Llm Engineer
Vor 3 Tagen
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 RoleDesign, 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.ResponsibilitiesWork 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 & ExperienceProven 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 StackCloud: 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.Enjoy career growth opportunities in a collaborative and innovative environment.Competitive salary, benefits, and equity options. #J-18808-Ljbffr
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