Senior Machine Learning Engineer(Python, RAG, REST, MLOps)

2 weeks ago

Vadodara, Gujarat, India Grid Dynamics Full time

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:

  • 4 to 8 years of professional experience in backend development using Python.
  • 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:

  • Experience in the payments or FinTech domain.
  • Contributions to open-source AI/ML projects or published work in the GenAI space.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment.

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