AI Engineer

Who We Are & Why Join Us Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale. Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives. Learn more at: avathon.com About the Role Senior AI Engineer – Generative AI & LLMs At Avathon, we are building cutting-edge AI solutions that transform operations across asset-intensive industries such as Su [... source excerpt omitted ...] s an AI Engineer, you will play a critical role in designing, developing, and deploying scalable AI systems with a strong focus on Generative AI, Large Language Models (LLMs), and production-grade machine learning applications. This role is ideal for someone with strong engineering depth who can bridge research and production—building robust AI platforms, optimizing LLM workflows, and delivering high-impact solutions across forecasting, route optimization, anomaly detection, predictive maintenance, and intelligent automation. With 3–5 years of hands-on industry experience, you are expected to bring expertise in AI system design, ML engineering, LLM deployment, and scalable softwa [... source excerpt omitted ...] ne-tuning, prompt orchestration, evaluation, and observability Build scalable backend services and APIs for AI applications using modern engineering best practices Implement and productionize transformer-based models and GenAI workflows for enterprise use cases Design vector search systems, embedding pipelines, and retrieval frameworks for knowledge-intensive applications Partner closely with Product, Engineering, and Business teams to translate operational challenges into scalable AI solutions Drive experimentation, benchmarking, model evaluation, and performance optimization with scientific rigor Improve inference efficiency, latency optimization, cost management, and relia