AI Fullstack Software Engineer

About the role

We are looking for an AI Full Stack Developer who is passionate about building end-to-end AI solutions that combine modern software engineering, Large Language Models (LLMs), Machine Learning, and intelligent automation. This role is responsible for designing, developing, deploying, and optimizing scalable AI-powered applications that solve real business challenges while ensuring performance, security, and maintainability.

Key responsibilities

• Design, develop, and maintain end-to-end AI-powered web applications using modern full-stack technologies.

• End-to-end design, development, and maintenance of independent microservices and modular frontends, including OCR-based document processing, secure and high-availability system topologies, and PDP-compliant low-latency infrastructure.

• Build and deploy AI solutions leveraging Large Language Models (LLMs), Machine Learning, Retrieval-Augmented Generation (RAG), and AI Agents.

• Develop efficient, scalable, and reusable AI tools and frameworks to improve business productivity and automation.

• Design, train, evaluate, and deploy Machine Learning models for prediction, classification, recommendation, and intelligent decision support.

• Build secure backend services, REST/GraphQL APIs, and responsive frontend applications.

• Integrate AI solutions with enterprise systems, databases, third-party APIs, and cloud platforms.

• Optimize AI applications for performance, scalability, accuracy, latency, and cost efficiency.

• Collaborate with Product Owners, UI/UX Designers, Data Engineers, and business stakeholders to translate business requirements into AI solutions.

• Implement CI/CD pipelines, containerization, monitoring, and DevOps best practices for AI applications.

Qualification:

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field.

• Minimum 5 years of experience in Full Stack Software Development, with proven experience delivering production-grade applications.

• Proven hands-on experience building AI applications using Large Language Models (LLMs) such as OpenAI, Claude, Gemini, Azure OpenAI, AWS Bedrock, or open-source LLMs.

• Strong expertise in Machine Learning, including model development, training, evaluation, deployment, and MLOps practices.

• Experience with AI frameworks such as LangChain, LangGraph, LlamaIndex, AI Agents, Prompt Engineering, Function Calling, and Retrieval-Augmented Generation (RAG).

• Proficiency in Python and JavaScript/TypeScript, with experience in frontend frameworks (React/Next.js) and backend frameworks (FastAPI, Node.js, or .NET).

• Experience working with relational databases, NoSQL databases, and vector databases.

• Familiarity with cloud platforms (Azure, AWS, or GCP), Docker, Kubernetes, Git, and CI/CD pipelines.

• Strong understanding of software architecture, API design, security best practices, and scalable application development.

• Excellent analytical, problem-solving, and communication skills, with the ability to work independently and thrive in a fast-paced, agile environment.