and paternity leave
Opportunities for annual company trips, quarterly team building activities, and participation in billiards and running clubs
Access to an annual health check and well-equipped facilities, including a MacBook Pro and additional monitor
Career Growth and Development Support:
Clearly defined career paths for employees
Sponsorship for foreign language and international technology-related certifications
Access to both internal and external training courses, soft-skill workshops, and tech seminars
Recognition awards and biannual performance and salary reviews (in June and December)

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

AI

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01594

Status:

Close

Related Job:

Android Engineer (Java/Kotlin)

Ho Chi Minh - Viet Nam

Product

  • Android

Develop Android App part of various Services Develop new services and improve structures Analyze and apply new technologies to services

Negotiation

View details

C++ Engineer - Market Data

Ho Chi Minh, Ha Noi - Viet Nam

Product

  • C/C++

Maintain/enhance our legacy C++-based tick data processing platform as needed, demonstrating product ownership, and helping migrate datasets to our new tick data processing platform. Contribute to our new, modern C++-based tick data processing platform - enhancing the platform to support additional tick data feeds across asset classes, developing/reviewing the implementation of tick data-based interval features/statistics, and adding new functionality to the platform all while maintaining high software standards and best practices. Collaborate with the Research and Portfolio Management organizations to facilitate the transition from our legacy platform to our new platform, supporting their price volume data needs for signal generation.

Negotiation

View details

AI-Native Software Engineering Lead

Ho Chi Minh - Viet Nam

Outsource

  • Backend
  • AI

Responsible for developing and evolving the AI-native SDLC operating model, including agent workflow designs, verification gates, context management standards, and evaluation frameworks Build and lead multi-agent systems using orchestration layers such as Claude Code, GitHub Copilot Workspace, Cursor, LangGraph, CrewAI, or equivalent, from prototype to production Collaborate with the Director of Engineering to contribute to and maintain the company's AI toolchain selection criteria and evaluate tools with engineering rigor, providing internal guidance on when AI is beneficial and when it is not Establish engineering standards, agent evaluation loops, and AI output quality gates across the delivery organization Previous experience in a lead, principal, or staff engineer role with demonstrated cross-team influence Experience in outsourcing, consulting, or multi-client delivery environments Track record of building or leading an internal community of practice, guild, or AI adoption program Develop and continuously evolve the company's AI-native SDLC playbook, including standards, workflow templates, case studies, and guardrails that delivery teams can adopt immediately Design and lead internal upskilling programs that transition engineers from AI-assisted to AI-native working patterns Keep track of the AI capability frontier, model improvements, new agent frameworks, and emerging risks, translating signals into timely updates to client practices Work closely alongside Delivery Teams as an AI transformation advisor and execution partner, identifying the highest-value automation opportunities across the SDLC and coordinating with the team to implement them Design and deploy agent-orchestrated workflows tailored to each client's stack, team maturity, and delivery context, with measurable ROI Build business cases for AI-native adoption with clients and account managers, framing the value in terms of velocity, quality, and cost Represent the company's AI-native engineering capabilities in client conversations, QBRs, and RFP responses as a credible technical authority

Negotiation

View details