TE-7 Years and above
NP-Immediate-15 days
Location- Bangalore
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.
Required Skills & Experience
- 8+ 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.
Good to Have
- 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.
Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central, and Eastern Europe. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe.
To learn more about Grid Dynamics, please visit www.griddynamics.com. Follow us on Facebook, Twitter, and LinkedIn.
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