Chi tiết công việc Senior AI Engineer (Remote) tại LTS Group
We are looking for a Senior AI Engineer to design, build, and deploy production-grade AI agent systems while helping establish a new standard for AI-assisted software development.
In this role, you will work closely with technical leadership to turn early-stage AI capabilities into reliable, scalable production systems. You will take ownership of the full engineering lifecycle, from architecture and implementation to evaluation, deployment, monitoring, and continuous improvement.
Beyond product engineering, you will help shape how modern engineering teams operate with AI coding agents. This includes designing development workflows where AI agents assist with requirements analysis, technical planning, implementation, testing, and code review, while engineers maintain ownership of architecture, quality, and production outcomes
Key responsibilities:
Design, develop, and deploy production-grade AI agents using LLMs, tool calling, structured outputs, and workflow orchestration.
Build context engineering strategies that optimize relevance, retrieval, caching, token consumption, and progressive disclosure of tools and information.
Establish evaluation frameworks to measure agent reliability, output quality, performance, and cost across model and prompt changes
Develop and improve AI-assisted engineering workflows using tools such as Claude Code, Codex, and Cursor.
Design processes for agent-driven implementation, automated testing, code review, and quality assurance, with appropriate human oversight.
Build scalable full-stack applications and backend integrations using Next.js, TypeScript, PostgreSQL, and modern cloud infrastructure.
Implement robust error handling, fallback mechanisms, observability, and production monitoring.
Take end-to-end ownership of assigned features, including technical design, testing, documentation, deployment, and post-release support.
Collaborate directly with technical leadership to evaluate architectural decisions, identify engineering bottlenecks, and continuously improve development efficiency
REQUIREMENT
Strong software engineering fundamentals with proven experience delivering production applications independently.
- Hands-on experience shipping LLM-powered features to production, including structured outputs, function/tool calling, classification, and fallback strategies.
- Strong understanding of context engineering, including context selection, prompt optimization, retrieval strategies, caching, and token-cost management.
- Experience designing and implementing LLM evaluation frameworks, including test datasets, regression testing, quality metrics, and model comparisons.
- Proficiency in TypeScript, React, Next.js, and modern full-stack application development.
- Experience with PostgreSQL, Supabase, or comparable relational database technologies.
- Familiarity with API integrations, asynchronous processing, authentication, and production deployment practices.
- Practical experience using AI coding assistants such as Claude Code, Codex, or Cursor in real development workflows.
- Understanding of software architecture, automated testing, CI/CD, code review, and production observability.
Preferred Qualifications
- Experience building autonomous or semi-autonomous AI agent systems.
- Experience designing multi-agent workflows or agent orchestration architectures.
- Familiarity with AI-assisted development automation, including automated issue decomposition, implementation, testing, and code review.
- Experience with image/video generation systems, multimodal AI, or ComfyUI workflows.
- Familiarity with OpenRouter, Vercel, and modern LLM infrastructure.
- Experience optimizing LLM applications for latency, reliability, and inference cost.
- Experience working in early-stage environments where technical requirements evolve rapidly.
Professional Qualifications
- Strong ownership mindset, with the ability to take features from initial requirements through production release and ongoing maintenance.
- Ability to make sound architectural decisions independently and recognize when human review or escalation is necessary.
- Comfortable working alongside technical leadership as an engineering peer.
- Strong problem-solving skills, technical curiosity, and the ability to learn emerging technologies quickly.
- Clear written and verbal English communication, particularly in asynchronous, distributed environments.
- Willingness to take responsibility for production issues and provide urgent support when necessary.
BENEFIT
- Salary: Upto 65M Gross + Performance based award.
- Work on advanced AI systems: Build production AI agents and explore emerging approaches to agent orchestration, context engineering, and evaluation.
- AI-first engineering environment: Work with modern AI development tools and help establish engineering practices designed around human–AI collaboration.
- High technical ownership: Influence architecture, engineering standards, development workflows, and technology decisions from an early stage.
- Direct collaboration with technical leadership: Work closely with experienced technical decision-makers with minimal organizational overhead.
- Remote working arrangement: Work remotely with a distributed international team, with required overlap during US Central mornings.
- Professional growth: Gain hands-on experience with emerging agentic engineering practices, advanced LLM systems, and production AI infrastructure
