Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Software Engineer, Agent Experiences

The Rundown AI, Inc.
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Contract

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Machine Learning Engineer – Insurance

Senior Mission Systems Engineer (Onboard Computing)

Senior Mission Systems Engineer (Onboard Computing)

Senior Mission Systems Engineer (Onboard Computing)

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Scroll down for a complete overview of what this job will require Are you the right candidate for this opportunitySnapshot Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.Our team explores what it means to build universal agents for people, powered by Google DeepMind’s cutting edge capabilities. We do this by rapidly iterating on prototypes and deploying promising capabilities to gather feedback from test populations. Examples include Project Astra.The Role We’re looking for someone to build and explore agent CUJs and iterate on them to reach transformative experiences for users. This will involve engineering spanning from an Android front-end written in Kotlin, with JNI C++ components, to Python server-side agent orchestration to LLM model inference, as well as integration into various other Google products and services. It will also involve exploring other surfaces as needed.Key responsibilities

Ideate, explore, prototype, and de-risk LLM-based agent capabilities and use cases.Build, productionize, and deploy agent experiences spanning device-side front-ends to server back-ends and models.Build platforms and components that enable faster exploration and deployment of these experiences.Quantitative and qualitative evaluation of personal agent capabilities and experiences.About You In order to set you up for success as a Software Engineer at Google DeepMind, we look for the following skills and experience:Bachelor’s degree or equivalent practical experience.5 years of experience with software development in one or more programming languages, and with data structures/algorithms.Interpersonal skills, such as discussing technical ideas effectively with colleagues and collaborating with others in interdisciplinary teams.A degree in computer science, software engineering, or equivalent experience.In addition, the following would be an advantage:Experience in ML systems integration and evaluation.Experience in Google server development and deployment.Experience with Google’s release processes.The US base salary range for this full-time position is between $161,000 - $300,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.Application deadline:

12pm CST March 3rd 20225Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.