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We are looking for an AI Software Engineer with an AI-First mindset, focused on leveraging AI to optimize workflows, automate processes, and enhance applications. This role does not involve training models from scratch but instead focuses on implementing and integrating existing AI models and APIs into real-world applications.
Job Responsibility:
Configure and implement applications using Large Language Models (LLMs) and other Generative AI models
Integrate AI APIs and tools from providers like OpenAI, Anthropic, Google, Meta, Hugging Face, Stability AI, and others
Continuously improve and experiment with new AI architectures, frameworks, and best practices
Collaborate with development teams to incorporate AI-powered functionalities into the engineering processes and tools
Fully integrate into the team, participating in planning, reviews, and retrospectives while getting to know different departments within the company
Familiarize yourself with our tech stack, CI/CD workflows, and cloud infrastructure that support our operations
Have multiple Pull Requests (PRs) merged and running in production
Attend some of Fever’s original experiences, such as Candlelight
Be actively involved in AI-powered automation, improving processes and workflows across engineering and product teams
Work on integrating LLMs and AI APIs into internal and external applications, ensuring smooth adoption of AI capabilities
Implement prompt engineering strategies to optimize AI responses and performance
Participate in hackathons and innovation days, collaborating with cross-functional teams
Own multiple AI-powered projects, optimizing engineering productivity and automation
Experiment with new architectures, frameworks, and best practices to enhance automation
Mentor and guide other engineers on AI adoption, best practices, and effective implementations
Help shape Fever’s AI strategy, ensuring ethical and efficient AI deployment
Requirements:
Bachelor’s and/or Master’s degree in Artificial Intelligence, Data Science, Mathematics, Physics, or Engineering fields
Strong proficiency in Python
Hands-on experience with integration of LLM into existing or new applications
Experience applying Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning
Experience with Continuos integration and continuos deployment pipelines to take the code from development to production and monitoring
Nice to have:
Django/Flask
PostgreSQL
Redis
Celery with RabbitMQ
Experience working on agile methodology
Event communication between services
Handling services with more than 1000 request/second
AWS
Docker
Kubernetes
What we offer:
Opportunity to have a real impact in a high-growth global category leader
40% discount on all Fever events and experiences
Home office friendly anywhere in Spain
Relocation package for international candidates
Responsibility from day one and professional and personal growth
Great work environment with a young, international team of talented people to work with
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English Lessons
Gympass Membership
Possibility to receive in advance part of your salary by Payflow
Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance and Stock Options
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