The Development Engineer I plays a crucial role in designing, developing, and implementing software solutions. They are responsible for writing code, debugging and troubleshooting issues, and collaborating with cross-functional teams to deliver high-quality software products. Development Engineers also contribute to improving development processes and practices, ensuring efficient and effective software development.

Role Summary

We are looking for a motivated Associate Developer to join our engineering team and work on Full Stack applications, Cloud-native services, and Generative AI–enabled solutions. This role is ideal for early-career engineers who are excited about modern software development, vibe coding, and hands-on learning with LLMs and AI-powered applications.

You will work closely with senior engineers, architects, and product teams to build scalable applications, experiment with GenAI capabilities, and contribute to real-world enterprise solutions.

Key Responsibilities

Full Stack Development

• Develop and maintain web applications using modern front-end and back-end technologies
• Build responsive UI components and REST/FastAPI/GraphQL APIs
• Write clean, maintainable, and testable code following best practices
• Participate in code reviews and collaborative development

Cloud & Platform Engineering

• Develop and deploy applications on cloud platforms (Azure / AWS / GCP)
• Work with cloud services such as compute, storage, databases, and APIs
• Understand basics of CI/CD pipelines, containers, and cloud security
• Support monitoring, logging, and performance optimization

Generative AI & Vibe Coding

• Assist in building GenAI-powered features such as chatbots, copilots, and assistants
• Work with Agentic Frameworks like Google ADK
• Work with Large Language Models (LLMs) via APIs (prompting, grounding, and responses)
• Learn and apply prompt engineering basics and AI-assisted coding practices
• Use AI tools for productivity (code generation, refactoring, testing, documentation)
• Experiment with embeddings, vector search, and RAG-style patterns (guided learning)

Learning & Collaboration

• Actively learn new technologies, frameworks, and AI concepts
• Collaborate with cross-functional teams (Product, UX, Data, AI)
• Contribute to technical documentation and knowledge sharing
• Follow secure coding, data privacy, and ethical AI guidelines

Required Skills & Qualifications

Educational Background

• Bachelor’s degree in Computer Science, Engineering, IT, or related field
• Strong academic foundation in programming and data structures

Technical Skills (Must Have – Basics Expected)

• Programming knowledge in JavaScript, TypeScript, Python, or similar
• Understanding of HTML, CSS, and basic front-end frameworks
• Basic knowledge of backend development and APIs
• Familiarity with databases (SQL or NoSQL)
• Awareness of cloud concepts (deployment, services, environments)

GenAI & AI Fundamentals (Entry-Level)

• Basic understanding of Generative AI concepts
• Familiarity with LLMs (what they are, how they are used)
• Agentic Frameworks like Google ADK (Agent Development Kit)
• Exposure to tools like ChatGPT, Copilot, or similar AI assistants
• Interest in learning prompt engineering and AI integration patterns

Good to Have

• Exposure to React, Angular, or Vue
• Experience with Node.js, Spring Boot, or Python frameworks
• Hands-on labs or projects using cloud platforms
• Awareness of Git, Agile, and DevOps practices
• Academic or personal projects involving AI, ML, or GenAI

What We Look For

• Strong problem-solving and logical thinking
• Curiosity and willingness to learn fast
• Passion for modern engineering and AI-first development
• Good communication and collaboration skills
• Growth mindset and ownership attitude

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