AI/ML Engineer

About the Role

• 5+ years of hands-on experience in machine learning and AI engineering, with a focus on NLP/LLMs.
• Proven experience building production-grade Agentic AI systems (tool-calling agents, multi-agent orchestration, autonomous workflows).
• Strong Python skills; proficiency with PyTorch or TensorFlow and HuggingFace Transformers.
• Experience with LLM fine-tuning techniques: LoRA, QLoRA, RLHF, or instruction-tuning.
• Hands-on with vector search, embeddings, and semantic retrieval (RAG architecture).
• Solid understanding of prompt engineering, chain-of-thought prompting, and agent memory patterns.
• BS/MS/PhD in Computer Science, AI/ML, or a closely related field