Role Description

REQUIREMENTS: Total experience 4+ years. Must have deep research expertise, hands-on system prototyping, and the ability to translate novel ideas into scalable, production-ready AI systems. Must have exposure to any of these topics Agentic AI & Multi-Agent Systems, Knowledge Graphs & Neuro-Symbolic Reasoning, Agentic Memory Systems, LLMs & Advanced Reasoning Should be able to lead end-to-end research projects from problem formulation to evaluation Should be able to develop prototypes and reference implementations demonstrating novel ideas Should be able to balance exploratory research with applied, product-oriented innovation Should be able to contribute to long-term research roadmaps aligned with business goals Must publish research in top-tier conferences and journals (e.g., CAI, NeurIPS, ICML, ICLR, AAAI, ACL, EMNLP, IJCAI, KDD, JMLR) Should be able to file patents and technical disclosures based on research outcomes Should be able to contribute to internal whitepapers and technical strategy documents Should work closely with engineering teams to transition research prototypes into scalable systems Should be able to design experiments and benchmarks on real-world datasets Should be able to influence platform architecture decisions for agentic AI systems Should be able to mentor junior researchers and research engineers Should be able to collaborate across research, platform, and product teams Should be able to review papers, proposals, and experimental designs Must be PhD in Artificial Intelligence, Machine Learning or related field from tier 1 institute RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the clients’ requirements. Defining guidelines and benchmarks for NFR considerations during project implementation. Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it. Understanding and relating technology integration scenarios and applying these learnings in projects. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.