Full Stack AI Engineer

Description:

We are seeking a highly skilled and innovative Full Stack AI Developer to design, develop, and deploy intelligent, scalable applications that leverage modern AI/ML capabilities. This role combines deep full stack engineering expertise with hands-on experience integrating AI models into enterprise-grade systems.

The ideal candidate thrives in a fast-paced environment, collaborates with cross-functional teams, and plays a key role in delivering AI-driven solutions that enhance business processes, decision-making, and user experiences.

Responsibility

Full Stack Development

• Design and develop end-to-end applications across frontend, backend, and data layers
• Build responsive, scalable user interfaces and APIs to support AI-powered features

AI/ML Integration

• Integrate Large Language Models (LLMs) and machine learning models into applications
• Develop workflows that leverage AI for tasks such as summarization, classification, evaluation, and automation
• Collaborate with data scientists to operationalize models in production

Backend & Data Engineering

• Develop and maintain APIs, microservices, and data pipelines
• Design and manage data storage solutions (e.g., relational and NoSQL databases such as MongoDB)

System Architecture

• Architect scalable, secure solutions across cloud platforms (e.g., Azure, AWS)
• Ensure integration between UI, APIs, and AI services

AI-Oriented Application Design

• Implement orchestration layers that manage AI prompts, workflows, and results
• Enable features such as requirement extraction, evaluation, and insights generation

Collaboration & SDLC

• Work with product managers, business stakeholders, and UX teams to gather requirements
• Participate in full SDLC including design, development, testing, and deployment
• Ensure code quality, security compliance, and best practices

Required Qualifications

• Bachelor s or Master s degree in Computer Science, Engineering, or related field
• 5+ years of experience in full stack software development
• Strong proficiency in:

o Frontend: React, Angular, or Vue.js

o Backend: Node.js, Java, Python, or similar

o API development and microservices architecture

• Experience with AI/ML technologies:

o Working with LLM APIs (e.g., OpenAI, Azure OpenAI, etc.)

o Implementing AI-driven workflows (e.g., summarization, scoring, classification)

• Experience with databases and data engineering:

o SQL and NoSQL (e.g., MongoDB, PostgreSQL)

o Data modeling and processing pipelines

• Familiarity with cloud platforms (Azure preferred), DevOps, and CI/CD

Preferred Qualifications

• Experience building enterprise AI applications (e.g., recruiting tools, evaluation systems, chatbots)
• Knowledge of prompt engineering and AI orchestration frameworks
• Experience with containerization (Docker, Kubernetes)
• Exposure to security, compliance, and governance in AI systems