Remote Java full stack Jobs – 90 Open Jobs Today

Senior AI Engineer
Azoca Technologies Pvt Ltd —Remote
- Up to ₹15,00,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
Golang Developer with Docker and Kubernetes
MNJ Software —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
- Work from home
Meta Developer
Pattem Digital —Remote
- Full-time
- Remote
- Azure
- Salesforce
- Java
Technical Recruiter
Advrd —Remote
- ₹5,000 - ₹10,000 a month
- Part-time
- Remote
- DevOps
- English
- Java
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Security Consultant
Practical DevSecOps —Remote
- Full-time
- Remote
- Azure
- Java
- AWS
- Paid time off
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Salesforce Technical Architect
MNJ Software —Remote
- Full-time
- Remote
- Azure
- Salesforce
- English
- Work from home
Application & Infrastructure Security Consultant
Luxoft —Remote
- Remote
- Azure
- English
- Java
Admission Counselor – Performance Based
Classic learn —Remote
- ₹5,000 - ₹20,000 a month
- Full-time
- Remote
- English
- Java
- Machine learning
- Work from home
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Senior AI Engineer

Azoca Technologies Pvt Ltd
Remote

Quick apply

Job details

Full-time
Up to ₹15,00,000 a year

Qualifications

CI/CD
Six Sigma Certification
Azure
Go
Cloud architecture
Law
Computer Science
Kubernetes
Full-stack development
Enterprise Software
DevOps
Google Cloud Platform
Java
Master's degree
Application development
Microservices
AWS
Machine learning
Continuous improvement
Cloud development
Distributed systems
Continuous integration
APIs
Agile
Lean Six Sigma
Business requirements
Solution architecture
AI
TypeScript
Communication skills
Banking
Python

Full job description

Job Description

About the role

We are looking for a Senior AI Engineer with strong full-stack engineering and AI solution development expertise to architect, build, and scale enterprise-grade intelligent solutions. This role requires a blend of hands-on technical leadership, solution architecture, and AI implementation experience, with the ability to translate business requirements into secure, scalable, and production-ready applications.

The ideal candidate will bring deep expertise in AI-enabled software engineering, system integration, cloud-native development, and DevOps practices, with a strong focus on accelerated delivery through modern engineering methodologies, automation, and continuous improvement. Experience in deploying AI/ML models into enterprise environments, working across cross-functional teams, and driving innovation while maintaining governance, security, and long-term maintainability will be key to success.

What You Bring

● You have 5+ years of experience in software engineering, enterprise application development, or solution architecture, with hands-on exposure to AI/ML-driven solutions.

● You bring strong development expertise in technologies such as Python, Java, TypeScript, or Go.

● You have practical experience integrating AI or machine learning capabilities into enterprise applications or digital platforms.

● You are comfortable working with cloud platforms such as AWS, Azure, or Google Cloud.

● You understand APIs, microservices, distributed systems, containerization, and modern integration patterns.

● You have experience using AI-assisted development tools and engineering productivity accelerators.

● You bring strong experience with Agile delivery, DevOps practices, CI/CD automation, and engineering lifecycle execution.

● You understand secure engineering principles, data privacy considerations, and enterprise governance expectations.

● You are a structured problem solver with strong communication and stakeholder management skills.

Good to have skills / qualifications

● Experience building and scaling machine learning, generative AI, or intelligent automation solutions in production environments.

● Familiarity with MLOps, LLM integration, prompt engineering, model monitoring, and AI validation practices.

● Experience working within banking, fintech, payments, or other highly regulated industry environments.

● An advanced degree in Computer Science, Artificial Intelligence, Engineering, or a related discipline.

● Relevant certifications in cloud architecture, enterprise solution design, platform engineering, or AI/ML, such as AWS/Azure/GCP Solutions Architect, TOGAF, Certified Kubernetes Administrator, with exposure to Lean Six Sigma considered an advantage.

● Experience leading engineering transformation, automation initiatives, or enterprise modernization programs.

● Demonstrated passion for innovation through open-source contributions, experimentation with emerging technologies, or adoption of modern engineering practices.

Pay: Up to ₹1,500,000.00 per year

Work Location: Remote

Quick apply

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