Python Developer

Job Description

Python Developer (AI / LLM / RAG / Web Development)

Role Overview

We are seeking a Python Developer with strong experience in AI/LLMs, Retrieval-Augmented Generation (RAG), and web development. You will build intelligent, scalable applications powered by large language models, integrating them into real-world products through robust backend systems and APIs.

Key Responsibilities

• Design and develop backend systems using Python (FastAPI / Django / Flask)
• Build and integrate LLM-powered applications (chatbots, copilots, automation tools)
• Implement RAG pipelines for context-aware AI systems
• Work with vector databases (FAISS, Pinecone, Weaviate, Chroma)
• Develop and maintain RESTful / GraphQL APIs
• Handle data ingestion, chunking, embeddings, and retrieval workflows
• Integrate external APIs, third-party services, and AI models
• Optimize model responses, latency, and cost efficiency
• Collaborate with frontend, product, and DevOps teams
• Ensure code quality, testing, and deployment readiness

Required Skills

• Strong proficiency in Python
• Experience with FastAPI / Flask / Django
• Solid understanding of LLMs (OpenAI, open-source models, etc.)
• Hands-on experience with RAG (Retrieval-Augmented Generation)
• Familiarity with embeddings, vector search, and semantic retrieval
• Experience with REST APIs and backend architecture
• Knowledge of databases (PostgreSQL, MongoDB)
• Basic understanding of prompt engineering
• Familiarity with Git and version control

Preferred Skills (Good to Have)

• Experience with frameworks like LangChain / LlamaIndex
• Knowledge of transformers and Hugging Face ecosystem
• Experience with Docker, Kubernetes
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Knowledge of streaming, async processing, WebSockets
• Experience with frontend (React / Next.js) for full-stack capability
• Understanding of model fine-tuning or LoRA

RAG-Specific Expectations

• Build pipelines for:
• Document ingestion (PDFs, APIs, DBs)
• Text chunking and preprocessing
• Embedding generation
• Vector storage and retrieval
• Implement hybrid search (semantic + keyword)
• Optimize retrieval quality and reduce hallucinations
• Evaluate LLM outputs and improve accuracy

Qualifications

• Bachelor’s degree in Computer Science, AI, or related field
• 0-2 years of experience in Python/backend development
• Hands-on experience with AI/LLM projects (internships or production)

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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