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Senior AI Engineer

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Onsite

Senior AI Engineer

Larion

Senior AI Engineer

Skills

Google Cloud PlatformSQL QueriesDeep LearningData MiningPythonMachine LearningAIAWSKubernetesBusiness DevelopmentAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Ho Chi Minh City, Vietnam

Work mode:

Onsite

Published on:

31 August 2026

What they need


Software Engineering, AI Engineering

Full Time

Ho Chi Minh

LARION is a global software outsourcing partner with nearly two decades of experience delivering high-quality software development services to clients worldwide. We help businesses accelerate digital transformation through dedicated development teams, custom software development, AI solutions, and technology consulting.

We are looking for a Senior AI Engineer to design, build, and deploy production-grade AI applications. The role requires strong software engineering fundamentals combined with hands-on experience in LLM applications, RAG, agentic systems, AI evaluation, and production AI systems.

The ideal candidate can take AI solutions from prototype to reliable production systems, make sound technical trade-offs, and contribute to the technical direction of the AI engineering team.

I. What You’ll Do

  • Design and develop production-grade LLM-powered applications and AI services.
  • Build and optimize RAG and data-grounding solutions, including vector search, hybrid retrieval, reranking, knowledge graphs, and structured data retrieval.
  • Design and implement agentic systems and workflows, including tool calling, multi-step reasoning, memory, context management, and agent orchestration.
  • Develop evaluation frameworks and regression testing for AI systems, using deterministic evaluations, LLM-as-a-judge, and human-in-the-loop approaches where appropriate.
  • Analyze model outputs, traces, and failure cases to drive evaluation-driven development and continuous improvement.
  • Design AI systems for production reliability, scalability, security, observability, cost, and latency.
  • Implement monitoring and observability for AI applications, including model performance, latency, cost, failures, and potential security risks.
  • Select and evaluate appropriate LLM/model architectures and AI techniques based on business and technical requirements.
  • Apply machine learning and deep learning fundamentals when developing or integrating AI/ML solutions.
  • Collaborate with Product, Data, Software Engineering, and other stakeholders to translate business requirements into scalable AI solutions.
  • Provide technical guidance and mentorship to other engineers and contribute to engineering standards and best practices.

II. Job Qualifications

1. Must-have

  • Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field,
  • 6+ years of professional software engineering / AI engineering experience, with significant hands-on experience building AI-powered applications.
  • Strong proficiency in Python and solid software engineering fundamentals, including system design, API development, testing, debugging, and design patterns.
  • Strong hands-on experience with LLMs and Generative AI applications.
  • Practical experience with RAG, embeddings, vector databases, information retrieval, and data grounding techniques.
  • Experience designing and implementing agentic workflows or AI agents.
  • Experience with at least one major AI/LLM framework such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent.
  • Understanding of LLM fundamentals, including context windows, tokenization, sampling parameters, model selection, tool calling, and model limitations.
  • Experience building AI evaluation and testing processes, including error analysis and regression testing.
  • Experience deploying and operating AI applications in production environments.
  • Good understanding of cloud, containers, CI/CD, monitoring, and observability.
  • Strong understanding of databases and data processing, including experience with SQL and/or NoSQL databases.
  • Good understanding of machine learning fundamentals, including model evaluation, bias/variance, data quality, and error analysis.
  • Strong problem-solving and technical communication skills.
  • Ability to produce clear technical documentation (architecture, runbooks, handover documents) and communicate effectively in English.

2. Nice-to-have

  • Experience with multi-agent systems, MCP, tool-use, or computer-use agents.
  • Experience with knowledge graphs, semantic layers, or hybrid retrieval.
  • Experience with multimodal AI, including vision, speech, or document intelligence.
  • Experience with fine-tuning, model optimization, quantization, distillation, or self-hosted LLMs.
  • Experience with AI security, including prompt injection, data leakage/exfiltration, guardrails, and AI governance.
  • Experience with MLOps / LLMOps and production monitoring.
  • Experience optimizing AI systems for cost and latency at scale.
  • Experience with Kubernetes and cloud platforms such as AWS, Azure, or GCP.
  • Experience working in enterprise or regulated environments

III. Why You’ll Love Working Here

1. Workplace

  • Work with international clients across diverse industries while contributing to cutting-edge software and AI transformation projects.
  • Expand your expertise in B2B technology marketing, demand generation, AI-powered marketing, and global business development.
  • Join an organization embracing AI Transformation and continuous innovation to create meaningful business impact.

2. Benefits Comprise

  • Competitive compensation: 13th-month salary and performance bonuses.

  • Comprehensive healthcare coverage, including accident insurance.

  • Generous allowances: lunch, marriage, newborn, bereavement, and more.

  • Fully equipped pantry for a comfortable lunchtime experience.

  • Diverse sports and social activities: Yoga, football, badminton, tech clubs, charity,

    etc.

  • Annual company trip and team-building events.

  • Recognition awards: Quarterly, annual, individual, team, and long-term service

    honors.

  • Advanced English and soft skills training for career growth.

  • Engaging monthly events: Happy gatherings, mini-games, team birthday

    celebrations, year-end party, and more.

  • Exclusive company support funds for personal loans (home, vehicle, tuition, etc.).

  • Full provision of working equipment and tools required for your role.

IV. Additional Information

  • Location: QTSC1 Building, Quang Trung Software City, Trung My Tay Ward, (District 12), Ho Chi Minh City
  • Working Hours: Monday to Friday: 08:30 AM – 06:00 PM (with a 1.5-hour lunch break).

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