At LeoTech, we are passionate about building software that solves real-world problems in the Public Safety sector. Our software has been used to help the fight against continuing criminal enterprises, drug trafficking organizations, identifying financial fraud, disrupting sex and human trafficking rings and focusing on mental health matters to name a few. As an AI/NLP Engineer on our Data Science team, you will be at the forefront of leveraging Large Language Models (LLMs) and cutting-edge AI techniques to create transformative solutions for public safety and intelligence workflows. You will apply your expertise in LLMs, Retrieval-Augmented Generation (RAG), semantic search, Agentic AI, GraphRAG, and other advanced AI solutions to develop, enhance, and deploy robust features that enable real-time decision-making for our end users. You will work closely with product, engineering, and data science teams to translate real-world problems into scalable, production-grade solutions.  This is an individual contributor (IC) role that emphasizes technical depth, experimentation, and hands-on engineering. You will participate in all phases of the AI solution lifecycle, from architecture and design through prototyping, implementation, evaluation, productionization and continuous improvement. Core Responsibilities Design, build, and optimize AI-powered solutions using LLMs, RAG pipelines, semantic search, GraphRAG, and Agentic AI architectures. Implement and experiment with the latest advancements in large-scale language modeling, including prompt engineering, model fine-tuning, evaluation, and monitoring. Collaborate with product, backend, and data engineering teams to define requirements, break down complex problems, and deliver high-impact features aligned with business objectives. Competitive Salary. Generous medical, dental, and vision plans. Sick, and paid holidays are offered. Work with talented and collaborative co-workers. LeoTech is an equal opportunity employer and does not discriminate on the basis of any legally protected status.

You're not {everyone} You have no off switch. You're obsessed with revolutionizing healthcare. Your default mode is building what's never been built before. You see the gaps in healthcare technology and you're driven to bridge them. Every problem is an opportunity, and you won't rest until you've created something extraordinary. Forget the traditional application. You don't need a perfectly formatted CV to show that you're exceptional — your work speaks for itself. You've already proven your ability to innovate and execute. Now you're ready to transform the future of healthcare technology. Requirements

• Design and implement end-to-end AI/ML solutions from data prep to production deployment. • Build RAG pipelines with robust retrieval, re-ranking, grounding, and evaluation. • Develop AI applications such as conversational agents and document intelligence workflows (extraction, classification, validation). • Implement image/document processing (OCR, layout analysis, table extraction, redaction). • Integrate with enterprise systems and APIs; enable tool use/function calling where applicable. • Optimize for latency, accuracy, cost, and safety. • Package and deploy with Docker/Kubernetes/Serverless; automate with CI/CD. • Write clean, testable code; contribute to internal accelerators, templates, and best practices.

• Developing and applying models and algorithms. • Training, validating, and optimizing Machine Learning and Deep Learning models. • Integrating Generative AI and LLMs into various solutions. • Documentation, versioning, and maintenance of models. • Developing, maintaining, and optimizing high-quality, reliable, and robust data pipelines. • Extraction, cleaning, and validation of large datasets. • Data interpretation to uncover solutions and business opportunities. • Data analytics using Business Intelligence tools such as Apache Superset.