Python Developer RAG / GenAI Engineer

Python Developer – RAG / GenAI Engineer

• Location: Dallas, TX (Onsite /Hynrid ) or Remote (US)
• Employment Type: Full-Time
• Experience:  5 + Years Experience  
• Skills  : GEN AI , RAG , Python 

We are actively hiring for a Python Developer with strong experience in RAG (Retrieval Augmented Generation) and GenAI-based systems to build intelligent, scalable AI applications.

This role is focused on designing and implementing document-driven AI systems, real-time data pipelines, and LLM-powered solutions.

Role Overview

We are looking for a hands-on engineer who can build end-to-end GenAI pipelines — from document ingestion to retrieval and response generation.

You will work on modern AI architectures involving vector databases, embeddings, and real-time LLM integrations, helping deliver production-grade intelligent systems.

Key Responsibilities

• Build and maintain applications using Python for AI/GenAI use cases
• Design and implement RAG-based architectures for document retrieval and response generation
• Develop document ingestion pipelines:
• Loading → Parsing → Chunking → Embedding → Storage
• Work with vector databases for similarity search and indexing
• Implement document citation / source attribution in LLM responses
• Integrate with LLM providers (OpenAI, AWS Bedrock, etc.)
• Develop real-time systems using Streaming APIs and Server-Sent Events (SSE)
• Handle metadata management, indexing, and retrieval optimization
• Work with agent-based systems and integration patterns (MCP or similar)
• Collaborate with product, UI, and backend teams for full solution delivery

Required Skills

• Strong hands-on experience in Python development
• Proven experience building RAG (Retrieval Augmented Generation) systems
• Experience with Vector Databases:
• Embeddings, similarity search, indexing
• Strong experience in:
• Document parsing & extraction (PDF, structured/unstructured data)
• Document ingestion pipelines
• Experience with:
• Streaming APIs and SSE (Server-Sent Events)
• LLM integrations (OpenAI, Bedrock, etc.)
• Understanding of:
• MCP (Model Context Protocol) or similar agent frameworks
• Strong knowledge of data handling, metadata, and retrieval optimization

Good to Have

• Experience with LangChain / LangGraph or similar frameworks
• Experience with chat-based or agent-based UI integrations
• Exposure to real-time AI applications and conversational systems

What We’re Looking For

• Strong problem-solving mindset with hands-on coding ability
• Experience building production-grade AI systems (not just POCs)
• Ability to work independently in a fast-paced environment
• Passion for working with modern AI / GenAI technologies

Why Join

• Work on cutting-edge GenAI and RAG architectures
• Opportunity to build real-world AI products at scale
• Flexible work options (Dallas onsite or remote)
• Collaborative and innovation-driven environment