AI Engineer

What You'll Do

• Build AI/ML technology stacks from concept to production, including data pipelines, model training, and deployment.
• Develop and optimize Generative AI workflows, including prompt engineering, fine-tuning (LoRA, QLoRA), retrieval-augmented generation (RAG), and LLM-based applications.
• Work with Large Language Models (LLMs) such as Llama, Mistral, and GPT, ensuring efficient adaptation for various use cases.
• Design and implement AI-driven automation using agentic AI systems and orchestration frameworks like Autogen, LangGraph, and CrewAI.
• Leverage cloud AI infrastructure (AWS, Azure, GCP) for scalable deployment and performance tuning.
• Collaborate with cross-functional teams to deliver AI-driven solutions.

What You'll Bring

• Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Mathematics, Statistics, Engineering or a related field.
• 2+ years of experience in AI/ML, with expertise in Generative AI and LLMs.
• Strong proficiency in Python and experience with AI/ML frameworks like PyTorch and TensorFlow.
• Knowledge of advanced prompt engineering techniques (Chain of Thought, Few-Shot, Self-Consistency).
• Experience in AI workflow automation and model orchestration.
• Hands-on experience with API development using Flask or Django.
• Familiarity with data processing frameworks like Databricks and Airflow.
• Strong analytical skills and the ability to work in a collaborative environment