Job description for AI Engineer at LTS Group
You will join our cross-functional AI team to build, fine-tune, and productionize AI applications that combine frontier LLMs, computer-vision models, and cloud-native services. The ideal candidate has shipped end-to-end solutions - from data curation and model training to scalable, secure deployments on AWS, GCP or Azure. We are building a culture within ASC that values ownership, experimentation, and open research.
Key responsibilities:
- Build Production AI Systems - Develop enterprise-grade AI applications: conversational systems, RAG solutions, document intelligence, multi modal applications, .... with modern frameworks. Responsible for building fine-tuning pipelines for Computer Vision models.
- Design Technical Architecture - Create effective AI engineering strategies, evaluation frameworks, middleware layers, and specialized caching systems for optimal performance. Technical analysis of business requirements to implement the application/system.
- Develop End-to-End Solutions - Build complete AI applications from scratch while also integrating with existing systems through APIs and service interfaces. Design, build, review reliable BE and FE code for Generative AI application which will be deployed in Cloud based or on Premises.Preparing a detailed project plan to schedule key project milestones, work streams & activities.
REQUIREMENT
- 3-5 years of AI/ML engineering, including at least ≥ 1 year each in LLM and computervision projects.
- Strong Python, PyTorch (or TensorFlow/Keras) and software-engineering best practices (testing, code review).
- Proven experience deploying models on at least one major cloud:
- AWS: SageMaker, EKS/ECS, S3, Lambda, CloudWatch.
- GCP: Vertex AI, GKE, Cloud Storage, Cloud Functions, Logging.
- Azure: Azure ML, AKS, Blob Storage, Functions, Monitor.
- Hands-on with MLOps tools: Docker, Kubernetes, MLflow/W&B, DVC, GitHub Actions (or similar).
- Working with knowledge of vector databases (FAISS, Milvus, Qdrant) and REST/gRPC micro-services.
- Bachelor’s in CS, EE, Applied Math or related field.Have deep knowledge about software development lifecycle.
Preferred Extras
- Built or maintained AI Applications: hybrid search systems, multimodal (visionlanguage) systems, CV-focused systems,..
- Experience with infrastructure-as-code (Terraform, Pulumi) and cost-optimisation on GPUs.
- Experience with efficient serving architectures (continuous batching, multi-GPU inference, distillation).
- Familiarity with security & compliance for AI applications(role-based access, PII redaction, audit logging).
- Able to communicate in English: self-introduction, interview, and presentation, discussion in SCRUM events
BENEFIT
- Salary: Upto 45M Gross + Performance based award.
- Involved in large projects in US/EU market.
- Young and dynamic working environment.
- Continuous development of hard and soft skills through work and professional training.
- Opportunity to approach the newest technology trends
- Salary review 1 times/year or on the excellent performance
- The company’s labor policy is entirely pursuant to Vietnamese labor legislation plus other benefits offered by the company (Company trips, holidays, etc.
