Bramkas Inc.

Compensation

Full Description

Python Full Stack developer ( ReactJS , MoongoDB ) • Location: US Remote / Hybrid • Job Type: Full-Time • 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 • 3+ 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.