As an AI/NLP Engineer, you will leverage 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.
As a Senior Machine Learning Engineer, you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. The company is looking for an experienced ML engineer who is passionate about turning advanced AI research into scalable, real-world solutions. The candidate should thrive on solving complex problems, pay close attention to detail, and consistently seek to automate and improve processes.
You'll work at the intersection of frontend, backend, and machine learning, transforming research prototypes into production-ready features. As our ML team excels at rapid prototyping, we need someone who can elevate these innovations into robust, scalable solutions while maintaining high engineering standards. If you're passionate about building high-quality software, this role is for you.
Drive business growth by building and optimizing the recommendation systems that personalize experience for millions of users daily. You’ll own the modeling, feature engineering, data pipelines, and experimentation that make personalization smarter, faster, and more impactful. Build and deploy ML models serving 100M+ predictions per day to personalize user experiences at scale.
Join saas.group as a Senior AI Engineer to design, evaluate, and ship AI that powers products used by hundreds of thousands of users across our portfolio. This is an end-to-end role where you will collaborate with product and brand teams to translate user needs and data into solution designs, plan and run experiments with clear success metrics, and deliver reliable systems to production with support from our DevOps engineers.
Shape the future of our platform by implementing AI agents, fine-tuning large language models (LLMs), and integrating machine learning (ML) capabilities. Be part of a small but highly ambitious team, where your work will have a direct impact on the product, customers, and company trajectory.
Lead a team of ML engineers building next-generation personalization and optimization systems. You'll balance hands-on technical work with team leadership, driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.
In this role, you’ll be hands-on shaping the technical foundation of our LLM-powered product used by leaders at Fortune 500 companies. You’ll work closely with our Technical Lead and CEO (also our product visionary) to ship real features fast, debug hard problems, and scale systems that redefine how enterprises approach learning and leadership.
This role is a Machine Learning Engineer role for our conversational AI coaching product designed for Fortune 500 enterprises, reporting into our Head of AI. In this role you will implement, and optimize machine learning models that power our coaching insights and recommendations. This role is focused on the development and optimization of machine learning models and algorithms, optimizing the underlying ML infrastructure and model development.
Develop and refine ML pipelines for agent behaviors using prompting, fine-tuning, retrieval-augmented generation, and reinforcement learning techniques. Prototype and experiment with novel agent reasoning, multi-step planning, and tool usage for complex, data-heavy domains. Build data pipelines and evaluation frameworks that support rapid iteration and deployment of new agent capabilities.