AI Engineer - Lightrun

At least 3 years experience in Python / TS working with AI/ML frameworks At least 5 years of backend experience with at least one additional programming language (Java / C# / Node.js / C++) At least 3 years experience working with database solutions (RDBMS, NoSQL, Vector) Proven experience with writing efficient and useful LLM prompts Proven experience building LLM-based solutions and integrating them into products Strong system and architecture design skills, particularly in designing LLM based systems Experience or at least substantial knowledge of GenAI technologies such as agentic flows, RAG, model fine-tuning / distilling, prompt engineering, context engineering Hands-on experience with cloud platforms and their AI/LLM services Experience working on a SaaS product - Advantage Experience working with customers and direct customers feedback - Advantage Experience using observability / profiling / remote debugging tools - Advantage Passionate about AI and up to date with industry trends - Advantage

Take part in the design and development of AI-driven features for our Dev-Native Observability Platform. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Contribute to the product roadmap by identifying AI opportunities and providing insights as a potential end user Stay updated with the latest AI trends and technologies to ensure our platform remains cutting-edge.

At least 3 years experience in Python / TS working with AI/ML frameworks At least 5 years of backend experience with at least one additional programming language (Java / C# / Node.js / C++) At least 3 years experience working with database solutions (RDBMS, NoSQL, Vector) Proven experience with writing efficient and useful LLM prompts Proven experience building LLM-based solutions and integrating them into products Strong system and architecture design skills, particularly in designing LLM based systems Experience or at least substantial knowledge of GenAI technologies such as agentic flows, RAG, model fine-tuning / distilling, prompt engineering, context engineering Hands-on experience with cloud platforms and their AI/LLM services Experience working on a SaaS product - Advantage Experience working with customers and direct customers feedback - Advantage Experience using observability / profiling / remote debugging tools - Advantage Passionate about AI and up to date with industry trends - Advantage