Join the Genie Community - the legal knowledge sharing community open sourcing and automating legal contract drafting.

• A unique opportunity to help develop an industry-leading, SaaS artificial intelligence product in the legal sector, solving real life problems
• Working between our Engineering & Machine Learning (ML) Teams, you will be responsible for productionising ML & Large Language Model (LLM) features
• This requires a risk-taking, creative and ‘out of the box’ thinker to transgress limits we see set across the legaltech industry

Your purpose in our mission

We’ve raised $17.8 million in Series A funding led by Google Ventures and joined by Khosla Ventures. They believe in our vision that the law should be accessible to everyone. Working with the latest LLM technologies, we need your skills to push the boundaries of what is possible in law.

Your manager and team

Our org structure is made up of pods with distinct areas of focus to keep us all working on the most impactful things for our customers all of the time. Some of our team members work across multiple pods. Our structure was conceived with impact, autonomy and velocity in mind and we'd love to share more with you throughout our interview process. Your manager, Daniele Tassone - Technical Director (Product Engineering), will develop your skills and enable you to deliver on the pod mission.

This is what you’ll be doing

As a Senior Software Engineer - Machine Learning at Genie AI you’ll be joining us in a dynamic stage of our growth so you’ll face lots of different challenges. You’ll get the chance to immerse yourself within the world of law, legal contracts and AI at a start-up that is genuinely ML-centred. In a fully non-research based role, some of your key day to day duties will include:

• Productionising ML & LLM features: Develop and deploy AI applications that perform reliably and efficiently in production environments

• Design, implement, and optimize scalable applications to support growing demands

• Taking architectural ownership for various critical components & systems: from building API endpoints for microservices to designing big data architectures for processing large-scale data

• Writing clean, efficient, thoroughly tested code:backed-up with pair programming and code reviews

• Taking ownership of monitoring and observability for our LLM systems

• Exploring & evaluating new technologies, frameworks and tools

• Deploying on cloud computing platforms like AWS & GCP

This is how we’ll set you up for success and the outcomes we expect from you

Over your first 90 days you can expect us to help point you in the right direction to set you up for success. During the interview process we can talk you through a high level overview of your 90 day plan. 

By the end of your first two months we expect you to:

• Culture: have a clear understanding of engineering work culture, embrace our core principles

• Demonstrate full integration within the engineering team, consistently delivering value and contributing to the Genie roadmap

• Fully understand and expertly own Genie python code

We’ll continually develop and measure success on the below criteria:

• Engineering best practices

• Work culture (communication and collaboration with their peers)

• Code quality, testability and deployability

• Understanding and ownership of our current codebase

• Efficiency of interfacing with our ML team and translating research code into production

We are a start up in an exceptionally dynamic stage of our growth. We are a customer and employee led organisation. What this means is that we adapt to our customers' needs, and the problems we’re solving today could be very different in six months, or even by the end of this recruitment process. We also listen to our team as we empower you to have full autonomy of your role - you're the expert. You should expect to work with us on how your role develops, grows and changes throughout your time at Genie.

It can be tough here because

• We don’t structure your work for you. We give you thewhatand you come up with the how

• We don’t try to get things perfect the first time. We get things to good enough, and then we continuously iterate

• This role sits between our engineering and ML teams so it can be challenging to effectively straddle two areas

But we think you’ll love

• Collaborating closely with both product and engineering teams to shape impactful solutions and drive product success

• Tackling real-life challenges by developing practical and impactful solutions

• Focusing on practical implementation and delivery, driving tangible results following engineering best practices

• Working with the latest LLM technologies

The skills you need to succeed in this role

• You are a Python ninja!

• You are excited and care about building robust AI applications in production

• You are keen to roll up your sleeves and do frontline work 100% of the time

• You have sound technical knowledge of databases (SQL/NoSQL)

• You possess solid Python engineering experience coupled with recent exposure to working with LLMs & have previously built an AI product

• You have an understanding of ML algorithms & techniques and their applications, especially in the fields of NLP & LLMs.

• You have sat between research & engineering teams before acting as a go-between and managing stakeholders

• You enjoy cross-team collaboration

• You're keen to work independently, as well as collaborate with a small, diverse team, within an agile environment

• You possess a strong testing and quality mindset

• You are passionate about self development and your own continual learning

(Don’t worry about ticking every single box on the list to be considered for this role.)

Unleash your magic: our interview process

• Step 1:Meet our Talent Acquisition Lead, Charlette, to assess your motivations and baseline technical skills

• Step 2:Meet our Lead ML Research Scientist Alex P and CTO and Co-Founder, Nitish to assess your ML skills

• Step 3:Meet our Technical Director (Product, Engineering), Daniele and our Lead Frontend Engineer Alex D to assess your engineering skills

• Step 4:Culture interview with our Frontend Engineer, Merve and our Growth Marketing Lead, Alex Denne

We can’t wait to meet you! Bring your authentic self, and get ready to explore our culture, team events, and big mission. We're excited to discover what makes you and us unique. 

Our benefits

Here’s just some of the benefits you can look forward to when you enter the Genie’s lamp:

• Generous Stock Options:We want all our genies to share in our success 

• Private healthcare:To help keep you fit as a fiddle

• Fully Remote Working:Work from anywhere your heart desires 

• Unlimited book budget: Dive into an unlimited budget for business, law, or technology books

• Home Office Setup:Equip your home office with the best – a top-of-the-range laptop, monitor, wireless keyboard, mouse, and a comfortable office chair. Your workspace will be as splendid as a royal palace

• Learning and Development Budget:Each Genie gets an individual £500 L&D budget annually, plus five days off for any job specific learning adventures

• Unlimited Holiday:Take as much time off as you need to recharge your batteries

• Parental Leave:Both genie parents get enhanced leave to welcome their little genies into the world

• Free access to Genie:For you to create, negotiate and collaborate on legal documents in real time on one platform!

About Genie AI

Genie AI is a machine learning startup with a mission to enable everyone to draft quality legal documents. We're shaking up the legal world and flipping the business model on its head!

Think of what GitHub did with open source code, Instagram and TikTok with entertainment, Airbnb with hospitality, and Uber with travel – Genie AI is doing that with legal contracts. We're conjuring up a community-based AI law platform that'll change the game. Join us, and let’s make some legal magic together!

• 100,000 companies use Genie AI today - we’ve been growing exponentially!

• We’re funded by the world’s top investors, with significant runway - and we’re growing the team

• We’ve collaborated with Oxford University and Imperial College London to co-author research papers on explainable AI

• According to Forbes, we're also rated one of the top 29 AI startups in the UK

• We're a Sunday Times Best Places to Work Award Winner 2024 

• We’re backed by top legal pedigree, from Lord Neuberger to representing the UK on multiple Ministry of Justice trade missions

• Our customers save on average £15,000 on legal fees per year with Genie

• This isn’t just a SaaS product - we’re redefining the business model of law

Ready to grant wishes and disrupt a £750bn industry? Click apply and join us in creating a world of digital wonders!

At Genie, we’re committed to creating a diverse environment. Whilst we’re on the cutting edge of innovation, it’s all about the people. We embrace differences and hire based on merit, giving equal consideration to all applications, regardless of gender, background and race.

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