Senior AI Engineer

NorthBay is seeking a highly skilled AI Engineer with strong experience in AI and advanced analytics to join our team. The ideal candidate will have a solid background in data processing, predictive modeling, and production-grade AI systems. This role requires hands-on expertise in building, deploying, and scaling AI solutions that drive real business impact. You will work closely with cross-functional teams and stakeholders to understand business needs, develop intelligent systems, and deliver actionable insights. A strong focus on modern AI practices, including LLMs and agentic workflows, is essential.

Responsibilities

Develop a deep understanding of business domains and customer data; Build predictive models and reporting systems to support decision-making; Write efficient scripts and queries for data extraction, processing, and visualization; Design and deploy scalable AI/ML solutions into production environments; Work on GenAI initiatives, including organizing, testing, and improving AI-driven systems; Develop and optimize agentic workflows and RAG-based systems; Design and implement forecasting models to significantly improve accuracy; Debug and enhance AI systems, focusing on reducing hallucinations and improving reliability; Build evaluation frameworks to continuously assess and improve AI performance; Research and integrate state-of-the-art open-source AI models; Train and optimize models across domains such as object detection, classification, OCR, and statistical modeling; Build robust data pipelines and integration architectures for improved performance and reduced latency.; Collaborate with stakeholders to translate business needs into technical solutions

Requirements

BS in Computer Science (BSCS) from a reputable university; 4–6+ years of total professional experience in technology; 2–3+ years of focused experience in AI/ML; Strong expertise in data processing, structuring, and visualization; Proven experience in designing and implementing predictive models; Production-grade proficiency in Python; Strong SQL skills and experience working with Vector Databases; Proven ability to ship AI solutions to production (not limited to experimental work); Hands-on experience with Large Language Models (LLMs); Experience with agentic workflows, Retrieval-Augmented Generation (RAG), and prompt engineering; Ability to debug non-deterministic AI systems; Experience implementing hallucination detection mechanisms; Strong understanding of evaluation frameworks for AI models and prompts

Nice to have

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