Applied AI Engineer
Workplace: Stockholm, Sweden
Expires: August 27, 2025
As the Applied AI Engineer at Voi Technology, you will unlock the potential of Generative AI within the organization by applying it to real-world challenges to drive innovation and efficiency. You will develop frameworks and tooling to integrate Gen AI into products, build pragmatic production-ready AI solutions, collaborate across teams to create value through AI, ensure solutions are scalable, cost-efficient, secure, and stay updated with AI trends to shape AI adoption strategy.
Main requirements:
- Software engineering background, ideally in backend or ML development and system integration
- Experience using Generative AI and Large Language Model technologies in production (e.g., OpenAI, Claude, Gemini, vector databases, RAG, AI agents)
- Curiosity and pragmatism with a focus on delivering real value
- Experience building AI-powered applications integrated with real-world systems
- Ability to work autonomously and drive projects
- Strong collaboration skills with both technical and non-technical teams
Responsibilities:
- Develop frameworks and tooling to ease integration of Generative AI for R&D teams
- Design and build pragmatic, production-ready Generative AI solutions for business use cases
- Collaborate with teams across the company to understand challenges and apply AI where it adds value
- Balance innovation with practicality, choosing the right AI tools for the job
- Ensure solutions are scalable, cost-efficient, secure, and follow best practices for AI in production
- Stay updated with AI developments and contribute to defining the company's AI adoption strategy
Required hard skills:
- Software engineering (backend or machine learning development)
- Experience with production deployment of Generative AI/LLM technologies
- System integration
- Development of AI-powered applications
Recommended hard skills:
- Knowledge of vector databases
- Experience with Retrieval-Augmented Generation (RAG)
- Familiarity with AI agents
Soft skills:
- Curiosity
- Pragmatism
- Autonomy
- Strong collaboration and communication skills
Natural languages:
- English (Proficient)
Cultural skills:
- Working in a fast-growing scaleup environment
- Contributing to sustainable urban mobility mission
- Aligning with a collaborative and innovation-driven culture
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