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 largescale unstructured and structured data. This is an exciting opportunity to work on cuttingedge 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.
Responsibilities:
- Developing finetuning 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 crossfunctional teams to gather requirements define project objectives and align AI solutions with business needs ensuring smooth implementation of LLMbased technologies.
- Conducting research on cuttingedge 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 highperformance AI solutions.
- Creating clear and comprehensive documentation including technical specifications and presentations to effectively communicate complex AI workflows to both technical and nontechnical stakeholders.
- Establishing and promoting best practices for the development deployment and evaluation of LLMdriven AI models and solutions.
Requirements
- 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 offer*:
- Flexible working format remote officebased or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program tech talks and trainings centers of excellence and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other locationspecific benefits
*not applicable for freelancers
Required Experience:
Senior IC