ABOUT US

At Kili Technology, our mission is to empower businesses to transform unstructured data into high-quality data to dramatically accelerate the build of reliable AI.

To keep growing our data-centric AI platform, we’ve secured over $30 million from tier 1 VCs (Serena Capital, Headline, Balderton) and support from top business angels (CEO Algolia, CEO Datadog, and others..)

Our platform helps organizations such as SAP, Louis Vuitton and Airbus to accelerate their Machine Learning projects with excellent quality training data.

At Kili Technology, we live and breathe our valued behaviors! 💫

We are a team of collaborative hustlers, ambitious learners, and ownership champions. We obsess over our customers, think pragmatically, and make data-driven decisions. If you're excited about a fast-paced, flexible environment where growth is celebrated and every day brings new possibilities, join us on this exciting journey 🚀.

We are working on a new product named DeepIP, that is helping patent agents or attorneys in the process of drafting patent applications. This product leverages the latest advances in AI, like foundation models, to accelerate the fundamental steps involved in building these patent applications.

We are looking for a Senior Machine Learning Engineer to join our team.

ABOUT THE ROLE 

As an AI Software Engineer, you will be responsible for developing and maintaining AI systems, ensuring they are reliable, efficient, and aligned with end-user needs. You will join a team of other AI software engineers, work on an already well-designed AI stack, and contribute to making the most advanced IP assistants available on the market!

Key responsibilities :

• Implement and manage LLM APIs
• Conduct LLM input and output post-processing
• Leverage advanced prompt engineering techniques like RAG and function calling when needed
• Serve and call custom AI models
• Implement guardrails to ensure system reliability
• Develop and integrate AI systems in Python (and possibly TypeScript)
• Implement communication between services for example through REST or NATS messages
• Conduct thorough testing and evaluation of AI models
• Participate in calls with end-users to increase product vision
• Implement CI/CD pipelines and ensure robust testing (TDD)
• Maintain high standards of code quality following Clean Architecture principles
• Ensure system observability and performance monitoring
• Serve and manage production-grade LLM responses
• Optionally, fine-tune models for specific applications as needed
• 5+ years of experience in software engineering
• A proven experience in complex backend development using Python or TypeScript
• Knowledge and experience with LLM SDKs and libraries (for example OpenAI, Claude, LiteLLM, Langchain)
• Familiarity with CI/CD, TDD, Clean Architecture, and observability practices
• Optional skills: knowledge of search systems, experience in Machine Learning / Deep Learning (particularly with NLP and/or Vision), knowledge of the Intellectual Property field, Domain Driven Design.