Head of AI at Coody leading AI as a core business area. Collaborating with teams to deliver AI - driven solutions while supporting client growth in Stockholm.
About the role
- Generative AI Developer enhancing AI capabilities for Finout's FinOps SaaS platform. Designing, building, and deploying generative AI-powered features in a collaborative environment.
Responsibilities
- Lead the charge in transforming our product and preparing it for the agentic age.
- Design, build, and deploy generative AI-powered features across our product.
- Identify opportunities for AI integration by proactively exploring FinOps use cases and user needs.
- Prototype and validate new AI use cases quickly and iterate based on internal and external feedback.
- Collaborate cross-functionally with product, design, and backend teams to drive innovation from concept to production.
- Stay current with the fast-moving generative AI landscape and evaluate new models, APIs, and tools (e.g., OpenAI, Anthropic, Hugging Face, AWS Bedrock, open-source LLMs).
- Live in the future and track new innovations and paradigms in this fast evolving field and identify opportunities to integrate them into the product.
- Implement safeguards, prompt engineering techniques, and usage monitoring to ensure high-quality AI outputs.
- Optimize model performance, inference time, and cost efficiency within AWS infrastructure.
Requirements
- 3+ years of hands-on experience in software engineering, with at least 1–2 years working on generative AI projects (LLMs, diffusion models, multimodal models, etc.)
- Proven ability to go from idea to production—ideally with examples of real-world AI features you’ve shipped
- Fluency in Python, Node.js, or similar languages used in ML and full-stack development
- Experience with prompt engineering, fine-tuning, or embedding models using frameworks like LangChain, LlamaIndex, or similar
- Familiarity with AWS services and best practices, including Lambda, S3, SageMaker, ECS/EKS, Bedrock etc.
- Experience with MLOps and model deployment practices (e.g., containerization, GPU inference, vector databases)
- Creativity and initiative—able to pitch and prototype ideas with minimal oversight
- Strong communication skills and the ability to explain technical concepts to non-technical stakeholders.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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