Senior AI/GenAI Solution Engineer

We are seeking an AI Engineer to help us build and expand our portfolio of AI projects. The role involves contributing across the entire project lifecycle, from initial estimation and requirement gathering in collaboration with business analysts and engineering teams, to implementation and delivery. We are looking for someone experienced in working with large language models (LLMs), capable of handling tasks like indexing and processing large-scale unstructured and structured data. This is an exciting opportunity to work on cutting-edge AI initiatives that leverage advanced models and drive innovative solutions for diverse use cases.

Our customer is one of the world's largest food and beverage companies, operating in 189 countries with over 2000 brands. The company's diverse portfolio includes products such as bottled water, dairy products, breakfast cereals, coffee, confectionery, frozen food, pet foods, snacks, and baby food.

Responsibilities:

• Developing, fine-tuning, and optimizing workflows that leverage large language models (LLMs) and generative AI, focusing on their seamless integration with advanced retrieval and data processing systems.
• Collaborating with cross-functional teams to gather requirements, define project objectives, and align AI solutions with business needs, ensuring smooth implementation of LLM-based technologies.
• Conducting research on cutting-edge advancements in generative AI, machine learning, and retrieval systems, identifying opportunities to enhance our products and services with these technologies.
• Designing and implementing scalable pipelines for processing and retrieving structured and unstructured data, ensuring efficient support for high-performance AI solutions.
• Creating clear and comprehensive documentation, including technical specifications and presentations, to effectively communicate complex AI workflows to both technical and non-technical stakeholders.
• Establishing and promoting best practices for the development, deployment, and evaluation of LLM-driven AI models and solutions.

Requirements

• Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
• Strong background in machine learning, deep learning, and generative models.
• Conversational English level (B2+).
• Experience in Azure, AWS or GCP.
• Proficiency in programming languages such as Python
• Experience with search frameworks (e.g., Elasticsearch) and vector databases (e.g., Pinecone).
• Practical experience with LLMs and RAG workflows.
• Proficiency in handling large structured and unstructured datasets.
• Knowledge of embedding generation tools (e.g., SentenceTransformers).
• Familiarity with CI/CD pipelines and cloud platforms.