Location
Remote / Work-from-Home
Job Category
- Information Technology (IT) & Software
- Engineering & Technical
- Science & Research
- Remote / Work-from-Home Opportunities
- IT & Software Jobs
- Remote Jobs
- Private Jobs
Job Overview
An exciting remote opportunity is available for an experienced AI/ML Engineer with strong expertise in Python, React, Generative AI applications, and full-stack software development. This role is ideal for senior software engineering professionals who have successfully delivered scalable backend and frontend solutions while leading technical initiatives across multiple teams.
The position requires extensive hands-on experience in production-grade Generative AI systems, including Large Language Model (LLM) integrations, Retrieval-Augmented Generation (RAG) architectures, vector databases, evaluation frameworks, and cloud-native deployments. The successful candidate will play a key role in designing, developing, and scaling AI-powered applications while driving engineering excellence and technical innovation.
This opportunity offers significant career growth for professionals seeking to work on cutting-edge AI technologies, enterprise software solutions, cloud infrastructure, and agentic engineering workflows. The role provides exposure to advanced AI development practices, technical leadership responsibilities, and continuous professional development in a rapidly evolving technology landscape.
Key Responsibilities
- Design, develop, and maintain full-stack AI-powered applications.
- Build scalable backend services using Python and modern API frameworks.
- Develop responsive frontend applications using React and Next.js.
- Implement and optimize LLM integrations and Generative AI solutions.
- Design and deploy RAG systems, vector database architectures, and evaluation pipelines.
- Build and maintain cloud-native infrastructure and deployment environments.
- Develop and manage CI/CD pipelines for automated testing and deployment.
- Implement infrastructure-as-code solutions using Terraform or CloudFormation.
- Select and optimize database technologies based on business requirements.
- Collaborate with cross-functional teams to deliver enterprise-grade solutions.
- Lead technical initiatives and mentor engineering teams.
- Design and implement agentic engineering workflows and AI-assisted development practices.
Requirements & Qualifications
Education
- Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related discipline.
- Master’s Degree is advantageous but not mandatory.
Technical Skills
- Python
- JavaScript
- TypeScript
- React.js
- Next.js
- Full-Stack Development
- Generative AI Application Development
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- API Development
- AWS Cloud Services
- Azure (Preferred)
- Google Cloud Platform (Preferred)
- Terraform
- CloudFormation
- PostgreSQL
- Redis
- Document Databases
- Containerization Technologies
- GitHub Actions
- CI/CD Pipelines
- Production Deployment Strategies
AI & Machine Learning Expertise
- LLM Integrations
- Prompt Engineering
- AI Evaluation Pipelines
- Agentic Workflows
- AI-Assisted Software Development
- Production AI Systems
Experience Requirements
- 7–9 years of professional software engineering experience.
- Demonstrated full-stack development expertise across frontend and backend systems.
- Minimum 2 years of Generative AI application development experience.
- Experience building production-scale AI and cloud-based applications.
- Proven technical leadership across multiple teams and projects.
Preferred Qualifications
- Experience with Claude Code, Cursor, GitHub Copilot, or similar AI coding platforms.
- Experience training engineering teams on AI-assisted development workflows.
- Experience with enterprise-scale cloud infrastructure and deployment environments.
Soft Skills
- Technical leadership
- Strategic problem-solving
- Communication and collaboration
- Mentoring and coaching
- Stakeholder management
- Innovation and continuous learning mindset
Salary, Benefits & Career Growth
Benefits
- Fully remote work opportunity.
- Exposure to advanced Generative AI and enterprise software projects.
- Opportunity to work with cutting-edge cloud and AI technologies.
- Collaborative engineering environment.
- Involvement in large-scale AI transformation initiatives.
Career Growth Opportunities
- Progression into Staff Engineer, Principal Engineer, Engineering Manager, AI Architect, or Technical Director roles.
- Exposure to enterprise AI strategy and platform development.
- Opportunities to lead cross-functional engineering initiatives.
- Long-term growth within AI, cloud computing, and software architecture domains.
Training, Certification & Professional Development
- Continuous exposure to emerging AI technologies and frameworks.
- Opportunities to strengthen cloud platform expertise.
- Advanced experience with AI engineering workflows and automation.
- Professional development through enterprise-scale technology projects.
Application Process
Application Process (Website)
Apply only through the official job link.
Click Apply Now on the website.
HR Email for Application
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