Full Stack Developer – AI
- Compensation
- 15–20 / hr
- Location
- India
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Contract
- Experience
- Not specified
- Category
- Fullstack
- Posted
Skills
Must have
- Full Stack Development: Strong experience in full stack software development, including frontend and backend application engineering.
- Frontend Technologies: Practical experience with React, Angular, and Node.js for building and maintaining modern applications and services.
- Generative AI Expertise: Hands-on experience with LLMs, RAG pipelines, and prompt engineering, along with an understanding of GenAI application architecture.
- AI Lifecycle Knowledge: Familiarity with AI model lifecycle management, integration patterns, and the challenges associated with deploying AI-powered applications in production.
- Cloud Platforms: Experience working with Microsoft Azure and/or AWS cloud environments.
- DevOps and Containerization: Knowledge of CI/CD pipelines, Docker, Kubernetes, and modern software deployment practices.
- Database Technologies: Strong understanding of SQL and NoSQL databases, with familiarity with vector databases and data ingestion frameworks.
- Production Operations: Experience supporting production applications, troubleshooting complex technical issues, conducting root cause analysis, and implementing sustainable fixes.
- AI Quality and Reliability: Awareness of AI-specific risks, including hallucinations, model drift, bias, and reliability challenges.
- Analytical Skills: Strong problem-solving, debugging, and performance optimization capabilities, with a structured approach to technical challenges.
- Communication and Collaboration: Excellent communication skills and the ability to work effectively with cross-functional teams in a fast-paced technical environment.
- Work Approach: A proactive, quality-focused mindset, with the ability to balance application development, operational support, and continuous improvement.
Full description
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Full Stack Developer – AI based in India.
Join a technology-driven team focused on building, maintaining, and optimizing production-ready Generative AI applications. In this role, you will contribute to the full software development lifecycle, from enhancing frontend experiences and backend services to integrating advanced AI capabilities. You will work hands-on with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering to deliver reliable, scalable AI-powered solutions. Your expertise will help troubleshoot complex production issues, improve application performance, and strengthen platform stability. Collaborating with engineering, support, and cloud infrastructure teams, you will drive continuous improvement and operational excellence. This 12-month contract offers an opportunity to work with modern AI technologies and cloud-native development practices in a dynamic engineering environment.
Accountabilities
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Full Stack Development: Develop, maintain, and enhance frontend applications, backend services, APIs, and microservices to support production GenAI solutions.
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Generative AI Integration: Implement and support AI-powered features using Large Language Models (LLMs), RAG pipelines, prompt engineering, and related technologies.
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Production Support and Troubleshooting: Diagnose and resolve complex application and platform issues, perform root cause analysis (RCA), and implement corrective actions to minimize recurring incidents.
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Performance Optimization: Improve application responsiveness, scalability, reliability, and overall performance across production environments.
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Cloud and Infrastructure: Support application deployment and operations on Azure and/or AWS, applying best practices for cloud environments, containerization, and infrastructure management.
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CI/CD and DevOps: Implement and maintain continuous integration and continuous delivery pipelines using tools and practices involving Docker, Kubernetes, and automated deployment workflows.
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Data Management: Develop and maintain database integrations, data ingestion processes, and supporting infrastructure for SQL, NoSQL, and vector database technologies.
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AI Reliability and Quality: Monitor and address GenAI reliability challenges, including hallucinations, model drift, bias, and other factors affecting application quality and user trust.