AI Engineer, RAG, Fine-Tuning, Agents

🌟 About EnlightFlow.ai

EnlightFlow is a fast-growing AI consultancy and product studio on a mission to automate the world’s workflows through bleeding-edge AI. We build agentic systems, intelligent automations, and LLM-powered products for startups and global enterprises. If you’re passionate about building at the frontier of what AI can do—and want to see your work drive real business outcomes—this is your home.

🧠 What You’ll Do

As an AI Engineer at EnlightFlow.ai, you’ll be responsible for designing, building, and deploying scalable AI systems that automate decision-making, enhance productivity, and power next-gen products for our clients.

Your role will involve:

• Fine-tuning and serving LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) for client-specific use cases such as document processing, summarization, and structured data extraction.
• Architecting Retrieval-Augmented Generation (RAG) systems and knowledge bases using tools like Pinecone, Chroma, LangChain, and LangGraph.
• Developing multi-agent workflows for use cases like customer support, internal knowledge search, lead qualification, marketing automation, and more.
• Building and optimizing ML pipelines (including computer vision and NLP) to solve unique problems across industries like media, VFX, legal, and SaaS.
• Integrating AI solutions into real-world products using REST APIs, Python microservices, and scalable cloud infrastructure (AWS/GCP/CoreWeave).

🔧 Tech Stack You’ll Use

• LLMs: GPT-4, Claude, Gemini, LLaMA, Mistral, custom LoRA models
• Frameworks: LangChain, LangGraph, Hugging Face, PyTorch, TensorFlow
• Infra: Docker, Kubernetes, MLflow, GCP, CoreWeave, AWS
• Vector DBs: Pinecone, Chroma, Weaviate
• Backend: FastAPI, Flask, Kafka, RabbitMQ