We're hiring an AI engineer to help build financial intelligence.
We're seeking a talented AI Engineer to join our product team and help build cutting-edge AI-powered applications. This role combines deep technical expertise in artificial intelligence with modern web development skills to create innovative user experiences. You'll be responsible for integrating large language models, implementing Multi-agent collaboration systems, and building scalable web applications that leverage the latest in AI technology.
This role is now closed. We are keeping the description online so candidates and partners can see the type of AI engineering work we do at FinCatch.
Key Responsibilities
- Design and implement AI-powered features using Large Language Models (LLMs), multi-agent systems, and Retrieval-Augmented Generation (RAG) systems.
- Develop responsive web applications using React, Next.js, and TypeScript.
- Deploy and manage AI models on cloud platforms (GCP/AWS) with proper scalability and monitoring.
- Implement web scraping solutions to gather and process data for AI training and inference.
- Create robust backend systems using Python and integrate with databases for data management.
- Optimize application performance and ensure reliable deployment through Docker and Vercel.
- Maintain code quality and implement best practices for AI development workflows.
Required Technical Skills
AI & Backend
- Python: Advanced proficiency for AI development, data processing, and backend services.
- FastAPI: Experience building high-performance APIs with automatic documentation and async support.
- Large Language Models (LLMs): Experience with GPT, Claude, Gemini or similar models, including RAG and fine-tuning.
- Multi-agent Collaboration Systems: Hands-on experience building Multi-agent Collaboration Systems pipelines.
- Web Scraping: Experience with Beautiful Soup, Scrapy, Selenium, or similar tools for data collection.
Cloud & Infrastructure
- Google Cloud Platform (GCP): Experience with AI services, Compute Engine, Cloud Run, Cloud Composer, Vertex AI.
- Amazon Web Services (AWS): Familiarity with EC2, ECR, App Runner, Lambda, SageMaker, and other relevant services.
- Docker: Containerization for consistent deployment and scaling.
- Supabase: Database management, authentication, and real-time features.
Frontend & Web Development
- JavaScript/TypeScript: Strong proficiency in modern JavaScript and TypeScript.
- React: Advanced knowledge of the React ecosystem, hooks, and state management.
- Next.js: Experience with server-side rendering, API routes, and full-stack development.
- HTML/CSS: Solid foundation in web standards and responsive design.
- Vercel: Deployment and hosting of modern web applications.
Desirable Skills
- Prompt Engineering: Expertise in crafting effective prompts for optimal LLM performance.
- UI/UX Design: Understanding of user experience principles and design thinking.
- Framer: Experience with modern design and prototyping tools.
What We're Looking For
- Experiences in software engineering with a focus on AI applications.
- Strong problem-solving skills and ability to work with ambiguous requirements.
- Experience building production-ready AI applications that serve real users.
- Understanding of AI ethics, bias mitigation, and responsible AI development.
- Excellent communication skills and ability to explain complex technical concepts.
- Passion for staying current with rapidly evolving AI technologies.
Bonus Points
- Experience with multimodal AI systems (text, image, audio).
- Knowledge of AI model deployment and DevOps practices.
- Contributions to open-source AI projects.
- Experience with A/B testing AI features and measuring their impact.
You'll be working with a modern tech stack including React-based frontend, Python microservices, PostgreSQL with vector extensions, cloud-native deployments, and state-of-the-art AI models.
Growth Opportunities
- Work with cutting-edge AI technologies and contribute to product innovation.
- Collaborate with world-class AI researchers and engineers.
- Opportunity to speak at conferences and contribute to the AI community.
- Professional development budget for courses, certifications, and conferences.
- Flexible working arrangements.
We are an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status.
How to apply
The fastest path is to reach out through FinCatch's LinkedIn page and include a short note about your background, projects, and why this role fits.