Python developer (AI experience)

Grid Dynamics; Warszawa; On-site; PLN 180,000 - 320,000; Full time

Benefits offered by this job

Medical insurance

Sports

Corporate events

Professional development opportunities

Well-equipped office

Job summary

Grid Dynamics seeks a Senior/Lead AI Software Engineer to design and build autonomous AI agent workflows for a next‑gen software engineer agent. You will lead multi-agent development, code generation, testing, and quality validation across SDLC stages.

Role requires Python production experience, LangGraph/LangChain expertise, and hands-on GenAI tooling. Strong English communication and Docker/Linux skills are essential for remote collaboration.

Qualifications

• 3+ years of commercial software engineering experience in Python with production-grade apps.
• Hands-on experience building agentic AI systems and multi-agent architectures.
• Proficiency with LangGraph and LangChain for stateful AI workflows.
• Experience using LangSmith for observability, tracing, and evaluation of AI pipelines.
• Experience with GenAI coding acceleration tools (Claude Code, Cursor, GitHub Copilot).
• Strong prompt engineering, LLm orchestration, and context management.
• Solid Linux, Bash scripting, and Docker containerization skills.
• Familiarity with Java, .NET, Angular to validate agent-generated code.
• Excellent written and verbal English for remote collaboration.

Responsibilities

• Architect and deploy autonomous AI workflows and multi-agent SDLC processes.
• Develop robust back-end services and orchestrations enabling multi-agent communication.
• Implement observability, evaluation, and tracing frameworks for AI pipelines.
• Apply prompt engineering and GenAI tools to build code generation pipelines.
• Ensure secure, reliable execution in containerized environments using Docker and scripts.
• Collaborate with cross-functional teams to validate agent-generated code across stacks.

Skills

Python

Agentic AI systems

LangGraph

LangChain

LangSmith

GenAI tooling

Docker

Bash scripting

Linux

Code generation

Code review

English communication

Tools

Claude Code

Cursor

GitHub Copilot

Docker

LangGraph

LangChain

LangSmith

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.