Generative AI (GEN AI) Engineer | Python

Generative AI | GEN AI Engineer (Python )

  • Location: US Remote / Hybrid
  • Job Type: Full-Time | Contract | Contract-to-Hire (CTH)
  • Must-Have Skills : Python | React | MongoDB | Generative AI (GenAI) | LLM | RAG | Agentic AI | Vector Databases | MCP

Job Summary

We are seeking a Senior AI Full Stack Engineer with strong expertise in Python, React, MongoDB, and Generative AI to build enterprise-scale AI applications. The ideal candidate will have hands-on experience developing AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, Agentic AI, and modern full-stack technologies.

This role is ideal for engineers who enjoy building intelligent applications from document ingestion and semantic search to AI agents and real-time conversational experiences.

Responsibilities

  • Design, develop, and maintain enterprise AI applications using Python, React, and MongoDB.
  • Build scalable Retrieval-Augmented Generation (RAG) solutions using vector databases and embedding models.
  • Develop end-to-end document processing pipelines, including document parsing, extraction, chunking, indexing, and semantic retrieval.
  • Integrate commercial and open-source Large Language Models (LLMs).
  • Build real-time AI applications using Streaming APIs and Server-Sent Events (SSE).
  • Implement document citation, source attribution, and grounded AI responses.
  • Design and develop Agentic AI solutions using multi-agent frameworks and Model Context Protocol (MCP).
  • Develop REST APIs and microservices supporting AI workflows.
  • Collaborate with architects, product owners, and engineering teams to deliver scalable AI solutions.
  • Participate in architecture reviews, code reviews, and Agile development activities.

Required Skills

  • 5+ years of experience developing enterprise applications using Python, React, and MongoDB.
  • Strong hands-on experience with:
    • Generative AI (GenAI)
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Vector Databases (Pinecone, Weaviate, Milvus, ChromaDB, pgvector, or similar)
    • Embeddings and semantic search
    • Retrieval optimization
  • Experience building document parsing, OCR, extraction, indexing, and document ingestion pipelines.
  • Experience integrating LLM APIs (OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source models).
  • Experience implementing Streaming APIs and Server-Sent Events (SSE).
  • Experience implementing document citation and reference generation.
  • Experience designing and developing Agentic AI solutions using multi-agent frameworks and MCP.
  • Strong experience with REST APIs, Microservices, Git, and Agile/Scrum.
  • Excellent debugging, analytical, and problem-solving skills.

Preferred Skills

  • Experience with AI orchestration frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or LangChain.
  • Experience building AI workflow automation and agent orchestration.
  • Familiarity with Langfuse, Arize AI, or similar AI observability and evaluation platforms.
  • Experience with Docker, Kubernetes, and CI/CD.
  • Knowledge of Terraform, Infrastructure as Code (IaC), and DevOps.
  • Experience with AWS, Azure, or Google Cloud Platform.

Qualifications

  • Bachelor''s or Master''s degree in Computer Science, Engineering, or a related field.
  • Minimum 5 years of software development experience.
  • Minimum 2 years of hands-on experience building production AI/LLM applications.
  • Strong communication, collaboration, and problem-solving skills.

Why Join Us?

  • Work on cutting-edge Generative AI and Agentic AI projects.
  • Build enterprise-scale AI platforms using the latest technologies.
  • Collaborate with experienced architects, AI engineers, and product leaders.
  • Solve challenging real-world problems using modern AI and cloud technologies.
  • Competitive compensation with opportunities for long-term growth.
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