> Markdown version of [/jobs/ext/4618356-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4618356-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Relanto, Inc. - **Location:** Fremont, CA, United States - **Experience:** Expert - **Salary:** $145,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Frameworks, Artificial Neural Networks, Microsoft Azure, Cloud Computing, Data Architecture, Elasticsearch, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Cloud Services, Tensorflow, Systems Architecture, Pinecone, Chatbots, Pytorch, Large Language Models, Deep Learning, Generative AI, AI Platforms, Machine Learning Operations, Recurrent Neural Networks - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25304_6227a3c336ed169c87e15882c769a304 ## About the Role * 5+ years of experience designing, developing, deploying, and operationalizing AI/ML solutions * Expertise in GenAI and Conversational AI technologies, including LLMs, LangChain, Llama Index, and Vector DBs (e.g., Pinecone, Elasticsearch) * Strong understanding of Deep Learning and Machine Learning techniques such as LLMs, Neural Networks, CNNs, RNNs, LSTM, Transformers, and Time Series Forecasting * Experience in Data Science, NLP, Generative AI, and AI solution architecture * Proficiency in MLOps/LLMOps, with experience in ML pipelines both On-Prem and Cloud (e.g., SageMaker) * Expert-level skills in Python and open-source frameworks such as PyTorch, TensorFlow, NumPy, etc. * Proven experience designing cloud-native solutions using AI services from Azure, AWS, or other cloud platforms * Ability to lead and mentor Data Engineers and ML engineers, guiding them on technical architecture and best practices ## Description * Engage with customers to understand problem statements and technical requirements * Design and architect AI/ML cloud solutions * Develop system architecture diagrams and establish best practices for ML systems * Define data architecture and model serving strategies