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).