Remote Ml engineer | genai & agentic ai | Jobs – 19 Open Jobs Today

AI/ML Security Engineer – GenAI & Prompt Injection
Ruhumi Technologies —Remote
- Up to ₹80,000 a month
- Remote
- Java
- Master's degree
- Databases
Quick apply
7d
Associate Distinguished Engineer (Solution Architect - GenAI + RAG + Agentic AI)
Nagarro —Remote
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AI & Data Engineer
Anovia —Remote
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Kasmoprav —Remote
- ₹50,000 - ₹60,000 a month
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ML Engineer
Delphic Global —Remote
- ₹16,00,000 - ₹18,00,000 a year
- Full-time
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- Azure
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16h
AI/ML Architect
Technology Next —Remote
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21h
Principal AI/ML Architect
Technology Next —Remote
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- Full-time
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- Azure
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14h
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BuzzBoard —Remote
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TECH NEXT —Remote
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WebSenor InfoTech —Remote
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Python Developer
ᴠᴡᴏʀᴋᴇʀ ꜱᴏʟᴜᴛɪᴏɴꜱ ɪɴᴅɪᴀ ᴘᴠᴛ. ʟᴛᴅ. —Remote
- From ₹30,000 a month
- Part-time
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- Azure
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- Master's degree
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6d
Principal Enterprise AI Architect – Strategic Advisory & Governance
Prahartech —Remote
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Product Owner – AI products & projects (India)
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Product Manager — AI Products
BuzzBoard —Remote
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Senior AI Knowledge & Governance Architect
Webvory —Remote
- ₹50,000 - ₹1,00,000 a month
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10d
Machine Learning Engineer V
Avalara —Remote
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Senior MLOps Engineer
ClusterNeuron —Remote
- Up to ₹1,00,000 a month
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- Azure
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6d
Lead Data Scientist
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AI/ML Security Engineer – GenAI & Prompt Injection

Ruhumi Technologies
Remote

Quick apply

Job details

Contractual / Temporary
Up to ₹80,000 a month
7 days ago

Qualifications

CI/CD
Vulnerability assessment
Law
Kubernetes
Software deployment
Git
Java
Master's degree
Databases
AWS
Docker
Machine learning
Distributed systems
Continuous integration
GitHub
APIs
Agile
AI
Python

Full job description

Category : AI Engineer

Experience: 6 - 7 years [ experience must]

Engagement Type : Contractual

Collaboration Duration : 6 Months

Engagement Mode : Remote

The AI/ML Security Engineer will help develop frameworks, tools, and infrastructure to evaluate, secure, monitor, and govern Machine Learning, Generative AI, and Agentic AI solutions at Workiva. A key focus of this role is identifying and remediating AI security threats, particularly prompt injection, jailbreaks, data leakage, adversarial inputs, and unsafe AI/agent behaviour. The engineer will work closely with AI/ML, security, and product teams to build automated security evaluations, establish security metrics, investigate vulnerabilities, and implement effective remediation and guardrails across the AI/ML lifecycle. This role requires strong programming skills, a solid foundation in software engineering, and hands-on experience with AI/ML security testing and adversarial techniques.

Key Responsibilities:

* Design and develop frameworks for evaluating the security, safety, accuracy, reliability, and performance of ML/GenAI solutions

* Identify, reproduce, and remediate prompt injection and indirect prompt injection vulnerabilities

* Develop automated security and adversarial tests for LLMs and Agentic AI, including jailbreaks, data leakage, and unsafe tool use

* Build and maintain metrics, monitoring, and evaluation capabilities for AI/ML applications

* Collaborate with engineering and security teams to develop AI threat models, security controls, and guardrails

* Investigate vulnerabilities and unexpected behavior across LLMs, AI agents, APIs, and supporting infrastructure

* Contribute to AI/ML infrastructure, CI/CD pipelines, APIs, and automation

* Write scalable, secure, and maintainable code, primarily using Python

* Develop unit, integration, functional, and security tests

* Participate in code reviews, troubleshooting, production support, and security assessments

* Stay current with emerging AI security threats, attack techniques, and defensive strategies

Required Skills:

* 6–7 years of experience in ML Engineering, Software Engineering, AI Security, Application Security, or a

Related field

* Experience with Generative AI, LLMs, and/or Agentic AI

* Understanding of LLM security threats including prompt injection, indirect prompt injection, jailbreaks, and data leakage

* Strong programming skills in Python

* Strong foundation in software engineering, APIs, distributed systems, databases, and testing

* Experience with Git/GitHub and Agile/Sprint development environments

* Strong debugging, analytical, and problem-solving skills

Preferred (Bonus) Skills:

* Experience with AI/ML security testing, adversarial testing, red teaming, vulnerability assessment, or threat modeling

* Experience building AI/ML evaluation, monitoring, or governance frameworks

* Java or other programming languages

* Experience with ML deployment, CI/CD, data pipelines, and production infrastructure

* Hands-on experience with AWS, Docker, and Kubernetes

* Advanced degree with relevant experience

Pay: Up to ₹80,000.00 per month

Work Location: Remote

Quick apply

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