About the role
Pragma Edge is seeking an AI Developer Trainee with a strong foundation in Agentic AI and Natural Language Processing. The role involves designing, developing, and deploying intelligent systems using Large Language Models (LLMs) and multi-agent frameworks to solve real-world challenges.
What you will do
- Design and implement agent-based architectures using CrewAI, LangGraph, AutoGen, or LangChain.
- Build multi-agent workflows for task orchestration and autonomous decision-making.
- Integrate LLMs with external tools, APIs, and memory systems.
- Fine-tune and adapt pre-trained LLMs like Mistral Large, Gemini Flash, and OpenAI models.
- Preprocess large datasets and collaborate on scalable data engineering pipelines.
- Optimize AI models for performance, latency, and scalability.
What we look for
- Strong programming proficiency in Python.
- Hands-on experience with machine learning frameworks like PyTorch or TensorFlow.
- Solid understanding of LLMs, prompt engineering, and fine-tuning techniques.
- Exposure to Agentic AI, distributed systems, and large-scale data processing.
- Familiarity with cloud platforms and vector databases (RAG).
- Strong problem-solving abilities and effective collaboration skills.
Eligibility
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related fields.
- 0 to 2 years of work experience, preferably focused on LLMs or Agentic AI.
- Available to work shifts from 2:00 PM to 11:00 PM IST.
Skills
- Python
- PyTorch
- TensorFlow
- LLMs
- NLP
- LangChain
- CrewAI
- AutoGen
- RAG
- APIs
