Python разработчик

Exadel is an AI-first global tech company with over 25 years of engineering leadership, more than 2,000 team members, and over 500 active projects serving Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

• Design, build, and maintain internal applications, automations, and AI-powered workflows;
• Develop backend services and APIs in Python, Java Script (Node) and/or related technologies;
• Build user-facing tools and dashboards using React;
• Integrate LLMs and external services into business workflows using platforms such as OpenAI, Gemini, AWS, and GCP;
• Partner with data scientists to productionize prototypes and analytical solutions;
• Improve the architecture, reliability, testing, observability, and deployment of team-owned systems;
• Work with stakeholders across business, operations, and sales to understand pain points and translate them into practical solutions;
• Identify opportunities to automate repetitive work and streamline internal processes;
• Establish engineering best practices for code quality, system design, CI/CD, and documentation;
• Mentor other engineers and help raise the overall engineering bar of the team.

• Solid commercial experience in software engineering, with strong focus on building production systems;
• Strong backend engineering skills, ideally in Python;
• Experience building modern web applications with React;
• Experience designing and consuming APIs, integrating third-party services, and building automation workflows;
• Solid understanding of software architecture, system design, and scalable application development;
• Experience working with cloud platforms such as AWS, GCP, or Azure;
• Experience with containers, deployment pipelines, and engineering best practices in production environments;
• Familiarity with LLM-based application development, including tools and APIs such as OpenAI, Gemini, or similar platforms;
• Ability to evaluate where AI is useful in a workflow and where traditional engineering patterns are the better solution;
• Strong communication skills and the ability to work directly with technical and non-technical stakeholders;
• Proven ability to move from ambiguous business needs to working software;
• Upper-Intermediate English;
• Nice to have: Experience with workflow orchestration and automation tooling, Experience building internal tools, sales enablement systems, or operational platforms, Familiarity with vector databases, retrieval pipelines, agentic workflows, or prompt design, Experience with asynchronous processing, task queues, and event-driven systems, Exposure to analytics, experimentation, or collaboration with data science / ML teams, Familiarity with Postgres and other common data storage technologies, Experience with observability, monitoring, and production support, Background in SaaS, enterprise platforms, or customer-facing solution engineering.

• International projects;
• In-office, hybrid, or remote flexibility;
• Medical healthcare;
• Recognition program;
• Ongoing learning & reimbursement;
• Well-being program;
• Team events & local benefits;
• Sports compensation;
• Referral bonuses;
• Top-tier equipment provision.