Senior Gen AI Developer Position

3 days ago


Stockholm, Stockholm, Sweden Voi Technology AB Full time

Job Requirements

We're seeking a talented and innovative Applied AI Engineer Research who can help us drive our Gen AI strategy forward. This role requires a unique blend of technical expertise, business acumen, and creative problem-solving skills.

As an Applied AI Engineer Research, you will be responsible for developing and implementing Gen AI solutions that meet our business needs. This includes designing and building pragmatic, production-ready Gen AI solutions for various business use cases, as well as working with teams across the company to understand their challenges and apply AI where it creates real value.

You'll also need to balance innovation with practicality, ensuring we use the right AI tools for the job rather than chasing the latest trends. Additionally, you'll need to ensure that solutions are scalable, cost-efficient, and secure, following best practices for deploying AI in production.

Key Responsibilities

  • Developing frameworks and tooling that make it easier for R&D teams to integrate Gen AI into products.
  • Designing and building pragmatic, production-ready Gen AI solutions for various business use cases.
  • Working with teams across the company to understand their challenges and apply AI where it creates real value.
  • Balancing innovation with practicality, ensuring we use the right AI tools for the job rather than chasing the latest trends.
  • Ensuring solutions are scalable, cost-efficient, and secure, following best practices for deploying AI in production.

Requirements

  • Strong software engineering background, ideally in backend or ML development and system integration.
  • Proven experience using Gen AI/LLM technologies in production (e.g., OpenAI, Claude, Gemini, vector databases, RAG, AI agents).
  • Curiosity and pragmatism – you focus on delivering value, not just exploring technology.
  • Experience building AI-powered applications that integrate with real-world systems.
  • Ability to work autonomously, define your own roadmap, and drive projects forward.
  • Strong collaboration skills – comfortable working with technical and non-technical teams alike.


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