As a Junior AI Full Stack Developer at eholler, you will contribute to the development of AI-powered web applications, intelligent automation systems and AI-based software products.You will work across frontend development, backend APIs, database integration, LLM application development and workflow automation. You will also use modern AI-assisted development tools to improve development speed and productivity while maintaining code quality and understanding the solutions you build.This role is suited to candidates who have a strong foundation in software development and want to build a career in AI engineering and full-stack application development.

Key Responsibilities

• Develop responsive web applications using React, Next.js, TypeScript and Tailwind CSS.
• Build backend services, REST APIs and application logic using Python or Node.js.
• Integrate large language models (LLMs) using OpenAI API, Anthropic Claude API and other relevant AI services.
• Develop AI-powered applications such as chatbots, research assistants, content generation tools and business intelligence applications.
• Build and experiment with retrieval-augmented generation (RAG), embeddings, vector search and AI agent workflows.
• Work with AI orchestration frameworks such as LangChain, LlamaIndex, CrewAI and AutoGen.
• Integrate databases, manage application data and implement CRUD operations using PostgreSQL, Supabase or MongoDB.
• Explore vector databases such as FAISS, ChromaDB and Pinecone for AI application development.
• Develop workflow automations and API integrations using n8n, Make and webhooks.
• Use AI-assisted coding tools to accelerate development, troubleshoot issues, refactor code and improve productivity.
• Experiment with AI application development platforms such as Lovable, Emergent and Replit to prototype and validate ideas.
• Test applications, debug issues, improve reliability and maintain clear technical documentation.
• Use Git and GitHub for version control and collaborative development.
• Participate in technical discussions, code reviews and project planning.
• Learn and apply secure coding practices, application deployment and performance optimisation.

Required Technical Skills

Candidates are not expected to master every technology in this stack. However, they should have strong fundamentals and practical knowledge of the core technologies.

1. Frontend Development

• Strong understanding of HTML, CSS and JavaScript.
• Basic to working knowledge of TypeScript.
• Understanding of React fundamentals.
• Familiarity with Next.js and Tailwind CSS.
• Exposure to Streamlit or Gradio for building AI application interfaces is an advantage.

2. Backend Development and APIs

• Working knowledge of Python or JavaScript/TypeScript.
• Understanding of programming fundamentals, data structures, functions, modules and error handling.
• Basic understanding of REST APIs, JSON, HTTP requests and API integration.
• Familiarity with FastAPI, Flask or Node.js/Express.
• Understanding of environment variables and secure API key management.

3. AI and LLM Development

• Basic understanding of generative AI, large language models and prompt engineering.
• Familiarity with integrating at least one LLM API is preferred.
• Understanding of structured outputs, conversation history and tool calling is an advantage.
• Interest in RAG, embeddings, semantic search and AI agents.
• Exposure to LangChain, LlamaIndex, CrewAI or AutoGen is a plus.

4. Database Technologies

• Basic understanding of SQL and database design.
• Familiarity with PostgreSQL, Supabase or MongoDB.
• Understanding of database integration and CRUD operations.
• Exposure to vector databases such as FAISS, ChromaDB or Pinecone is an advantage.

5. AI-Assisted Coding and Development Tools

Candidates should be willing to use modern AI development tools responsibly, including:

• Cursor
• GitHub Copilot
• Claude
• Lovable
• Emergent
• Replit
• OpenClaw, where relevant to the project

The ability to understand, validate, debug and improve AI-generated code is essential. Merely knowing how to generate code using AI tools is not sufficient.

6. Workflow Automation

• Basic understanding of APIs, webhooks and application integrations.
• Familiarity with n8n or Make is an advantage.
• Interest in connecting AI models, databases and business applications through automated workflows.

7. Development Fundamentals

• Familiarity with Git and GitHub.
• Basic knowledge of debugging, testing and code organisation.
• Willingness to learn deployment, hosting and application monitoring.
• Ability to explain technical decisions and communicate project progress clearly.

Eligibility Criteria

We welcome applications from:

• Fresh graduates in Computer Science, Information Technology, Artificial Intelligence, Data Science or related disciplines.
• Candidates from other educational backgrounds with demonstrable programming skills and relevant projects.
• Freshers with strong technical knowledge of full-stack or AI application development.
• Candidates with 0–6 months of professional experience.
• Candidates who have completed relevant software development, AI or full-stack development internships.
• Self-taught developers who can demonstrate their capabilities through working applications or GitHub projects.

Prior industry experience is not mandatory. Strong fundamentals, practical implementation skills and the ability to learn are more important than the number of tools listed on a resume.

What We Expect From You

• Strong interest in AI engineering, software development and application building.
• Ability to write, understand and debug code.
• Willingness to learn new frameworks and technologies as project requirements evolve.
• Ability to build small applications independently and contribute to larger projects with guidance.
• A practical approach to solving technical problems.
• Responsibility for assigned tasks, deadlines and code quality.
• Openness to feedback, code reviews and continuous learning.
• Clear communication and the ability to explain your work.

What You Will Work On

At eholler, you may contribute to projects involving:

• AI-powered web applications and SaaS products.
• LLM-based assistants and research tools.
• RAG applications and knowledge retrieval systems.
• AI agents and multi-step automation workflows.
• Business process automation using n8n and APIs.
• Full-stack applications integrating frontend interfaces, backend services, databases and AI models.
• Rapid prototyping and product development using AI-assisted coding platforms.

Your responsibilities will grow as you demonstrate technical ability and become comfortable working with the development team.

What eholler Offers

• An opportunity to work on practical AI and full-stack development projects.
• Exposure to modern AI technologies, LLM APIs and agent-based applications.
• Hands-on experience with frontend, backend, databases and automation.
• Guidance from the development team and opportunities to learn through code reviews.
• A collaborative environment that encourages experimentation and practical problem-solving.
• Opportunities to take ownership of features and contribute to product development.
• Career growth based on technical development, contribution and performance.