Senior AI Full Stack Developer (Python & React)

About the job

Responsibilities

• Design, develop, and maintain end-to-end AI-powered applications using Python and React/TypeScript.
• Build scalable backend services and REST APIs using Python frameworks like FastAPI, Flask, or Django.
• Develop modern, responsive, and reusable front-end applications using React, TypeScript, Next.js, HTML, and CSS.
• Integrate front-end applications with backend services, AI services, enterprise APIs, and data platforms.
• Design and implement Generative AI and Agentic AI applications powered by Large Language Models.
• Build AI workflows and agent-based systems using frameworks such as LangChain, LangGraph, LlamaIndex, Haystack, or similar.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embedding generation, retrieval, reranking, and response generation.
• Integrate vector databases and search technologies such as Pinecone, Weaviate, FAISS, Milvus, Azure AI Search, Elasticsearch, or equivalent solutions.
• Integrate commercial and open-source LLMs through platforms and APIs such as Azure OpenAI, OpenAI, AWS Bedrock, Google Vertex AI, Hugging Face, or similar services.
• Apply prompt engineering, structured outputs, tool/function calling, context management, and model evaluation techniques to improve AI application quality and reliability.
• Implement AI agent capabilities including tool usage, workflow orchestration, memory/state management, multi-agent patterns, and human-in-the-loop workflows.
• Implement LLM evaluation, tracing, monitoring, guardrails, and observability mechanisms for production AI systems.
• Optimize AI applications for accuracy, latency, scalability, reliability, and cost.
• Design secure application architectures covering authentication, authorization, API security, secrets management, and secure handling of enterprise data.
• Deploy and operate applications in AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Containerize applications using Docker and work with orchestration platforms such as Kubernetes.
• Implement infrastructure and deployment automation using Infrastructure as Code (IaC) technologies such as Terraform.
• Build and maintain CI/CD pipelines and apply DevOps, MLOps, LLMOps, and AIOps practices.
• Implement application and AI observability through logging, metrics, tracing, monitoring, and alerting.
• Write clean, maintainable, reusable, well-documented, and testable code across the full technology stack.
• Implement unit, integration, API, and end-to-end testing to ensure application quality.
• Participate in architecture and technical design discussions and contribute to technology and engineering decisions.
• Perform code reviews, establish engineering best practices, and support other developers through technical guidance and knowledge sharing.
• Collaborate closely with AI engineers, software engineers, architects, data engineers, DevOps engineers, designers, product owners, and client stakeholders.
• Evaluate emerging AI technologies and determine how they can be applied effectively in enterprise environments.
• Take ownership of solutions from concept and prototyping through production deployment, monitoring, and continuous improvement.

Requirements

• Strong professional experience with Python and modern Python software development.
• Strong professional experience with React and TypeScript.
• Experience developing production-grade backend services using FastAPI, Flask, Django, or similar frameworks.
• Strong understanding of REST APIs, asynchronous programming, microservices, distributed systems, and API integration.
• Experience building modern front-end architectures, reusable components, state management, API integration, and responsive user interfaces.
• Strong understanding of software engineering principles, including clean code, design patterns, testing, version control, and code review practices.
• Experience working with relational and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, or equivalent technologies.