Junior AI Developer

Key Responsibilities

• Develop and deploy LLM-based applications for data extraction, XPath generation, and autonomous AI agents.
• Engage in prompt engineering, model fine-tuning, and rapid prototyping to enhance AI performance.
• Integrate LLM functionalities into existing systems using APIs.
• Stay updated with the latest advancements in LLMs and AI to propose innovative solutions.
• Collaborate with cross-functional teams to implement AI-driven automation.

Required Skills & Qualifications

• 1-3 years of experience in AI/ML development, with a focus on NLP and LLMs.
• Hands-on experience with large language models (e.g., Openai, Claude, Gemini, Deepseek), including prompt engineering and fine tuning.
• Proficiency in Python and familiarity with ML/NLP frameworks such as Hugging Face Transformers, PyTorch, TensorFlow.
• Experience with agentic frameworks like Langgraph and CrewAI.
• Strong problem-solving skills and ability to work in an exploratory, agile environment.
• Familiarity with API integration and deployment of AI models in production Environments.

Nice-to-Have Skills

• Knowledge of web scraping, data parsing, or autonomous agents.
• Experience with cloud platforms like AWS, GCP, or Azure.
• Understanding of vector databases and retrieval-augmented generation (RAG) techniques.

Other Infrastructure Requirements

Since this is a completely work-from-home position, you will also require the following –

• High-speed internet connectivity for video calls and efficient work.
• Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM, and no other obstacles to interrupted efficient work).
• Headphones with clear audio quality.
• Stable power connection and backups in case of internet/power failure.