Data Engineer – AIML / LLM / Agentic AI

We are seeking a highly skilled Data Engineer with strong AIML (LLMs, Generative AI, Agentic AI) and Python expertise to design, develop, and implement AI/ML-driven solutions for Test Automation within the Securities Processing domain.

The ideal candidate will work on building innovative AIML solutions for Test Case Generation, Test Prioritization, Defect Triage, Reporting, Code Coverage, and Automation Framework Migration/Setup.

AIML concepts, LLMs, Agentic AI, Python, and modern AI workflows.

• Design, develop, and implement AIML-driven automation solutions for software testing.
• Build solutions for Test Generation, Test Prioritization, Defect Triage, and Code Coverage analysis.
• Develop Generative AI and Retrieval-Augmented Generation (RAG)–based workflows.
• Work with Large Language Models (GPT, Claude, etc.) for domain-specific problem solving.
• Implement Agentic AI workflows, including copilots, autonomous AI agents, and MCP-based systems.
• Build, train, fine-tune, and evaluate AIML models for automation use cases.
• Develop Python-based data pipelines and algorithms using NLTK, NumPy, Scikit-learn, Pandas.
• Collaborate with cross-functional teams in an Agile setup (sprint planning, refinement, retrospectives).
• Integrate solutions with test automation frameworks and CI/CD pipelines.
• Implement deployment of AIML services using Docker and Kubernetes (preferred).
• Develop simple UIs or dashboards using React (added advantage).
• Ensure adherence to AIML lifecycle principles, quality assurance practices, and software development standards.
• Communicate effectively with technical and business stakeholders.