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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** Avathon, Inc - **Location:** Pleasanton, CA, United States - **Experience:** Expert - **Salary:** $130,000.0 - $155,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Software Code Optimization, Encodings, Continuous Integration, Information Engineering, Distributed Computing Environment, Python (Programming Language), Machine Learning, Performance Tuning, Regression Testing, Tensorflow, Azure Machine Learning, Management of Software Versions, Travis Ci, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Hallucination Detection, Model Validation, Generative AI, Langfuse — LLM Observability and Analytics Platform, LangSmith, Information Technology, HuggingFace, RAGAS (Retrieval Augmented Generation Assessment), Data Analytics, Performance Monitor, Transformer Architectures, Arize Phoenix, Machine Learning Operations, DeepEval, Drift Detection, Evaluation of Large Language Models, Jenkins - **Published:** October 22, 2026 - **Apply:** https://www.thejobnetwork.com/job/7613a051-323e-4b8a-9491-6019cb2190e6/senior-ai-engineer ## About the Role * 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 (e.g., transformer architectures, fine-tuning, RAG systems) * 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 with the ability to work independently on complex and ambiguous problem statements * Excellent communication skills with the ability to present technical insights clearly to cross-functional stakeholders, * 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) for tracing, cost tracking, and quality monitoring in production * Experience with LLM evaluation frameworks (e.g., RAGAS, DeepEval) and evaluation patterns such as LLM-as-judge and automated regression testing * 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 * ## Description As a Senior AI Engineer at Avathon, you will play a key role in designing and delivering advanced AI solutions with a strong emphasis on Generative AI and Large Language Models (LLMs). You will apply scientific rigor to develop scalable, production-ready machine learning systems that drive measurable business impact, working on challenging problems in forecasting, demand planning, renewable energy optimization, anomaly detection, and prescriptive maintenance. With minimum 5 years of industry experience, you are expected to bring strong expertise in statistical modeling, ML engineering, and modern AI architectures, particularly in GenAI and LLM-based applications. This role offers the opportunity to work on high-impact projects that shape next-generation AI capabilities within the organization. You Will * Design, develop, and deploy machine learning and Generative AI solutions to solve complex business problems * Build, fine-tune, and optimize Large Language Models (LLMs) and transformer-based architectures for real-world applications * Apply rigorous scientific methodologies to experimentation, model evaluation, and performance optimization * Develop scalable ML pipelines and production-grade systems in collaboration with Engineering teams * Conduct prompt engineering, model alignment, evaluation, and performance benchmarking for GenAI applications * Work closely with Product, Engineering, and Business stakeholders to translate ambiguous requirements into data-driven AI solutions * Instrument and monitor LLM applications in production using observability tools, tracking cost, latency, quality, and drift * Contribute to model governance, responsible AI practices, and performance monitoring in production environments * Stay current with advancements in Generative AI, LLM research, and applied machine learning, incorporating relevant innovations into company solutions, Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.