Grid Dynamics - Senior Machine Learning Engineer - Generative AI

Role : Machine Learning Engineer

We are seeking a Machine Learning Engineer with a strong background in backend development and hands-on experience in building agentic systems using Generative AI technologies.

In this role, you'll work at the intersection of AI and payment technology to develop scalable AI-powered systems, design intelligent agents, and contribute to the development of innovative GenAI-driven applications.

You will be responsible for architecting and implementing robust backend systems while integrating cutting-edge AI capabilities such as Retrieval-Augmented Generation (RAG), prompt engineering, and intelligent agent frameworks.

Key Responsibilities :

- Design, develop, and maintain robust Python-based backend systems with a focus on scalability, performance, and security.

- Integrate and work with AI Agent frameworks and agentic development patterns.

- Build and deploy RAG (Retrieval Augmented Generation) pipelines and intelligent APIs

powered by Generative AI.

- Develop and consume RESTful APIs to support data exchange and service integration.

- Work with relational databases such as MySQL and PostgreSQL for structured data

management.

- Utilize Docker for containerization and deploy services in microservices architecture.

- Collaborate with cross-functional teams to drive innovation and delivery of AI-first features.

- Apply prompt engineering techniques to fine-tune LLM interactions and outputs.

- Use tools such as Vibe (or equivalent AI coding assistants) to enhance development

workflows.

- Stay current with emerging trends in Generative AI and continuously explore ways to apply

them within our systems.

Requirements :

- Strong experience with object-oriented programming and backend software engineering.

- Experience working with any AI Agent frameworks (e.g., LangChain, AutoGPT, CrewAI,

Semantic Kernel).

- Solid understanding of RESTful API design and implementation.

- Hands-on experience with relational databases (MySQL, PostgreSQL).

- Proficiency with version control tools, especially Git.

- Familiarity with Docker for containerization and environment replication.

- Experience working with microservices and distributed systems.

- Working knowledge of Vibe or similar AI coding tools.

- Solid understanding and experience with Generative AI technologies (e.g., LLMs, RAG, prompt

engineering).

- Demonstrated ability to creatively apply GenAI in solving real-world problems, ideally in

FinTech or payments.

- Get-it-done mindset : fast learner, self-starter, and proactive problem solver.

Preferred Qualifications :

- Contributions to open-source AI/ML projects or published work in the GenAI space.

- Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment.