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
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