Python AI Engineer
Posted 1 day ago by Bramkas Inc.
Negotiable
Undetermined
Remote
Remote
Summary: The role of Python AI Engineer focuses on developing enterprise-scale AI applications using Python, React, MongoDB, and Generative AI technologies. The ideal candidate will possess strong expertise in building intelligent applications, including document processing and real-time conversational experiences. This position is suited for engineers who thrive in creating AI-powered solutions leveraging Large Language Models and modern full-stack technologies. The role offers opportunities to work on cutting-edge AI projects in a collaborative environment.
Key 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.
Key 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, and embeddings.
- 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.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
Detailed Description From Employer:
Python AI Engineer ( Python | React | MongoDB | Generative AI (GenAI)
- 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
- 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.