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# Exciting opportunity for AI Engineer_ Rancho Cordova, CA-Onsite

- **Company:** Noblesoft Technologies
- **Location:** Rancho Cordova, CA, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Data Cleansing, Data Structures, Python (Programming Language), Machine Learning, OpenAI, Cloud Services, Tensorflow, Software Engineering, Pinecone, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Large Language Models, Apache Cordova, Generative AI, Containerization, AI Platforms, Information Technology, HuggingFace, Milvus, Machine Learning Operations, FAISS
- **Published:** November 3, 2026
- **Apply:** https://www.thejobnetwork.com/job/196156fe-73ca-42cd-9b9c-3eeea62be219/exciting-opportunity-for-ai-engineer-rancho-cordova-caonsite

## About the Role

* Bachelor's or Master's in Computer Science, Machine Learning, Engineering, or a related field.
 * Experience with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
 * Strong software engineering skills in Python, plus experience with APIs, cloud services (Azure, AWS, or GCP), and containerization.
 * Hands on experience building applications using LLMs (e.g., OpenAI, Azure OpenAI, Hugging Face, Anthropic).
 * Familiarity with vector databases (e.g., FAISS, Milvus, Pinecone) and retrieval augmented generation (RAG).
 * Experience deploying AI models to production environments.
 * Strong understanding of data structures, algorithms, and system design.

## Description

* Develop, fine tune, and evaluate machine learning and LLM based models.
 * Build end to end AI pipelines including data preprocessing, feature engineering, training, and monitoring.
 * Design and optimize prompting strategies, RAG pipelines, or agent based workflows for LLM applications.
 * Implement production ready AI services and APIs using scalable architectures.
 * Collaborate with product managers and engineers to identify AI use cases and translate requirements into technical solutions.
 * Monitor model performance and drift, implementing continual improvements.
 * Conduct research into emerging AI techniques and tools to recommend adoption where appropriate.
 * Ensure responsible AI practices including fairness, safety, privacy, and compliance.