Senior AI Engineer (LLM)

Addepto is a leading consulting and technology company specializing in AI and Big Data, helping clients deliver innovative data projects. We partner with top-tier global enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. Our exclusive focus on AI and Big Data has earned us recognition by Forbes as one of the top 10 AI companies.

As a Senior AI Engineer, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:

• GenAI knowledge retrieval platform for the leading automotive company. This project involves the creation of an Azure-backed platform that leverages cutting-edge LLMs to deliver powerful insights from an enterprise-scale knowledge base. 
• AI recommendation engine for the leading innovation company. This project involves the design of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.
• AI optimization engine for airport operation management. This project involves creating an AI-driven optimization engine to streamline airport operations, using real-time data from sources like radar, air traffic, and passenger information.

🚀 Your main responsibilities: 

• Work closely with software engineers and data scientists to deliver production-ready solutions.
• Propose and evaluate state-of-the-art LLMs and generative AI solutions according to the business requirements.
• Take ownership of scalable ML architecture, including vector databases, search engines and AI models.
• Implement cutting-edge solutions tailored to specific needs – from proof of concept to scalable, customer-facing product.
• Consult the requirements and participate in technical discussions with the stakeholders, working in a global business environment.

🎯 What you’ll need to succeed in this role:

• Proficiency in Python (4+ years), algorithms and software design principles.
• Experience with prompt engineering, embeddings, LLM models, ChatBots, agent architectures and vector databases.
• Eager to research and experiment with new technologies, proving and prioritizing business objectives to reach production-ready outcomes (MLFlow, data visualization, presentation skills). 
• Familiarity with DevOps and MLOps practices, collaborative development, experiment tracking, CI/CD pipelines.
• Experience with cloud environments (AWS / GCP/ Azure) and serverless technologies.
• High level of ownership and ability to proactively propose efficient solutions.

🎁 Discover our perks & benefits:

• Work in a supportive team of passionate enthusiasts of AI & Big Data.
• Engage with top-tier global enterprises and cutting-edge startups on international projects.
• Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces. 
• Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.
• Choose from various employment options: B2B, employment contracts, or contracts of mandate.
• Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
• Participate in team-building events and utilize the integration budget.
• Celebrate work anniversaries, birthdays, and milestones.
• Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
• Get full work equipment for optimal productivity, including a laptop and other necessary devices.
• With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
• Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

Are you interested in Addepto and would like to join us?

Get in touch! We are looking forward to receiving your application. Would you like to know more about us?

Visit our website (career page) and social media (Facebook, LinkedIn, Instagram).