Avathon
Industrial AI
ForwardAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Forward AI Engineer at Avathon. Skills: Generative AI, Large Language Models, Machine Learning, ML engineering. Design, build, and deploy AI/ML systems. Develop and optimize LLM pipelines”
Industry & Context.
Analytical thinking; Translate operational challenges
What They're Looking For.
Must Have
Bachelor’s or Master’s degree, Hands-on industry experience, Experience building and deploying LLM/SLM applications, Solid expertise with Python, Experience building scalable APIs, Experience with cloud platforms, Software engineering fundamentals, Experience with containerization, Experience with deployment pipelines, Experience with collaborative engineering environments, Analytical thinking, Ownership mindset, Ability to work in ambiguous environments, Communication skills
Nice to Have
Exposure to RAG, Exposure to vector databases, Exposure to embedding-based search systems, Familiarity with LLM observability tools, Familiarity with LLM evaluation tools, Hands-on experience with LLM/SLM deployment, Exposure to LLM evaluation frameworks, Basic understanding of MLOps practices, Experience working on applied AI projects, Interest in industrial AI, Interest in asset-intensive environments, Industry exposure in Mining, Industry exposure in Oil & Gas, Industry exposure in Aerospace, Industry exposure in Supply Chain, Industry exposure in Logistics, Industry exposure in Renewable Energy
What You'll Do.
and deploy AI/ML systems
Develop and optimize LLM pipelines
Build scalable backend services
Build APIs for AI applications
Implement transformer-based models
Implement GenAI workflows
Design vector search systems
Design embedding pipelines
Design retrieval frameworks
Translate operational challenges into AI solutions
Drive experimentation
Drive model evaluation
Drive performance optimization
Improve inference efficiency
Implement hallucination detection
Implement responsible AI practices
Contribute to MLOps workflows
Manage model lifecycle
Manage cloud deployment
Stay current with LLM advancements
How You'll Work.
Team & Collaboration
Partner closely with Product; Partner closely with Engineering; Partner closely with Business teams; Work cross-functionally
Communication Scope
Communication skills
Process & Methodology
MLOps workflows, CI/CD, Model lifecycle management
Full Job Description
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 Work Location: Bangalore At Avathon, we are building cutting-edge AI solutions that transform operations across asset-intensive industries such as Supply Chain, Logistics, Energy, Mining, Aerospace, and Industrial Manufacturing. As 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 maintenan
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