
Generative AI Engineer
2 weeks ago
Role Overview
We are seeking a Generative AI Engineer with hands-on experience in LLMs, RAG-based architectures, and end-to-end AI application development. The ideal candidate is passionate about building scalable AI-driven systems and integrating them seamlessly into modern web platforms.
Key Responsibilities
Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines.
Work with Large Language Models (LLMs) to fine-tune, prompt-engineer, and deploy in production environments.
Build and expose APIs using Flask and FastAPI for AI services.
Leverage LangChain (or similar frameworks) for orchestrating LLM applications.
Collaborate with front-end engineers to integrate AI backends with React-based applications.
Ensure scalability, security, and performance of deployed AI solutions.
Research emerging Gen AI tools and frameworks to keep QTIMinds ahead of the curve.
Required Skills & Qualifications
3+ years of professional experience in AI/ML development.
Strong proficiency in Python.
Hands-on experience with RAG pipelines, LLMs (OpenAI, Anthropic, LLaMA, etc.), and vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma).
Expertise in Flask, FastAPI, LangChain.
Working knowledge of React integration with backend AI services.
Strong understanding of cloud environments (AWS, GCP, or Azure) and containerization (Docker).
Excellent problem-solving and communication skills.
Nice-to-Have
Experience with fine-tuning/custom training of LLMs.
Familiarity with MLOps pipelines for model deployment.
Knowledge of data pipelines for unstructured/semi-structured data.
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