Python Full Stack (with React)
Luxoft · UA ·
- Category
- Fullstack
- Experience
- 7+ years
- Visa sponsorship
- Yes
- Company size
- 501-1000
- Salary
- USD 3,000 – 5,000 / month
Luxoft · UA ·
Build and maintain a GenAI-powered enterprise platform using Python, FastAPI, React, and AI orchestration tools like LangChain, deploying to Azure with CI/CD and observability.
Join a team developing an enterprise-grade agentic AI platform that leverages AI agents, tools, skills, and orchestration capabilities to automate cybersecurity and business processes. The project involves building and enhancing modern GenAI solutions using technologies such as Python, Azure, RAG, MCP integrations, CI/CD, observability, and scalable cloud-native architectures. You will work on designing, developing, and industrializing advanced agent-based AI applications, contributing to new use cases, integrations, security features, and platform evolution.
Responsibilities
Design, develop, and maintain full-stack applications using Python, FastAPI, and React.
Build and enhance Agentic AI solutions leveraging LLMs, LangChain, LangGraph, and AI orchestration frameworks.
Develop backend services, APIs, and integrations with external systems and AI tools.
Design and optimize data models and queries in PostgreSQL.
Implement caching, session management, and performance optimization using Redis.
Collaborate with architects, DevOps engineers, and product stakeholders to deliver scalable solutions.
Ensure code quality through testing, code reviews, and adherence to engineering best practices.
Contribute to system observability, monitoring, troubleshooting, and platform reliability.
Participate in solution design and technical leadership.
Support CI/CD processes and cloud-native application deployment.
Skills
Must have
7+ years of professional software development experience.
Strong expertise in Python and modern backend development.
Experience with FastAPI and RESTful API design.
Strong frontend development experience with React.js.
Hands-on experience building Agentic AI applications.
Practical experience with LLMs (OpenAI, Azure OpenAI, Anthropic, or similar), LangChain, LangGraph, Langfuse.
Strong knowledge of PostgreSQL.
Experience with Redis.
Understanding of software architecture, design patterns, and scalable distributed systems.
Experience with Git, CI/CD pipelines, and modern development practices.
Good communication skills and ability to work in an international environment.
English: B2 or higher.
Nice to have
Experience with security testing, application security, or secure coding practices (preferred).
Experience with Azure cloud services.
Experience with RAG (Retrieval-Augmented Generation) architectures.
Knowledge of Docker, Kubernetes, and cloud-native deployments.
Exposure to cybersecurity, vulnerability management, or enterprise security platforms.