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