Python Full Stack Developer
Key Responsibilities
- Design and develop scalable backend systems using Python and microservices architecture.
- Build and deploy end-to-end agentic AI systems using modern GenAI patterns.
- Implement and optimize Retrieval-Augmented Generation (RAG) pipelines integrating vector databases and knowledge sources.
- Work on LLM fine-tuning, model selection, and evaluation across different AI models.
- Design and implement multi-agent architectures and orchestration workflows.
- Develop and maintain integrations with vector databases and embeddings for intelligent retrieval.
- Build reliable, production-ready AI systems with strong focus on performance, scalability, and maintainability.
- Collaborate across teams to apply GenAI solutions within payment technology use cases.
- Maintain code quality using version control, CI/CD practices, and containerized deployments.
- Drive innovation and experimentation with emerging GenAI tools and frameworks.
Essential functions
- 5-7 years of professional experience in backend development using Python.
- Strong proficiency in Python and object-oriented programming concepts.
- Experience with microservices architecture.
Qualifications
- 5-7 years of professional experience in backend development using Python.
- Strong proficiency in Python and object-oriented programming concepts.
- Hands-on experience with:
LLM fine-tuning and model evaluation
Embeddings and vector databases
Retrieval-Augmented Generation (RAG)
MCP and multi-agent architecture
End-to-end agentic system development - Experience with microservices architecture.
- Strong experience with Git and collaborative development workflows.
- Familiarity with Docker and containerization.
- Strong problem-solving skills and attention to detail.
- Familiarity with Vibe coding tools.
- “Get-it-done” mindset with the ability to quickly learn and implement new technologies.
Would be a plus
- Experience designing and implementing RESTful APIs.
- Experience with relational databases such as MySQL or PostgreSQL.
- Practical understanding of generative AI technologies and real-world applications.
- Experience with AI agent frameworks and agentic design patterns.
- Prompt engineering expertise.
- Experience building production-grade GenAI RAG systems.
- Ability to innovate and apply GenAI solutions within the payment technology domain.
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.
