Senior Machine Learning / Large Language Model Engineer at Penguin Formula

WeCookiT is an international software house that delivers software development to its corporate customers by providing highly skilled, communicative IT professionals to build their customized products through outsourcing, nearshoring and turn-key projects’ solutions.

How do we differentiate ourselves? By investing in the professional growth and personal care of our software developers. We provide them with a premium service so that they can do the same for our customers.

Our talented team holds software engineers and sales experts, spread across offices in Europe and South America, and we represent a go-getting and driven company who aims to be an inspiring software house, knowing our future relies on IT.

WeCookiT stand for growth, support, dynamic, companionship and communication. Our head office is located in Portugal in the heart of Lisbon (Avenida da Liberdade) and we work mainly for the European market.

Position: Senior Machine Learning / Large Language Model Engineer
Duration: 6 months (part-time)
Hours: Ideally 15 hours per week / 60 hours per month
Location: Candidates must be located within the European Union or have already relocated to E.U. countries from Ukraine, CIS, Balkans, Asia, or Africa. Due to data sensitivity, only E.U.-based candidates are eligible.
Flexible Working Hours: Clients may adapt working time according to experience and rate.

We are seeking a Senior Machine Learning Engineer specializing in Generative AI to work on a cutting-edge health chatbot project. The ideal candidate will have extensive experience in Large Language Models (LLMs), Generative AI tools, and Retrieval-Augmented Generation (RAG) systems. This part-time role offers the opportunity to contribute to impactful AI solutions, collaborating within a team while maintaining flexibility.

Key Responsibilities

• Design, develop, and deploy Generative AI solutions using state-of-the-art LLM technologies.
• Build and optimize RAG pipelines for enhanced information retrieval.
• Develop scalable APIs using FastAPI for AI service deployment.
• Integrate knowledge bases and vector databases using frameworks like LangChain and LlamaIndex.
• Implement and monitor performance metrics for AI models and systems.
• Collaborate with cross-functional teams to integrate AI solutions.
• Ensure all systems meet security and compliance requirements.

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• Experience: At least 5 years of professional experience in Machine Learning/AI development.
• Technical Skills:
  • Proficiency in Python programming.
  • Experience with GenAI tools/frameworks: LangChain, LlamaIndex, and RAG systems.
  • Familiarity with ChatGPT/OpenAI APIs and prompt engineering.
  • Expertise in building RESTful APIs using FastAPI.
  • Solid understanding of SQL databases and version control systems like Git.
• MLOps:
  • Model deployment and optimization.
  • Monitoring and scaling ML systems.

Preferred Skills

• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with container technologies like Docker and Kubernetes.
• Understanding of vector databases (e.g., Pinecone, Weaviate).
• Knowledge of ML monitoring and observability tools.
• Contribution to open-source projects.

If you are looking for a fast-paced multinational company and have a desire to be part of the exciting state-of-the-art projects across Europe, send us your application in English.

We’re looking forward to hearing from you!