Informacje o stanowisku

At Grape Up our mission is leveraging technology to drive software innovation.

Together with our clients, who are leading providers in the title insurance and automotive industries, we are building enterprise cloud solutions.

Our responsibility is to design and implement mission-critical software that will manage various business aspects like customer, product, and order management, billing, and business-specific workflows. We develop the applications from scratch, utilizing best practices and maintaining the highest standards in software delivery.

• Proven track record in designing and implementing LLM-based solutions
• Extensive experience with prompt engineering and AI model fine-tuning
• Expert-level knowledge of Python/Java and its AI/ML libraries
• Experience with cloud platforms, ideally AWS (or GCP/Azure)
• Bachelor’s or Master’s degree in Computer Science, AI, or related field
• 5+ of professional experience in software development
• Excellent problem-solving abilities and independent work ethic
• Fluency in English, both written and spoken

Nice to have

• Experience with FastAPI for building modern web applications
• Advanced knowledge of Agile methodologies and Scrum framework
• Proficiency in Git for version control and collaborative development
• Expertise in CI/CD concepts
• Publications or contributions to the AI/ML community à AI/ML/LLM

At Grape Up our mission is leveraging technology to drive software innovation.

Together with our clients, who are leading providers in the title insurance and automotive industries, we are building enterprise cloud solutions.

Our responsibility is to design and implement mission-critical software that will manage various business aspects like customer, product, and order management, billing, and business-specific workflows. We develop the applications from scratch, utilizing best practices and maintaining the highest standards in software delivery.

,[Architect, implement and optimize advanced tools using large language models (LLM), Develop and refine complex prompt engineering strategies, Conduct in-depth problem analysis using a cutting-edge language model, Design, implement, and secure an LLM-based solution on the AWS platform, Lead and mentor a team in the field of AI/ML Requirements: LLM, AI, Python, AWS, FastAPI, Google Cloud, Azure, Java Tools: Confluence, Agile, Scrum, Kanban. Additionally: Training budget, Private healthcare, Flat structure, Small teams, International projects, Free coffee, Canteen, Bike parking, Playroom, Shower, Free snacks, Free beverages, Free parking, In-house trainings, In-house hack days, Modern office, Startup atmosphere, No dress code.

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