python developer for agentic AI systems

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

• Architect, design, and deploy autonomous agentic AI workflows and multi-agent systems for complex end-to-end SDLC processes;
• Develop scalable back-end services and orchestrations using Python, LangGraph, and LangChain;
• Implement observability, evaluation, and tracing frameworks with LangSmith;
• Apply prompt engineering and GenAI development tools to build code generation and refactoring pipelines;
• Manage containerized runtimes with Docker and write complex Bash/shell scripts;
• Collaborate with cross-functional engineering teams to evaluate generated code across Java, .NET, and Angular stacks;
• Address complex technical challenges, navigate ambiguity, and maintain high standards for generated code quality and security.

• 3+ Years of commercial software engineering experience with production-grade Python applications;
• Hands-on experience with agentic AI systems, multi-agent architectures, or advanced RAG frameworks;
• Strong proficiency with LangGraph and LangChain;
• Practical experience with LangSmith or equivalent LLMOps platforms;
• Experience using modern GenAI coding acceleration tools such as Claude Code, Cursor, or GitHub Copilot;
• Expertise in prompt engineering, LLM orchestration, and dynamic context management;
• Proficiency with Linux, Bash/shell scripting, and Docker;
• Conceptual understanding or basic hands-on familiarity with Java with Maven/Gradle, .NET, and Angular;
• Highly adaptive mindset and strong problem-solving skills;
• Excellent written and verbal English communication skills.

• Competitive salary;
• Flexible schedule;
• Medical insurance and sports benefits;
• Corporate social events;
• Professional development opportunities;
• Well-equipped office.