Senior AI Engineer
Jamiiz AI SystemsFull Description
Company Description
Jamiiz AI Systems specializes in creating practical AI solutions that streamline operations for service-based businesses, agencies, clinics, and other organizations. Our offerings include customer support automation, document intelligence, internal knowledge assistants, and operational copilots, all designed to reduce manual work, improve response times, and enhance operational efficiency. With an outcome-driven approach, we focus on identifying high-friction workflows and implementing tailored AI solutions, such as our flagship AI Operations Automation Sprint, which delivers impactful results in just weeks. By prioritizing simplicity and practicality, we enable businesses to embrace AI without unnecessary complexity.
Role Description
This is a full-time, role for a Senior AI Engineer based in the San Francisco Bay Area(may accept Remote). The Senior AI Engineer will lead the design, development, and deployment of cutting-edge AI systems, focusing on areas like pattern recognition,LLMs, RAG Systems, natural language processing (NLP), and neural networks. Day-to-day responsibilities include developing and optimizing machine learning algorithms, collaborating with cross-functional teams, ensuring scalability and efficiency of software solutions, and staying up-to-date with the latest advancements in AI and machine learning technologies.
Qualifications
* Strong expertise in Pattern Recognition, Neural Networks, and Natural Language Processing (NLP)
* Proficiency in Computer Science fundamentals including data structures, algorithms, and complexity analysis
* Knowledge of RAG Systems, LLMs, Agentic Workflows and Agent skills.
* Hands-on experience with Software Development, including proficiency in frameworks and programming languages such as Python, Java, and TensorFlow or PyTorch
* Ability to work collaboratively in a team environment and actively solve complex technical problems
* Strong analytical, critical-thinking, and problem-solving skills
* Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field (or equivalent experience)
* Previous experience building and deploying scalable AI applications in production is a bonus
* Familiarity with AI ethics, data security, and responsible AI practices is an advantage
What You Bring
* 4+ years software engineering experience, 2+ years with LLMs
* Strong Python skills and experience with at least one LLM framework (LangChain, LlamaIndex, DSPy)
* Experience deploying RAG systems in production
* Comfort with ambiguity and fast iteration
* Bonus: experience in insurance, healthcare, or service industries
Why Join
* Competitive salary + equity
* Build real systems people use, not internal tools or demos
* Work with a small, capable team of engineers
* Shape the technical direction from an early stage