Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and scaling workloads across multi-cloud environments. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.
This role involves building and evolving an AI-driven platform that supports agentic workflows in design and engineering. You will design and develop intelligent systems, orchestration layers, and production-ready AI features using modern LLM frameworks. Collaboration with product managers and designers is key to ensure user-focused and high-quality solutions.
This role involves leading the ML Engineering capability, designing and building ML pipelines, and implementing MLOps practices. You will work closely with Data Scientists to support and improve models in production, and build APIs and data products to enable ML solutions across the business.
This role involves designing and building AI-powered products and platforms using Golang within Citi's high-growth AI Product & Platform team. You'll develop scalable backend services and cloud-native microservices, collaborate with AI specialists, and contribute to developer tools and frameworks. The position emphasizes innovation in distributed systems, generative AI, and modern engineering practices in a start-up-like environment within a global financial institution.
Discover your future at CitiWorking at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow...
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy.They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of...
This role involves designing cloud-native platform architecture on AWS, building reusable Terraform modules and CI/CD pipelines, and supporting AI/ML workloads in production. The focus is on standardisation, scalability, and embedding SRE principles across services.
This role involves identifying, assessing, and mitigating potential catastrophic risks from current and future AI systems. You will design and implement approaches to measure and manage risks, including forecasting and scenario planning for future threats. The team focuses on building trustworthy evaluation systems and ensuring mitigations are effective in novel settings.
This role involves ensuring high-quality software delivery through both manual and automated testing across web, API, and AI-driven features. The engineer will design test strategies, build automated test suites, and integrate testing into CI/CD pipelines, with a focus on cloud-native and AI-enhanced systems. Emphasis is placed on early quality integration, exploratory testing, and validating the reliability and safety of intelligent agent workflows.
This role involves leading the design, delivery, and scaling of enterprise-grade AI engineering strategies and capabilities, focusing on agentic AI systems, cloud-native architectures, and responsible AI deployment. The AI Engineering Manager will combine hands-on technical work with team leadership, ensuring high performance, security, and governance in AI projects.
This role involves working on the core systems that power Synthesia’s script preview and voice generation, ensuring high-quality voiceovers across multiple languages and providers. You will design and evolve backend services, handle provider reliability, and contribute to user-facing product problems, collaborating closely with frontend and R&D teams.
This role involves building end-to-end product features for Synthesia’s Avatars and Generative Media domain, combining frontend, backend, and AI model capabilities. You will take ownership of features from idea to production, working closely with product and design to iterate and refine solutions based on user feedback.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
Multiverse is the upskilling platform for AI and Tech adoption.We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce.Our upskilling apprenticeships are designed for people of any age and career stage to build...
