Senior AI Engineer

The role

You will design, develop, and deploy machine learning and Generative AI solutions. You will work on building, fine-tuning, and optimizing Large Language Models and transformer-based architectures.

What you will do

• Design, develop, and deploy machine learning and Generative AI solutions
• Build, fine-tune, and optimize Large Language Models (LLMs) and transformer-based architectures
• Apply scientific methodologies to experimentation, model evaluation, and performance optimization
• Develop scalable ML pipelines and production-grade systems
• Conduct prompt engineering, model alignment, evaluation, and performance benchmarking
• Translate ambiguous requirements into data-driven AI solutions
• Instrument and monitor LLM applications in production using observability tools
• Contribute to model governance, responsible AI practices, and performance monitoring
• Stay current with advancements in Generative AI, LLM research, and applied machine learning

Required qualifications

• Master’s or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
• Minimum 5 years of hands-on industry experience in AI engineering, machine learning, data science, or applied AI roles
• Strong experience with Generative AI frameworks and Large Language Models
• Proficiency in Python and modern ML/AI libraries such as PyTorch, TensorFlow, Hugging Face, or equivalent ecosystems
• Solid understanding of statistical modeling, experimentation, and model evaluation methodologies
• Experience building and deploying ML models into production environments
• Familiarity with data engineering workflows and cloud-based ML platforms (AWS, GCP, or Azure)
• Strong problem-solving skills
• Excellent communication skills

Nice to have

• Experience implementing Retrieval-Augmented Generation (RAG), vector databases, and embedding-based search systems
• Hands-on experience with LLM observability platforms (e.g., Langfuse, LangSmith, Arize Phoenix, Weights & Biases)
• Experience with LLM evaluation frameworks (e.g., RAGAS, DeepEval) and evaluation patterns
• Practical experience deploying LLM applications with guardrails, prompt versioning, hallucination detection, and model drift monitoring
• Exposure to distributed training, model optimization, and scalable inference architectures
• Knowledge of MLOps practices, CI/CD for ML (Travis CI, Jenkins), and model lifecycle management
• Prior experience applying AI solutions in industrial or asset-intensive environments
• Experience working in fast-paced startup or product-driven environments
• Industry experience in one or more of the following domains: Mining, Oil & Gas, Aerospace, Supply Chain, Logistics, or Renewable Energy

Benefits

• Stock Option Grants
• Medical Coverage and Parental Leave Plans
• 401k with Employer Match
• Monthly Technology Allowance
• Newly renovated office space located near Pleasanton, CA including fully stocked beverage and snack areas

About the company

Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries accelerate the journey toward autonomous operations.