Sr. Applied AI Engineer
As a Sr. Applied AI Engineer at Taktile, the responsibilities include building reusable AI products by acting as the product owner for application areas, designing, developing, and deploying robust generative AI agents as configurable solutions for customers. The role requires partnering with Solution and Forward Deployed Engineers during sales and implementation projects to understand customer needs in depth, and developing standard templates and reusable components to reduce activation time and address core challenges. The engineer must synthesize customer feedback into a clear vision for AI agents, iterating solutions to solve concrete use cases at scale, treating every agent as a product itself. Collaboration with the core product team is essential to prioritize platform features that support application development and acting as an expert user consultant during new feature development.
Parcel Contract Intelligence Consultant
Ship critical infrastructure by managing real-world logistics and financial data for the largest enterprise in the world. Own the why by building deep context through customer calls and understanding Loop’s value to customers, pushing back on requirements if a better, faster solution exists. Work across system boundaries with full-stack proficiency, including frontend UX, LLM agents, database schema, and event infrastructures. Leverage AI tools to automate boilerplate work, focusing on quality, architecture, and product taste. Constantly optimize development loops, refactor legacy patterns, automate workflows, and fix broken processes to raise the velocity bar.
Staff Software Engineer, Security Controls Telemetry & Detection
The Staff Software Engineer is responsible for owning the end-to-end technical vision for the EDR telemetry and detection workstream, rallying the team from concept through shipping, iterating, and deprecating. This includes producing production code contributions in a modern backend language such as Go, Rust, or Python within a service-oriented environment and setting technical standards through design reviews, code quality, and operational discipline by example. The role involves mentoring engineers, building frameworks and architecture to enable high performance, partnering with the hiring team on recruiting and leveling engineers, and holding the team accountable for outcomes by managing risks and tradeoffs early and in writing. The engineer translates ambiguous product goals into concrete technical roadmaps, makes decisions regarding build versus buy or integration with business context, partners closely with product management in PRD reviews and sprint planning, and sequences MVP development effectively. Domain expertise is required in EDR platforms including telemetry, API level, detection logic, alert triage, and SOC team workflows. The engineer builds ground truth datasets, manages false positive and false negative tradeoffs and confidence scoring, and owns the detection and measurement methodology, including ground truth methodology, confidence scoring, calibration, and defining what constitutes correct tuning recommendations. The position requires collaboration, and contributing both to leadership and hands-on coding, and may include up to 10% travel.
Software Engineer, Early Career
As a Software Engineer at Mirage, you will work across product engineering, backend/platform engineering, and applied AI teams. Responsibilities include designing and building systems, APIs, and infrastructure that power products; solving challenges involving distributed systems, scaling, and performance; integrating and operating large AI models in production; building core platform components such as storage, billing, observability, and security; shipping end-to-end product experiences for creative workflows; building polished, performant user interfaces (web or native mobile); pushing the boundaries of video, graphics, and AI-powered creation tools; instrumenting, A/B testing, and iterating quickly with real user data; building and shipping AI-powered product experiences end-to-end; working with state-of-the-art models across video, audio, image, and text; designing systems for context, reasoning, and intelligent behavior; and building evals, datasets, and tooling for improving model quality.
Staff Software Engineer, AI Platform
Design and build abstractions and platform-level systems that improve all of Harvey's agentic products. Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context. Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively. Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products. Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge.
Machine Learning Engineer
As a Data Scientist (Algorithm Engineer) in Delivery, you will work closely with Simulation Engineers, Machine Learning Engineers, and customers to understand and define engineering and physics challenges, while providing technical leadership to your team. Your responsibilities include leading the pre-processing and analysis of complex data to prepare it for predictive modelling, establishing best practices and methodologies for your team, architecting and developing innovative deep learning models combined with optimisation methods to predict and control physical systems, and taking full responsibility for the quality, accuracy, and impact of your work and your team's work. You will design, build, and test data pipelines that are reliable, scalable, and easily deployable in production environments, lead cross-functional collaboration to ensure model integration with simulations, drive internal research and product development, mentor junior team members, lead communication and presentations with technical teams and customers, and represent the company as a technical authority when visiting customer sites globally. Additionally, as a senior member, you will influence technical direction and shape future solutions and products while developing leadership skills.
Staff Research Engineer
As a Staff Research Engineer at Decagon, you will lead research and engineering efforts to improve core conversational capabilities in production, including instruction following, retrieval, memory, and long-horizon task completion. You will build and iterate on end-to-end models and pipelines that optimize for quality, efficiency, and user experience. You will partner with platform and product engineers to integrate new models into production systems. Responsibilities also include breaking down ambiguous research ideas into clear, iterative milestones and roadmaps, mentoring other researchers and engineers, setting technical direction, and establishing best practices for applied research and engineering.
Senior Research Engineer
As a Senior Research Engineer, you will lead research and engineering efforts to improve core conversational capabilities in production including instruction following, retrieval, memory, and long-horizon task completion. You will build and iterate on end-to-end models and pipelines that optimize for quality, efficiency, and user experience. You will partner with platform and product engineers to integrate new models into production systems. Additionally, you will break down ambiguous research ideas into clear, iterative milestones and roadmaps.
AI Factory, Value Engineer
Responsibilities include translating business requirements into requirements for AI/ML models, preparing data to train and evaluate AI/ML/DL models, building AI/ML/DL models using state-of-the-art algorithms especially transformers, testing and evaluating models, benchmarking quality, publishing models and datasets, deploying models in production by containerizing them, working with customers and internal employees to refine model quality, establishing continuous learning pipelines with online or transfer learning, and building and deploying containerized applications on cloud or on-premise environments.
Staff Software Engineer, RLE
Define and drive architecture for scalable, extensible Reinforcement Learning Environments (RLE) systems and data pipelines. Lead development of platform capabilities enabling rapid domain creation. Partner with Research, Product, and Operations to shape strategy and execution. Set standards for reliability, observability, performance, and data quality. Mentor engineers and elevate engineering excellence across the team. Identify and solve systemic bottlenecks in scaling environments and data generation.
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