AI Integrations Engineer (m/f/d) - Remote
Sastrify
Empower businesses to succeed! At Sastrify, we're transforming how companies manage and procure their software - quickly, efficiently, and with maximum impact. Our mission? To save our clients time and money so they can focus on what truly matters.
Supporting Tech and Procurement teams in buying and managing their software, we deliver best practices and insights and a vast database of benchmarks.
We're thrilled to have secured $32 million in Series B funding, a milestone that fuels our passion for innovation and growth. Joining Sastrify means being part of a fast-paced, forward-thinking team where your work will make a real difference.
Ready to shape the future of SaaS management? Let’s do it together! You'll be working closely with Maximilian Messing, our CTO.
What you'll do as our AI Integrations Engineer
- Lead the integration of AI technologies within our SaaS platform, ensuring robust, scalable, and high-performance architectures.
- Collaborate with cross-functional teams to implement and enhance AI-driven features that improve user experience and platform efficiency.
- Design and develop APIs and data pipelines to integrate third-party AI solutions and large language models (LLMs) seamlessly, including popular AI services such as OpenAI, Anthropic, and other emerging providers.
- Develop and maintain Python-based data processing scripts for AI models and workflows.
- Oversee the entire lifecycle of AI applications, focusing on secure and efficient deployment and operation.
- Implement best practices in AI development, including continuous integration and delivery, and infrastructure as code.
- Collaborate closely with stakeholders to translate business requirements into scalable AI-driven solutions.
- Act as a thought leader in AI integration, promoting a culture of innovation and continuous improvement.
Our Technologies
- We build our products using TypeScript: React.js for the Front-End and Node.js for the Back-End.
- Our serverless architecture leverages AWS Lambda functions.
- We maintain fully automated CI/CD pipelines with daily production deployments.
- We use Terraform for infrastructure as code to manage our cloud environments.
- Our stack also includes Serverless Framework, PostgreSQL, TypeORM, Storybook, React Query, and a variety of AWS services (Bedrock and others).