Lead AI Engineering

ABOUT CLIENT

Our client is a leading tech company specializing in artificial intelligence solutions

JOB DESCRIPTION

Providing technical leadership to a team of AI engineers, guiding the direction and fostering innovation.
Nurturing a strong culture that aligns with the organization's core values.
Establishing clear goals for the team and assessing performance against these objectives to drive continuous improvement.
Designing scalable AI architecture, infrastructure, and application stacks.
Collaborating with cross-functional teams to develop and implement AI solutions.
Researching a range of AI services/models to propose potential solutions for addressing diverse business needs.
Creating in-house AI solutions from scratch to address unique business challenges.
Applying existing AI models and optimizing them to effectively tackle specific problems.
Thoroughly evaluating different AI/LLM models to determine their suitability for meeting business requirements.
Converting well-known models into API services for both internal and product use.
Establishing, managing, and enhancing AI product infrastructure to ensure scalability and performance.

JOB REQUIREMENT

A Bachelor's Degree in Computer Science, AI, Software Engineering, or related fields
At least 4 years of experience in high-level architecture design and solution development for large-scale AI/ML systems
Experience leading a team of AI engineers, setting goals, and driving performance
Familiarity with AI/ML research tools and frameworks for evaluating, applying, and fine-tuning pre-trained models
Development and deployment experience with AI model APIs using frameworks such as Flask, FastAPI, or Django
Knowledge of Google Cloud Platform
Proficiency in artificial intelligence algorithms, statistics, and probability
Strong analytical and problem-solving abilities
Capability to assess and compare AI/ML models for their business suitability
Proficient in leading strategic discussions and aligning AI initiatives with business objectives
Excellent mentoring skills to guide team members and support their growth
Ability to delegate tasks effectively and ensure balanced workloads within the team
Skills in conflict resolution and managing interpersonal challenges to maintain a productive team environment
Experience in conducting performance reviews and providing constructive feedback.

WHAT'S ON OFFER

Regular performance reviews twice a year.
Full salary during probation period.
Monthly lunch allowance provided.
Various bonuses offered including bi-annual performance bonuses, 13th-month salary, and holiday bonuses.
Ample opportunities for professional development with a clear path for advancement and support for training and courses.
Modern and supportive work environment with scenic city views.
Emphasis on sharing culture and access to latest technologies, as well as a supportive team.
Employee-focused culture with well-equipped workstations, afternoon snacks, nap area, and a pantry filled with snacks and drinks, entertainment zone, and library.
Comprehensive benefits such as premium health check package, regular team building activities, and company trips.

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:

Machine Learning, AI

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Salary:

Negotiation

Job ID:

J01787

Status:

Close

Related Job:

Featured Job

Associate Manager – Software Engineer

Ho Chi Minh - Viet Nam

Product

  • Java
  • ReactJS

Drive architecture decisions for scalable full-stack and cloud-native systems. Promote best practices in system design, reliability, and observability. Lead delivery of key platform capabilities supporting: o Crew training and assessment (OCL) o Compliance systems (Track & Trace) o Restaurant monitoring and reporting (MRD) o Virtual restaurant assessments o Intelligent operational action systems for RGMs Collaborate with product and stakeholders to translate business needs into scalable solutions. Design and build scalable applications using React / React Native, Spring Boot, and NestJS. Develop reliable APIs and microservices supporting restaurant operational systems. Ensure high code quality through testing, code reviews, and performance optimization. Design and operate cloud infrastructure on AWS (EKS, Lambda). Implement CI/CD pipelines using GitLab CI. Ensure strong monitoring and system reliability using Datadog. Work closely with engineering and product teams across global locations to deliver platform capabilities. Analyze complex technical challenges and implement scalable solutions that improve platform reliability and operational efficiency.

Negotiation

View details

Technical Lead

Ho Chi Minh - Viet Nam

Product

  • NodeJS
  • Python

Leading the backend development team, providing technical direction, mentorship, and best practices. Designing and implementing scalable, secure, and high-performance microservices-based architectures. Architecting and implementing agentic AI workflows and RAG (Retrieval-Augmented Generation) systems for personalized user interactions and automated coaching features. Overseeing data pipelines and infrastructure required for real-time AI model inference within a microservices-based environment. Collaborating with stakeholders to align on requirements and delivery timelines. Optimizing application performance, monitoring system reliability, and proactively troubleshooting issues. Advocating for CI/CD pipelines, automated testing, and robust version control strategies. Documenting key architectural decisions, APIs, and processes for internal use.

Negotiation

View details

AI Product Builder

Ha Noi - Viet Nam

Product

  • AI
  • Backend
  • Frontend
  • Devops
  • Java
  • Golang
  • Product Management

Collaborate with domain experts to develop business requirements and constraints for designing prompt AI-assisted workflows and system specifications. Utilize AI tools, no-code/low-code, and coding to rapidly prototype UI/UX mockups and foundational implementations. Test prototypes through hypothesis validation cycles and provide detailed handovers to engineering teams. Decode legacy specifications and enhance existing products with AI-assisted analysis and implementation. Constantly enhance the product team's building-tooling, templates, and practices to adapt to changes in models and platforms.

Negotiation

View details