AI Safety Researcher Recruitment at Digital India Corporation 2026

Pan India Posted Last verified

Quick Info

Vacancies
Vacancies: 1
Employment Type
Employment Type: Full Time
Pay Scale
Pay Scale: ₹481,251 per month
Qualification
Qualification: Applicants should hold a B.Tech./B.E. or M.Tech./M.S./M.Sc. in Computer Science, Information Security, AI/ML, or a related quantitative discipline. An advanced degree (M.Tech./M.S./Ph.D.) with a thesis or published work in adversarial ML, AI security, LLM safety, or Responsible AI is highly desirable.
Experience Required
Experience Required: A minimum of 6+ years total experience in ML, applied AI, security research, or a closely related discipline is required, with at least 3 years specifically in adversarial ML, AI red teaming, LLM safety evaluation, or AI/ML security research.
Application Mode
Application Mode: Apply Online
Deadline
Deadline:

Digital India Corporation is recruiting for the critical role of AI Safety Researcher in 2026, offering a unique opportunity for experts in adversarial ML, AI security, and LLM safety to contribute to government AI initiatives. This position is ideal for professionals dedicated to ensuring the responsible and secure development of AI systems across various public sector programs. Candidates with a strong background in AI red teaming and model security testing are encouraged to review the official notification for detailed eligibility and application procedures.

  • This role is crucial for safeguarding government AI systems against adversarial attacks and ensuring responsible AI deployment.
  • Candidates with hands-on experience in LLM red-teaming and adversarial ML work will find this a highly relevant and impactful career step.
  • The position involves contributing to national AI frameworks and advising on AI-specific security concerns across various government projects.
  • Applicants should prepare educational, experience, and technical competency documents for the online application process.
  • Early application is recommended to avoid last-minute technical issues on the recruitment portal.
Notification

Official Information

Use these links to view the official notification, recruitment page, or updates. They are not additional application steps unless stated in How to Apply.

applyforgovt.com is an independent informational platform and is not affiliated with any government organization, PSU, ministry, department, or recruiting authority. Verify details on the official website before applying.

Additional Salary Information

The position offers a remuneration of ₹4,81,251 per month (exclusive of GST), which is 1.5 times the AI/ML Engineer rate.

Important Dates

Posted Date 12 August 2026
Last Date to Apply 14 October 2026

Selection Process

Refer official detailed notification

Application Fees

Refer official detailed notification

Reservation

Refer official detailed notification

How to Apply

  • Visit the official Digital India Corporation recruitment portal.
  • Register or log in to the Online Recruitment Application system.
  • Locate the advertisement for AI Safety Researcher.
  • Fill out the application form with all required personal and professional details.
  • Upload necessary documents, including educational certificates, experience letters, and any relevant publications or certifications.
  • Review the application thoroughly before final submission.

Frequently Asked Questions

Candidates must possess a B.Tech./B.E. or M.Tech./M.S./M.Sc. in Computer Science, Information Security, AI/ML, or a related quantitative discipline. An advanced degree (M.Tech./M.S./Ph.D.) with relevant published work is highly desirable.

A minimum of 6+ years total experience in ML, applied AI, or security research, with at least 3 years specifically in adversarial ML, AI red teaming, LLM safety evaluation, or AI/ML security research, is required.

Key responsibilities include designing and executing adversarial attack campaigns, developing adversarial ML attack libraries, leading LLM and Agentic AI red-teaming exercises, and evaluating hallucination, calibration, and responsible AI aspects for various government AI deployments.