NeGD AI Safety Researcher Recruitment 2026 – Apply Online

National e-Governance Division (NeGD), New Delhi, Delhi, has invited applications for the post of AI Safety Researcher. Applications are accepted online until 13 November 2026.

The post is for Delhi. Qualification required: As per notification. Eligibility, dates and the steps to apply are given below.

Key Points

• Last date: 13 November 2026
• Vacancies: 1
• How to apply: Online
• Fee: No application fee is mentioned in the notification
• Place: Delhi

NeGD AI Safety Researcher Recruitment 2026 - Overview

The official notification does not specify the application fee.

NeGD Notification PDF 2026

The official notification gives the full conditions for the post, including anything not covered in the tables on this page. Read it before applying. The download link is in the Important Links table below.

Download NeGD notification PDF

Eligibility Criteria

• Qualification: B.Tech./B.E. or M.Tech./M.S./M.Sc. in Computer Science, Information Security, AI/ML, or a related quantitative discipline
• 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
• Certifications (Desirable): OSCP, GWAPT or CEH combined with demonstrable AI/ML security work; DeepLearning.AI or equivalent ML foundations; MLSecOps or LLMsecurity specialist certifications where available
• Non-traditional backgrounds with demonstrable adversarial ML research, published safety work, credible LLM red-team disclosures, or CTF/red-team achievements will be considered in lieu of formal qualification

NeGD AI Safety Researcher Job Description

The responsibilities for the AI Safety Researcher position include:

• Design and execute adversarial attack campaigns - evasion, model inversion, membership inference, model extraction, data poisoning - against pod deliverables including document intelligence, predictive-analytics and fraud-scoring models, and visual AI, face-embedding and liveness models.
• Develop and maintain a reusable adversarial ML attack library and test harness for repeatable pre-production evaluation.
• Produce adversarial-robustness reports for each pod service with quantitative measures, reproducible attack notebooks, and prioritised mitigation guidance.
• Lead structured red-team exercises against LLM, RAG and agentic AI deployments across the programme, covering prompt injection, jailbreaks, indirect prompt injection via retrieved documents, data exfiltration, unsafe tool invocation, sandbox escape and policy-boundary violations by agents.
• Develop and maintain red-team playbooks tailored to government AI use cases; publish anonymised playbooks and evaluation sets to AIKosh under standard metadata.
• Advise pods on guardrail selection, output filtering, RAG source-integrity controls, retrieval provenance, and agent policy design.
• Design and run hallucination measurement, groundedness checks, and calibration/uncertainty evaluation for RAG systems and generative outputs across teams.
• Run bias and fairness audits using quantitative metrics - demographic parity, equalised odds, calibration, subgroup accuracy.
• Conduct explainability evaluation (SHAP, LIME, Captum) and lightweight privacy impact assessments on team deliverables.
• Author the technical safety evaluation content in model cards, dataset sheets, bias/hallucination/safety evaluation reports, and Responsible AI evidence per the MeitY Responsible AI advisory and the IndiaAI Safe & Trusted AI framework.
• Own AI-specific threat modelling end-to-end for all pod systems under development - STRIDE, MITRE ATT&CK, MITRE ATLAS and OWASP Top 10 for LLMs - including data pipelines, retrieval sources, model artefacts, prompt paths, tool interfaces and output surfaces.
• Review deployment configurations across IndiaAI Compute, on-premise/sovereign GPU and CSP-API paths for AI-specific security risks; recommend controls and defensive patterns.
• Contribute AI security and Responsible AI requirements to NeGD RFQs, RDRs and procurement documents; review empanelled-agency proposals for AI security posture.
• Advise each team’s AI QA Engineer on safety and Responsible AI test design, sample selection, evaluation metrics and evidence capture.
• Brief and upskill teams on AI-specific security concerns and Responsible AI controls.
• Track adversarial ML, LLM safety, agentic-AI safety and Responsible AI research literature; translate relevant findings into team-usable checks, controls and evaluation additions.
• Maintain the programme’s open-source AI safety testing toolkit; deposit reusable notebooks, evaluation harnesses and playbooks to OpenForge, and publish reusable evaluation sets and safety artefacts to AIKosh under standard metadata for reuse.

Pay and Terms of Engagement

• Contractual basis, initially for a period of three years, with possible extensions based on project requirements.

Important Dates

How to Apply for NeGD Recruitment 2026 Online

1. Get the application form: 'Apply Here' link on the NeGD openings details page.
2. Fill in the form and attach self-attested copies of your certificates.
3. Apply on or before 13 November 2026.

NeGD AI Safety Researcher Recruitment 2026 - Important Links