Python developer (AI experience)

Grid Dynamics; Wrocław; On-site; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Medical insurance

Sports

Flexible schedule

Corporate events

Professional development

Well-equipped office

Job summary

Grid Dynamics is seeking a Senior / Lead AI Software Engineer to join a high-impact initiative building a next-generation autonomous AI agent that acts as a digital software engineer for a global leader in digital payments. You will design and deploy multi-agent architectures, scale AI components, and own end-to-end tasks from requirements to production-ready code.

You will use Python with LangGraph and LangChain, implement observability with LangSmith, and collaborate across stacks including

Qualifications

• 3+ years of commercial software engineering experience with production-grade Python applications.
• Experience building agentic AI systems and multi-agent architectures.
• Proficiency with LangGraph and LangChain.
• Experience with LangSmith for observability and evaluation of LLM pipelines.
• GenAI coding acceleration tools (Claude Code, Cursor, GitHub Copilot).
• Familiarity with Linux, Bash scripting, and Docker.
• Understanding of Java/Maven/Gradle, .NET, or Angular to validate agent-generated code.
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• job_responsibilities_description [i]
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• 1. Architect and deploy autonomous agentic AI workflows for SDLC tasks.
• 2. Build scalable back-end services supporting multi-agent communications.
• 3. Implement observability and evaluation frameworks for model outputs.
• 4. Collaborate with cross-functional teams to evaluate generated code across stacks.
• 5. Apply prompt engineering and GenAI tooling throughout development.

Responsibilities

• Architect, design, and deploy autonomous agentic AI workflows and multi-agent systems that automate complex, end-to-end software development lifecycle (SDLC) processes.
• Develop robust, scalable back-end services and orchestrations using Python, LangGraph, and LangChain to enable multi-agent communication, state management, and task planning.
• Implement observability, evaluation, and tracing frameworks using LangSmith to continuously monitor agent behavior, optimize performance, and ensure output reliability.
• Apply advanced prompt engineering techniques and leverage cutting-edge GenAI development tools (such as Claude Code) to build high-precision code generation and refactoring pipelines.
• Ensure seamless environment execution and sandboxing by managing containerized runtimes using Docker and writing complex Bash/shell scripts.
• Collaborate with cross-functional engineering teams to evaluate generated code across diverse technology stacks, including Java (Maven/Gradle), .NET, and Angular.
• Adopt an adaptive, problem-solving mindset to address complex technical challenges, navigate ambiguity, and maintain high standards for generated code quality and security.

Skills

Python

LangGraph

LangChain

LangSmith

Bash scripting

Docker

Linux

English

AI systems

Tools

Java (Maven/Gradle)

.NET

Angular

Claude Code

Cursor

GitHub Copilot

Job description

We are seeking a Senior / Lead AI Software Engineer to join a high-impact engineering initiative building a next-generation autonomous AI agent that acts as a digital software engineer for a global leader in digital payments and financial technology. In this role, you will play a pivotal part within a dedicated Grid Dynamics engineering squad, designing and developing a sophisticated multi-agent architecture capable of taking software engineering tasks from requirements to production-ready code end-to-end. As a technical leader on the team, you will build and scale specialized AI components that handle different stages of the software development lifecycle—including requirements understanding, solution planning, code generation, testing execution, and quality validation.

Responsibilities

• Architect, design, and deploy autonomous agentic AI workflows and multi-agent systems that automate complex, end-to-end software development lifecycle (SDLC) processes.
• Develop robust, scalable back-end services and orchestrations using Python, LangGraph, and LangChain to enable multi-agent communication, state management, and task planning.
• Implement observability, evaluation, and tracing frameworks using LangSmith to continuously monitor agent behavior, optimize performance, and ensure output reliability.
• Apply advanced prompt engineering techniques and leverage cutting-edge GenAI development tools (such as Claude Code) to build high-precision code generation and refactoring pipelines.
• Ensure seamless environment execution and sandboxing by managing containerized runtimes using Docker and writing complex Bash/shell scripts.
• Collaborate with cross-functional engineering teams to evaluate generated code across diverse technology stacks, including Java (Maven/Gradle), .NET, and Angular.
• Adopt an adaptive, problem-solving mindset to address complex technical challenges, navigate ambiguity, and maintain high standards for generated code quality and security.

Requirements

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

We offer

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

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.