Remote Ai engineer – generative ai & agentic ai Jobs – 50 Open Jobs Today

Director, Quality Engineering & AI Testing
Netomi —Remote
- Full-time
- Remote
- Master's degree
- AWS
- Machine learning
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ML Engineer
Delphic Global —Remote
- ₹16,00,000 - ₹18,00,000 a year
- Full-time
- Remote
- Azure
- Master's degree
- Machine learning
Quick apply
12h
Principal AI/ML Architect
Technology Next —Remote
- ₹90,000 - ₹1,10,000 a month
- Full-time
- Remote
- Azure
- Master's degree
- AWS
Quick apply
10h
Scrum Master/Project Manager
CloudiQS —Remote
- ₹5,46,697.54 - ₹18,70,453.27 a year
- Full-time
- Remote
- AWS
- Project management
- Agile
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Senior Technical Consultant - AI Platform Engineer
AHEAD —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
- Health insurance
- Paid time off
13d
Technical Lead / Engineering Manager, Full Stack - Gen AI (India)
Codvo.ai —Remote
- Remote
- Computer Science
- Salesforce
- Data analysis skills
Sr. Data Engineer
SkyPoint Cloud —Remote
- Full-time
- Azure
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4h
ML Engineer
TECH NEXT —Remote
- Full-time
- Remote
- Azure
- Master's degree
- Machine learning
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Senior MLOps Engineer
ClusterNeuron —Remote
- Up to ₹1,00,000 a month
- Remote
- Azure
- AWS
- Machine learning
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6d
Machine Learning Engineer
Norstella —Remote
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
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Manager / Area Manager Artificial Intelligence
Tata Steel Ltd —Remote
- Remote
- Azure
- Master's degree
- SQL
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Manager / Area Manager Artificial Intelligence
Tata Steel —Remote
- Remote
- Azure
- Master's degree
- SQL
Lead Data Scientist
Technology Next —Remote
- ₹90,000 - ₹1,30,000 a month
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
Quick apply
Software Developer IV (Golang & Kubernetes)
Rackspace —Remote
- Full-time
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- Azure
- Writing skills
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Senior Technical Sales Engineer
Innovecture —Remote
- Full-time
- Remote
- Azure
- Sales
- Salesforce
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AI/ML Architect
Technology Next —Remote
- ₹90,000 - ₹1,20,000 a month
- Full-time
- Remote
- Azure
- Master's degree
- Databases
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17h

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Director, Quality Engineering & AI Testing
Netomi —Remote
If you would like more information about how your data is processed, please contact us. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises…
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ML Engineer
Delphic Global —Remote
We are looking for an experienced ML Engineer with 6–8 years of hands-on experience in Machine Learning, Python, Generative AI, Agentic AI, and Microsoft Azure.
₹16,00,000 - ₹18,00,000 a year
Quick apply
12h

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Director, Quality Engineering & AI Testing

Netomi -
Remote

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Job details

Full-time

Qualifications

CI/CD
Law
Test automation
Master's degree
AWS
Quality assurance
Machine learning
Distributed systems
Continuous integration
APIs
SaaS
AI
Leadership
SDLC

Full job description

About the Company:

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

We are seeking a highly experienced Director of Quality Engineering & AI Testing to lead our global quality organization and establish world-class testing practices for enterprise SaaS and AI-driven products.

This leader will be responsible for building quality strategy, scaling test automation, improving release confidence, and driving reliability across platform, AI, and customer-facing solutions. The ideal candidate combines deep expertise in software quality engineering with modern approaches to AI testing, automation, and continuous delivery.

This role will partner closely with Engineering, Product Management, Applied AI, Customer Success, and Delivery teams to ensure Netomi delivers highly reliable, scalable, and secure enterprise-grade solutions.

Responsibilities:

Quality Strategy & Leadership:

Define and execute the company-wide quality engineering strategy.
Build and scale a high-performing global QA and Quality Engineering organization.
Establish quality standards, governance, metrics, and release readiness frameworks.
Drive a quality-first culture across Product, Engineering, and Delivery teams.

Test Automation & Engineering Excellence:

Lead the design and implementation of scalable automated testing frameworks.
Increase automation coverage across UI, API, integration, regression, and performance testing.
Define best practices for CI/CD quality gates and release validation.
Partner with Engineering to embed quality throughout the software development lifecycle.

AI & Agentic Testing:

Develop testing frameworks for AI-powered agents, workflows, prompts, and LLM-driven experiences.
Establish methodologies for evaluating accuracy, hallucinations, guardrails, safety, and reliability.
Drive automated evaluation strategies for AI agent behavior and customer outcomes.
Collaborate with Applied AI teams on model validation and production monitoring.

Enterprise Platform Quality:

Ensure quality across APIs, integrations, workflows, web applications, and enterprise deployments.
Lead performance, scalability, reliability, and security testing initiatives.
Improve defect prevention and root-cause analysis processes.
Establish production quality monitoring and feedback loops.

Metrics & Continuous Improvement:

Define KPIs around release quality, defect leakage, automation coverage, customer-impacting incidents, and platform reliability.
Analyze trends and implement continuous improvement initiatives.
Drive operational excellence through data-driven decision-making.

Team Leadership:

Recruit, mentor, and develop QA managers, automation engineers, and quality engineers.
Build career frameworks and competency models for the quality organization.
Foster a culture of ownership, innovation, and continuous learning.

Required Experience:

12+ years of experience in Software Quality Assurance, Quality Engineering, or Testing.
5+ years of leadership experience managing global QA organizations.
Experience leading quality functions within enterprise SaaS companies.
Strong background in test automation, CI/CD, and modern engineering practices.
Experience testing distributed systems, APIs, cloud-native applications, and enterprise integrations.
Proven track record of scaling quality organizations in high-growth environments.

Preferred Experience:

Experience with AI, Generative AI, Conversational AI, Agentic AI, or Machine Learning products.
Experience designing testing strategies for LLM-based applications.
Familiarity with prompt evaluation, model validation, and AI quality metrics.
Experience working with enterprise customers and large-scale deployments.

Technical Expertise:

Test Automation Frameworks
API Testing
Performance & Load Testing
CI/CD Pipelines
Cloud Platforms (AWS preferred)
Microservices Architecture
AI/LLM Testing Methodologies
Security & Reliability Testing

Success Metrics:

Within the first 12 months, this leader will:

Significantly improve automation coverage across the platform.
Reduce escaped defects and production incidents.
Establish a scalable AI testing and evaluation framework.
Improve release velocity while maintaining high quality standards.
Build a world-class Quality Engineering organization aligned with Netomi's growth objectives.

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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ai engineer – generative ai & agentic ai jobs in remote

Director, Quality Engineering & AI Testing

ML Engineer

Principal AI/ML Architect

Scrum Master/Project Manager

Senior Technical Consultant - AI Platform Engineer

Technical Lead / Engineering Manager, Full Stack - Gen AI (India)

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ML Engineer

Senior MLOps Engineer

Machine Learning Engineer

Manager / Area Manager Artificial Intelligence

Manager / Area Manager Artificial Intelligence

Lead Data Scientist

Software Developer IV (Golang & Kubernetes)

Senior Technical Sales Engineer

AI/ML Architect

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