Informacje o stanowisku

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. Our projects span a wide spectrum, primarily focused on Retrieval-Augmented Generation (RAG) but also extending to generative AI solutions. 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 worlds largest food and beverage companies, operating in 189 countries with over 2000 brands. The companys diverse portfolio includes products such as bottled water, dairy products, breakfast cereals, coffee, confectionery, frozen food, pet foods, snacks, and baby food.

• Masters 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.

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. Our projects span a wide spectrum, primarily focused on Retrieval-Augmented Generation (RAG) but also extending to generative AI solutions. 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 worlds largest food and beverage companies, operating in 189 countries with over 2000 brands. The companys diverse portfolio includes products such as bottled water, dairy products, breakfast cereals, coffee, confectionery, frozen food, pet foods, snacks, and baby food.

,[Developing, fine-tuning, and optimizing Retrieval-Augmented Generation (RAG) workflows, including the integration of generative AI models and algorithms with retrieval systems., Collaborating with cross-functional teams to gather requirements, define project objectives, and align AI solutions with business needs, ensuring seamless integration of RAG-based technologies., Conducting research on state-of-the-art advancements in retrieval systems, generative AI, machine learning, and deep learning techniques, and identifying opportunities to leverage these technologies in our products and services., Designing and implementing scalable and efficient pipelines for indexing and retrieving structured and unstructured data to support high-performance RAG solutions., Creating comprehensive documentation, including technical specifications, guides, and presentations, to clearly communicate complex AI concepts and workflows to both technical and non-technical stakeholders., Establishing and maintaining best practices and organizational standards for the development, deployment, and evaluation of RAG and generative AI models. Requirements: Azure, Python, ML, Deep learning, Elasticsearch, LLMs, RAG, CI/CD Tools: . Additionally: Flexible working hours and remote work possibility, Paid vacation, Paid sick leaves, Mentoring program, Medical insurance, Training budget, Life insurance, English lessons, Compensation of Certifications, Active tech community, International team, Referral program, Cafeteria, Free coffee, Kitchen, Friendly atmosphere, Modern office.

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