AI Engineer

About the role

We're building an agentic AI platform that helps enterprises transform complex business workflows into AI‑powered operations. As a well‑funded early‑stage startup, we seek a talented AI Engineer to develop advanced AI agents that automate low‑skill human tasks such as document processing, data extraction, and text/email comprehension.

Key responsibilities

• Design, develop, and implement AI agents using best‑of‑breed LLMs to automate document processing across enterprise workflows.
• Build machine‑learning pipelines to automate content‑heavy processes for enterprise businesses.
• Fine‑tune and optimize pre‑trained LLMs to accurately interpret, classify, and process large volumes of documents, improving speed and accuracy.
• Partner with product, engineering, and business teams to identify high‑value automation opportunities and integrate AI‑driven solutions.
• Develop metrics and conduct extensive testing to ensure reliability and efficiency of AI systems in real‑world scenarios.

Required profile

• 5+ years of experience as a software engineer or data scientist building production systems.
• 2+ years of experience with large language models and NLP techniques.
• Background in developing AI agents for content‑heavy tasks.
• Experience with multiple LLM vendors, retrieval‑augmented generation (RAG) or fine‑tuning open‑source or commercial models.

Required skills

• Proficiency in Python and machine‑learning libraries such as TensorFlow or PyTorch.
• Deep understanding of LLM architectures and NLP applications like entity recognition, document classification, and summarization.
• Experience with model grounding techniques and RAG.
• Designing and deploying AI models through APIs, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP, Azure).
• Knowledge of best practices for continuous monitoring, evaluation, and iterative improvement of deployed models.