Django Architect

We need candidates with solid experience in Python, FastAPI / Flask, React / Next.js, LLMs, RAG, Vector DBs, and cloud (AWS / Azure). Job Title : AI Python Full Stack Engineer Location : Remote We are looking for a talented AI Python Full Stack Engineer to design, develop, and deploy AI-driven applications. The ideal candidate will have strong expertise in Python , backend development , frontend frameworks , and hands-on experience with modern AI / ML tools, GenAI pipelines, API integrations, and cloud platforms.

Responsibilities

AI / Backend Engineering Develop and maintain Python-based backend services and APIs using frameworks like FastAPI , Flask , or Django . Build and integrate AI / ML models , including LLMs, RAG systems, embeddings, and vector databases. Implement agentic AI workflows that can call tools, orchestrate tasks, and automate actions. Build scalable data pipelines for model training and inference. Optimize models for performance, latency, and cost .

Frontend Engineering Develop responsive UI using React , Next.js , or similar frameworks. Integrate frontend with backend AI services and APIs. Build dashboards, chat interfaces, and workflow screens interacting with AI outputs.

Full-Stack Ownership Translate business requirements into technical design and working software. Own the end-to-end delivery of features from design to production. Build reusable components and maintain coding best practices. Collaborate closely with product, design, and data / ML teams.

DevOps / Cloud Deploy full-stack applications on AWS / Azure / Google Cloud Platform. Implement CI / CD pipelines (GitHub Actions, Jenkins, GitLab CI). Work with containerization technologies like Docker and Kubernetes . Manage vector databases (Pinecone, FAISS, Chroma) and document stores (MongoDB, PostgreSQL, DynamoDB).

Required Skills

Strong proficiency in Python for backend and AI development. Experience with FastAPI / Flask / Django . Hands-on experience with LLMs , RAG , embedding models , and AI agent frameworks . Excellent understanding of REST APIs, microservices, and distributed systems. Frontend experience with React, Next.js, Typescript, HTML / CSS . Familiarity with cloud services such as AWS Lambda, S3, EC2, API Gateway, Bedrock, SageMaker, or Azure OpenAI. Experience with SQL and NoSQL databases. Strong debugging, optimization, and production support skills.

Preferred Skills

Experience with vector databases (Pinecone, FAISS, Weaviate). Knowledge of LangChain, LlamaIndex, or OpenAI function-calling agents. Experience building chatbots or agentic AI solutions. Knowledge of MLOps, monitoring tools, and observability. Familiarity with event-driven architectures (Kafka, Kinesis). Basic understanding of UI / UX principles.

Education & Experience

Bachelor s or Master s degree in Computer Science, Engineering, or a related field (preferred). 3 8+ years of experience in software engineering, including at least 1 2 years in AI / ML or LLM-based application development.