Senior Python Engineer

• A unique opportunity to help develop an industryleading 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 AI features

• This requires a risktaking creative and out of the box thinker to transgress limits we see set across the legaltech industry

Your purpose in our mission

Weve 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 composed of crossfunctional teams each with a distinct area 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 wed 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 project mission.

This is what youll be doing

As a Senior Python Engineer at Genie AI youll be joining us in a dynamic stage of our growth so youll face lots of different challenges. Youll get the chance to immerse yourself within the world of law legal contracts and AI at a startup that is genuinely MLcentred. In a fully engineering based role some of your key day to day duties will include:

• Work closely with product manager tech lead designers and other engineers to define product requirements

• Productionising AI features using Docker and microservices

• Taking architectural ownership for various critical components & systems: such as building API endpoints to different microservices and implementing a big data software architecture to process large amounts of data

• Writing clean efficient thoroughly tested code: backedup 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 well 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:

• Have a clear understanding of and fully embrace our engineering work culture

• Be actively contributing to delivering impactful features and solutions that align with the Genie roadmap and drive value

• Fully understand and expertly own Genie python code

Well continually develop and measure success on the below criteria:

• Productengineering mindset

• Engineering best practices

• Work culture

• Code quality testability and deployability

• Understanding and ownership of our current codebase

• Efficiency of interfacing with our product manager designers backend frontend and ML team and translating research code into production

We are a startup 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 were 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 autonomy of your role youre 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 dont structure your work for you. We give the team the what and the whole team comes up with the how

• We dont 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

• We are inventing a new product so youll be involved in the product refinement sessions

But we think youll love

• The autonomy and trust we give you to deliver your best work

• Learning from some of the brightest minds in the field of AI

• The exhilaration of a fast pace start up

The skills you need to succeed in this role

• You are a Python ninja!

• You possess a product engineering mindset

• You enjoy crossteam collaboration

• You have solid experience with APIs development and database design

• Youre 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

(Dont 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 CoFounder Nitish to assess your ML skills

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

• Step 4: Trial working day where you will get to meet the team and get hands on with product!

  We cant wait to meet you! Bring your authentic self and get ready to explore our culture team events and big mission. Were excited to discover what makes you and us unique.

Our benefits

Heres just some of the benefits you can look forward to when you enter the Genies 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 topoftherange 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. Were 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. Were conjuring up a communitybased AI law platform thatll change the game. Join us and lets make some legal magic together!

• 100000 companies use Genie AI today weve been growing exponentially!

• Were funded by the worlds top investors with significant runway and were growing the team

• Weve collaborated with Oxford University and Imperial College London to coauthor research papers on explainable AI

• According to Forbes were also rated one of the top 29 AI startups in the UK

• Were a Sunday Times Best Places to Work Award Winner 2024

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

• Our customers save on average 15000 on legal fees per year with Genie

• This isnt just a SaaS product were 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 were committed to creating a diverse environment. Whilst were on the cutting edge of innovation its 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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