
Advanced AI Engineer Role
6 days ago
We are pioneering the world's first University Projects Ecosystem platform. Our mission is to democratize client and talent engagement, contributing to a more equitable future of work.
As an Artificial Intelligence Developer, you will work on cutting-edge Gen-AI applications that impact clients across domains. You will be responsible for building Retrieval-Augmented Generation (RAG) pipelines, backend infrastructure, and real-world AI deployments.
- Key Responsibilities:
- Build and deploy Gen-AI applications using RAG, LLMs, and embeddings.
- Design, implement, and optimize RAG pipelines using vector databases and prompt engineering.
- Develop and maintain backend systems using Next.js (API routes) and FastAPI.
- Collaborate with frontend developers to integrate AI services with React/Next.js applications.
- Write clean, scalable code with robust documentation and testing practices.
- Stay updated on advancements in AI (especially open-source LLMs, RAG stacks, LangChain/LlamaIndex, etc.) and recommend improvements.
Required Skills & Qualifications:
- Languages: Proficient in Python, JavaScript/TypeScript.
- Backend: Experience with FastAPI, Next.js API routes.
- Frontend: Comfortable with React, Next.js.
- AI/ML Concepts: Understanding of LLMs, embeddings, vector stores (e.g., Pinecone, FAISS, Weaviate), and RAG workflows.
- Tools & Libraries: Familiarity with LangChain, LlamaIndex, OpenAI APIs.
- DevOps: Experience with Docker, GitHub Actions, or cloud deployment (e.g., Vercel, AWS, GCP).
Soft Skills & Attributes:
- Curiosity and eagerness to learn.
- Strong problem-solving and debugging skills.
- Excellent communication and collaboration skills.
- Ability to work in fast-paced startup environments and take ownership.
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