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The AI Engineer role at FinCatch Limited involves developing AI-powered applications, integrating large language models, and implementing web scraping solutions for data collection and processing. The position requires expertise in Python, cloud platforms, and modern web development technologies.
AI Engineer (Product) About the Role 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. 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 Database 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
Technical Environment 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.
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