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

Job ID:

J01787

Status:

Close

Related Job:

Backend Engineer

Ho Chi Minh - Viet Nam

Product

  • Typescript
  • NodeJS
  • Python
  • AI

Build the core gateway: a unified, OpenAI-compatible API in front of multiple providers (OpenAI, Anthropic, Google, plus self-hosted and OSS models). Own provider routing and reliability: load balancing, automatic failover, and cost and latency-aware routing. Build billing and metering that is correct, not approximate: per-request token accounting, usage ledgers, cost attribution per team, user, and key, budgets, and spend limits. Ship org controls: API key management, per-team and per-user quotas, rate limiting, and RBAC. Handle streaming and performance: low-overhead proxying, streaming responses, connection handling, and caching where it helps. Contribute to the Jan Agent and connect it to the router: route its model and tool calls through the gateway, and make agent traffic first-class in metering, controls, and observability. Make deliberate speed-versus-correctness calls: move fast where iteration is cheap, refuse to cut corners where a bug means a bad charge or a leaked key, and pay down debt on your own initiative.

Negotiation

View details

AI Transformation Lead

Ho Chi Minh - Viet Nam

Outsource

  • AI

Develop a 3-year AI transformation roadmap aligned with business goals in IT outsourcing, product development, and ODC services. Prioritize highest-impact AI use cases in the organization using a build-vs-buy-vs-partner framework. Establish AI governance for model selection, cost management, data privacy, IP protection, and ethical AI guidelines. Implement AI-assisted development workflows for 1,000+ engineers, including AI code generation, review, automated testing, and AI-powered debugging. Drive adoption of AI orchestration platforms to automate repetitive engineering tasks. Create internal AI skills/training programs and a culture of continuous AI experimentation. Measure and report on productivity gains, quality improvements, and time-to-market acceleration from AI adoption. Collaborate with product teams to define AI features for various products. Lead the development of AI Copilots, intelligent assistants, and autonomous agents embedded within products. Guide the architecture of an Ontology-Based AI ERP/MES Platform, including Knowledge Graphs, GraphRAG, and Multi-Agent Systems. Identify new AI-powered product opportunities in logistics, manufacturing, and supply chain to create new revenue streams. Advocate for AI internally, communicate the vision, celebrate wins, and address concerns across all levels. Partner with HR to define new AI-focused roles and refine hiring criteria. Collaborate with ODC/Client Delivery teams to package and sell AI capabilities to existing and new clients. Represent the company externally in conferences, thought leadership, and talent branding to position the company as an AI leader in the IT services industry.

Negotiation

View details

Head of Engineering - Marketing Technology

Ho Chi Minh - Viet Nam

Product

  • Management

Develop an integrated roadmap for strategic execution based on the organization's strategic aspirations and lead the implementation process from planning to delivery. Manage multiple engineering teams throughout the organization to achieve desired outcomes, hence having knowledge of the organization's specific areas of operation is an advantage. Collaborate closely with business teams and product owners to verify requirements before and after delivery through showcases and post-production monitoring. Take responsibility for both the development and operation of applications in production, providing active operational support and establishing a clear support model with a focus on site reliability engineering. Direct and oversee the implementation of cybersecurity updates, including keeping software versions current and patching infrastructure regularly. Oversee investment allocation across the organization to maintain alignment, ensure effective spending, and offer insights on the effectiveness and prioritization of investments. Integrate engineering excellence with domain expertise in marketing while pursuing strategic technology objectives.

Negotiation

View details