Machine Learning Engineer

Nuage Recruitment has partnered with a high-growth, product-based startup that is transforming its industry through innovative AI-driven solutions. This rapidly scaling company is seeking a talented LLM Engineer to join their team and lead the development of cutting-edge systems powered by large language models (LLMs). If you’re passionate about working with advanced AI technologies, building retrieval-augmented generation (RAG) frameworks, and driving continuous improvement, this is an exciting opportunity to make a real impact.

The Role

• Design, develop, and optimize systems powered by large language models to meet specific business objectives.
• Build retrieval-augmented generation (RAG) frameworks to enhance product intelligence and performance.
• Develop robust evaluation systems to monitor model quality and drive iterative improvements against key KPIs.
• Collaborate with cross-functional teams, including product, marketing, and stakeholders, to align AI solutions with business goals.
• Own the end-to-end delivery of AI-driven features, including testing and ongoing enhancements to meet user needs.

Responsibilities

• Work closely with stakeholders to understand user requirements and translate them into scalable AI solutions.
• Continuously monitor and refine LLM systems to ensure optimal performance and alignment with evolving business needs.
• Experiment with and implement state-of-the-art methodologies to improve AI model performance and reliability.
• Collaborate with the broader team to prioritize and deliver impactful features on time.

Skillset & Experience

• Proven experience deploying and optimizing large language models in production environments.
• Hands-on expertise in designing and implementing retrieval-augmented generation (RAG) systems.
• A strong background in building evaluation frameworks and improving AI systems iteratively.
• Familiarity with cloud platforms such as Google Cloud Platform (GCP) or similar environments.
• Adaptability and a problem-solving mindset to thrive in fast-paced, high-ambiguity situations.

Technical Stack

• Cloud: Google Cloud Platform (GCP).
• AI Models: Large language models, RAG systems, and advanced AI technologies.
• Experience with AI tools such as TensorFlow, PyTorch, Scikit-learn etc.

Why Join?

• Be part of a fast-growing, high-impact startup that values creativity, autonomy, and meaningful contributions.
• Work on cutting-edge AI projects that solve real-world problems and directly shape the company’s success.
• Recent large-scale investment
• Enjoy career growth opportunities in a collaborative and innovative environment.
• Competitive salary, benefits, and equity options.