Associate Staff Engineer, Agentic AI

Others - India

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

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 clients 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 :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

Yes

Employment Type :

Full-time

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 Reasoni...

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 clients 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 :

Bachelors or masters degree in computer science Information Technology or a related field.

Remote Work :

Yes

Employment Type :

Full-time

Key Skills

Computer Science
Docker
Kubernetes
Python
VMware
C/C++
Go
System Architecture
gRPC
OS Kernels
Perl
Distributed Systems

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Nagarro

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and susta ... View more

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