Delivery Module Lead

Responsibilities

• 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
• 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
• Develop and maintain APIs, microservices, and data pipelines
• Design and manage data storage solutions (e.g., relational and NoSQL databases such as MongoDB)
• Architect scalable, secure solutions across cloud platforms (e.g., Azure, AWS)
• Ensure integration between UI, APIs, and AI services
• Implement orchestration layers that manage AI prompts, workflows, and results
• Enable features such as requirement extraction, evaluation, and insights generation
• 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

Requirements

• 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:
• Frontend: React, Angular, or Vue.js
• Backend: Node.js, Java, Python, or similar
• API development and microservices architecture
• Experience with AI/ML technologies:
• Working with LLM APIs (e.g., OpenAI, Azure OpenAI, etc.)
• Implementing AI-driven workflows (e.g., summarization, scoring, classification)
• Experience with databases and data engineering:
• SQL and NoSQL (e.g., MongoDB, PostgreSQL)
• Data modeling and processing pipelines
• Familiarity with cloud platforms (Azure preferred), DevOps, and CI/CD

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

Key Skills & Competencies

• Strong problem-solving and analytical skills
• Ability to translate business requirements into scalable technical solutions
• Excellent communication and stakeholder management skills
• Passion for innovation and emerging AI technologies