Python Engineer (AI Automation focus)

We are seeking a Senior Python Engineer (AI Automation focus) to join our innovative team in building a cutting-edge autonomous AI agent. This "digital software engineer" is designed to handle the entire development lifecycle—from requirement analysis to production-ready code—using a sophisticated multi-agent architecture. In this role, you will go beyond traditional coding by developing and orchestrating specialized AI components that plan, write, and validate software. You will be at the forefront of the Agentic AI revolution, working for a global leader in the payment industry to redefine how software is built.

Tech Stack: Python, LangGraph, LangSmith, Generative AI (Claude Code, OpenAI, etc.), Docker, Bash/Shell, Prompt Engineering, and multi-stack exposure (Java, .NET, Angular).

Essential functions

• Design and develop autonomous AI agents using Python and advanced orchestration frameworks like LangGraph.
• Build and optimize multi-agent architectures where specialized AI components handle requirements, planning, coding, and testing.
• Implement observability and monitoring for AI workflows using LangSmith to ensure high-quality and reliable agent performance.
• Hands-on utilization and integration of Generative AI tools (Claude Code, etc.) to drive the "AI-building-AI" vision.
• Conduct complex prompt engineering to fine-tune the agent’s decision-making and coding capabilities.
• Containerize applications using Docker and manage environments with proficient Bash/Shell scripting.
• Collaborate with cross-functional teams to integrate the AI agent into production environments and diverse tech stacks.
• Maintain an adaptive mindset, proactively solving challenges in an evolving, fast-paced R&D setting.

Qualifications

• Proven experience building or implementing AI agents/workflows using frameworks like LangGraph.
• hands-on software development experience with Python.
• Strong proficiency in Generative AI tools (Claude, GPT, etc.).
• Practical experience with LangSmith for observability and debugging of AI chains.
• Advanced skills in Prompt Engineering and building autonomous logic.
• Proficiency in Bash and Shell scripting for environment management.
• Strong experience with containerization using Docker.
• Ability to work with an adaptive mindset, comfortably switching between different technical challenges.

Would be a plus

• Multi-stack literacy: Basic knowledge of Java (Maven/Gradle), .NET, or Angular to help the AI agent navigate diverse codebases.
• Experience in the Fintech or Payment Processing industry (understanding of secure coding and financial systems).
• Knowledge of CI/CD pipelines and automated testing at scale.
• Experience with distributed systems and cloud infrastructure (AWS, Azure, or GCP).
• Contributions to AI-related open-source projects or LLM research.

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.