Design, implement, and optimize agentic AI components, including tools, memory management, and prompts.
Develop and maintain golden datasets by defining sourcing strategies, working with data vendors, and ensuring quality and representativeness at scale.
Prototype and evaluate novel prompting strategies and reasoning chains for model reliability and interpretability.
Collaborate cross-functionally with product, data, and infrastructure teams to deliver end-to-end AI-powered insights.
Operate autonomously in a fast-paced, ambiguous environment
defining scope, setting milestones, and driving outcomes.
Ensure reliability, performance, and observability of deployed agents through rigorous testing and continuous improvement.
Maintain a strong bias for action—delivering incremental, well-tested improvements that directly enhance customer experience.

B.Tech, M.Tech, or Ph.D. in Computer Science, Data Science, or a related field.
6+ years of hands-on industry experience with demonstrable ownership and delivery.
Strong understanding of machine learning fundamentals, data pipelines, and model evaluation.
Proficiency in Python and ML/data libraries (NumPy, pandas, scikit-learn); familiarity with JVM languages is a plus.
Working knowledge of LLM core concepts, prompt design, and agentic design patterns.
Experience with distributed systems and dealing with large amounts of data.
Strong communication skills and a passion for shaping emerging AI paradigms.

Senior Software Engineer

Key skills