Role & Responsibilities

We are looking for a curious and passionate Junior AI Developer to join our growing AI team. You will help build AI-powered applications using LLMs, RAG architectures, and Agentic AI frameworks to solve real-world business problems. You will work closely with senior AI engineers to transform business requirements into practical AI solutions. We value learning ability, AI enthusiasm, and hands-on projects over professional experience.

Key Responsibilities

- Assist in building chatbots, RAG applications, AI agents, and document intelligence solutions (e.g., extracting data from invoices and contracts)
- Build AI agents and multi-step workflows that automate business processes
- Write, test, and refine prompts, including structured (JSON) outputs and tool/function calling
- Prepare data for AI applications through document parsing, chunking, embedding generation, and vector database storage
- Work with enterprise knowledge bases, SQL databases, vector databases, and APIs to retrieve and process data
- Build and integrate AI features into web and mobile applications using Python, FastAPI, REST APIs, and JSON
- Create test sets and evaluations to measure output accuracy, hallucinations, and retrieval quality
- Track cost, latency, and errors using tracing, logging, and observability tools
- Follow secure practices, including API key protection, user data security, and prompt injection prevention
- Write clean, documented code and follow Git-based workflows, including code reviews
- Learn best practices from senior AI engineers and stay updated on new AI tools and frameworks

Required Skills & Qualifications

- 0-1 year of experience (Freshers can apply)
- Degree in AI / Machine Learning (preferred) or Computer Science / IT
- Strong foundation in Python (preferred) or similar backend languages, with knowledge of API development, and basic async programming
- Understanding of Generative AI, Prompt Engineering, RAG, and AI Agent concepts
- Understanding of LLM fundamentals, including tokenization, context windows, temperature,



sampling, embeddings, and a high-level view of transformer architecture
- Hands-on experience with LLM APIs (OpenAI, Anthropic, or Gemini), including structured outputs and tool calling
- Basic understanding of Model Context Protocol (MCP), including tools, resources, and connecting LLMs to external systems
- Exposure to frameworks such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, OpenAI Agents SDK, or similar
- Understanding of vector databases (FAISS, ChromaDB, pgvector), embeddings, and semantic search
- Basic knowledge of SQL, REST APIs (FastAPI/Flask), JSON, and software development fundamentals
- Familiarity with Git
- At least one AI certification or online course (e.g., NPTEL, Hugging Face, IBM, NASSCOM FutureSkills Prime, GUVI, AWS, Microsoft, or NVIDIA)
- Hands-on AI projects from academics, internships, hackathons, or personal work, with a GitHub or portfolio link
- Strong problem-solving and communication skills with a strong learning mindset

Positive to Have

- Awareness of common agent patterns (ReAct, Human-in-the-Loop)
- Exposure to evaluation and tracing tools (LangSmith, Langfuse, Ragas, DeepEval)
- Basic Docker and exposure to AWS, Azure, or GCP
- Quick prototyping with Streamlit or Gradio
- Basic ML, Deep Learning, or NLP knowledge (e.g., Precision, Recall, F1 Score)
- Experience with Hugging Face and open-source models
- Awareness of AI security risks (OWASP Top 10 for LLM Applications) and data privacy regulations (DPDP Act, GDPR)
- Responsible use of AI coding assistants (Claude Code, Cursor, GitHub Copilot)
- Open-source contributions

What We Look For

- Learning Ability: You pick up new tools and technologies quickly
- AI Enthusiasm: You actively experiment with AI models and frameworks
- Builder Mindset: You can explain how your projects work and where they fail
- Critical Thinking: You verify AI outputs and understand the code you write

What We Offer

- Real-world GenAI and Agentic AI projects for global clients
- Structured onboarding and mentorship
- Collaborative, learning-driven culture
- Competitive compensation and growth opportunities.

📌 Junior AI Developer (Coimbatore)
🏢 Mallow Technologies Private
📍 Coimbatore