Ai-Driven Backend Senior Engineer

Summary

Join Luzmo, a rapidly growing embedded analytics platform, as an AI Engineer. You will leverage your expertise in Large Language Models (LLMs) to design, develop, and integrate AI-driven solutions. This hands-on role requires a Master's or PhD in a relevant field and 3+ years of backend development experience, preferably with Node.js. You will collaborate with cross-functional teams, optimize model performance, and contribute to architectural decisions. Luzmo offers a competitive salary, flexible holiday policy, remote work possibilities, and a supportive engineering team.

Requirements

• Hold a Master’s or PhD in Artificial Intelligence, Computer Science, Machine Learning, or a related field
• Demonstrate a strong understanding of AI concepts, particularly LLMs and their usage in production
• Possess familiarity with AI/ML frameworks or APIs
• Understand performance tuning and cost optimization for AI models
• Have 3+ years of experience in backend development, preferably with Node.js
• Possess experience with testing of AI based features
• Have experience with cloud platforms (AWS, Google Cloud, or Azure) and containerization (Docker, Kubernetes)
• Possess working knowledge of SQL and databases (relational and column stores)
• Demonstrate familiarity with AI ethics, bias mitigation, and explainability in AI models
• Possess strong problem-solving skills and the ability to work in a fast-paced environment
• Possess excellent communication and teamwork skills
• Possess solid English communication skills (written & spoken)

Responsibilities

• Integrate AI/LLM models into product workflows (OpenAI, Hugging Face, etc.)
• Optimize AI model performance (latency, cost, throughput)
• Design, build, and maintain backend APIs and services using Node.js
• Build internal tools and APIs for experimentation and prototyping
• Ensure system reliability, scalability, and observability
• Stay up to date with the latest advancements in AI/ML (LLMs, vector databases, LangChain, etc.)
• Contribute to architectural decisions around AI infrastructure and backend systems
• Collaborate with cross-functional teams to understand business needs and deliver AI-driven insights

Preferred Qualifications

• Have experience in fine-tuning and optimizing LLMs for specific tasks
• Understand MLOps and CI/CD pipelines for AI model deployment
• Have contributions to AI research or open-source projects
• Possess knowledge of RUST

Benefits

• An exciting scale-up environment with growth opportunities
• Shaping the analytics experience of the future
• Coaching by a great engineering team
• Competitive base salary
• Flexible holiday policy
• Remote working possibilities
• International get-togethers
• The equipment/software/tech that you need to do your job