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python developer for agentic AI systems

Summary

Builds autonomous AI agents and multi-agent systems using Python, LangGraph, and LangChain to automate software development workflows and improve code quality.

Описание

Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services. The company helps enterprise organizations solve complex technical challenges and achieve business outcomes during digital transformation.

Задачи

Architect, design, and deploy autonomous agentic AI workflows and multi-agent systems that automate complex, end-to-end software development lifecycle processes; Develop scalable back-end services and orchestrations using Python, LangGraph, and LangChain for multi-agent communication, state management, and task planning; Implement observability, evaluation, and tracing frameworks with LangSmith to monitor agent behavior, optimize performance, and ensure output reliability; Apply prompt engineering techniques and GenAI development tools such as Claude Code to build code generation and refactoring pipelines; Manage containerized runtimes with Docker and write complex Bash/shell scripts for environment execution and sandboxing; Collaborate with cross-functional engineering teams to evaluate generated code across Java, .NET, and Angular technology stacks; Address complex technical challenges, navigate ambiguity, and maintain high standards for generated code quality and security.

Требования

3+ Years of commercial software engineering experience and a proven track record of developing production-grade Python applications; Hands-on experience developing agentic AI systems, multi-agent architectures, or advanced Retrieval-Augmented Generation frameworks; Strong proficiency with LangGraph and LangChain for building complex, stateful AI agent workflows; Practical experience with LangSmith or equivalent LLMOps platforms for observability, tracing, debugging, and evaluation of LLM pipelines; Practical experience using modern GenAI coding acceleration tools such as Claude Code, Cursor, or GitHub Copilot in daily software development; Expertise in prompt engineering, LLM orchestration, and dynamic context management; Solid hands-on proficiency with Linux, Bash/shell scripting, and Docker containerization; Conceptual understanding or basic hands-on familiarity with Java using Maven/Gradle, .NET, and Angular; Highly adaptive mindset, strong problem-solving skills, and excellent written and verbal English communication skills.

Условия

  • Competitive salary
  • Flexible schedule
  • Medical insurance and sports benefits
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office
  • Opportunity to work on bleeding-edge projects
  • Work with a highly motivated and dedicated team

See also

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