AI Developer (RAG + Python)

About Askgalore:

AskGalore Digital is a leading technology and digital marketing company delivering innovative solutions across AI, Blockchain, Data Science, AR/VR, and performance-driven marketing platforms. We work with both global enterprises and startups to help scale their digital presence and ROI.

Role Overview:

We are seeking an experienced AI Developer with expertise in Retrieval-Augmented Generation (RAG), vector databases, and LLM integration to design and deploy scalable AI-driven applications. The ideal candidate should have hands-on experience with FastAPI for backend integration and a basic understanding of Computer Vision (OpenCV). This role involves building advanced retrieval pipelines, optimizing LLM responses, and deploying RAG-powered solutions at scale.

Key Responsibilities:

• Design, implement, and optimize RAG pipelines using Python.
• Work with vector databases like Pinecone, Weaviate, FAISS, and Milvus for efficient document retrieval.
• Integrate LLMs (e.g., GPT, LLaMA, Falcon) into production-ready applications.
• Implement embedding models (e.g., OpenAI, Hugging Face, Sentence Transformers) for semantic search.
• Build and manage RESTful APIs and microservices using FastAPI.
• Apply prompt engineering and fine-tuning techniques to improve LLM performance.
• Collaborate with teams to combine RAG with basic CV solutions using OpenCV when needed.
• Ensure performance optimization, scalability, and security in deployed AI systems.
• Stay up-to-date with the latest advancements in RAG, vector search, and the LLM ecosystem.

Requirements:

• Design, implement, and optimize RAG pipelines using Python.
• Work with vector databases such as Pinecone, Weaviate, FAISS, and Milvus for efficient document retrieval.
• Integrate LLMs (e.g., GPT, LLaMA, Falcon) into production-ready applications.
• Implement embedding models (e.g., OpenAI, Hugging Face, Sentence Transformers) for semantic search.
• Build and manage RESTful APIs and microservices using FastAPI.
• Apply prompt engineering and fine-tuning techniques for improved LLM performance.
• Collaborate with teams to combine RAG with basic Computer Vision solutions using OpenCV.
• Ensure performance optimization, scalability, and security in deployed AI systems.
• Stay up-to-date with the latest advancements in RAG, vector search, and the LLM ecosystem.

Preferred Skills:

• Experience with LangChain, LlamaIndex, or Haystack for building RAG applications.
• Knowledge of multimodal AI (text + images/video).
• Familiarity with CI/CD pipelines for deploying AI applications.
• Understanding of data security, privacy, and compliance in AI/ML.

What Does an AI Developer (RAG + Python) Do at AskGalore?

At AskGalore, an AI Developer specializing in RAG designs cutting-edge retrieval pipelines, integrates vector databases with LLMs, and builds scalable backend APIs to deliver impactful real-world AI applications. You’ll play a crucial role in bridging backend systems with next-generation AI technologies.

Salary & Compensation: Competitive and at par with industry standards.