Senior Python Engineer, Genie AI
£75-85k
+ Stock options
We are a Sunday Times Best Places To Work award winner and Deep learning based software company
Be an early applicant
We are a Sunday Times Best Places To Work award winner and Deep learning based software company
21-100 employees
Be an early applicant
£75-85k
+ Stock options
21-100 employees
Company mission
Genie AI's mission is to open source the law.
Role
Who you are
- 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
- We’ll continually develop and measure success on the below criteria:
- Product-engineering 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
- You are a Python ninja!
- You possess a product engineering mindset
- You enjoy cross-team collaboration
- You have solid experience with APIs development and database design
- 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
What the job involves
- As a Senior Python Engineer 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 engineering based role, some of your key day to day duties will include:
- Our org structure is composed of cross-functional 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 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 project mission
- 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: 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
- We don’t structure your work for you
- We give the team the what and the whole team comes 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
- We are inventing a new product, so you’ll be involved in the product refinement sessions
Application 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 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 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
Our take
Genie AI is a machine learning startup with a mission to open source the law. Its platform automates the drafting and review of legal contracts through workflow tools and AI. Companies on Genie no longer have to pay £5000 to a law firm for their contract, but can pay Genie a cheaper monthly fee instead.
Genie is not just AI - it works with a marketplace of top tier lawyers, combining the best of human and machine intelligence to deeply understand contracts. Its state of the art deep learning, private and explainable machine learning algorithms have been developed in conjunction with professors at Imperial College, UCL and Oxford University, and the team have published papers in top NLP conferences with Oxford University. The company most recently partnered with The University of Bristol to provide free legal contracts for the next generation of entrepreneurs.
Genie is already becoming a leader in the legaltech industry, having been selected on multiple government trade missions, mentioned in parliament by the Secretary of State for Justice, and backed by world leaders such as Lord Neuberger, the former President of the Supreme Court. It is very well positioned in the generative AI market that is expected to be worth around $110B by 2030.
Freddie
Company Specialist at Welcome to the Jungle
Insights
35% female employees
Company
Funding (last 2 of 7 rounds)
Oct 2024
$17.8m
SERIES A
Aug 2023
$0.3m
GRANT
Total funding: $24.5m
Company benefits
- Top of the line MacBook Pro or Air
- Generous home office budget
- Unlimited business or technology books
- Subscription to The Lawyer
- Regular knowledge sharing sessions with experts
- Regular meditation and wellbeing sessions
- Team dinners & pub evenings
- Work from home or in the office
- Personal training budget
- Unlimited holiday
- Cycle to work scheme
- Give to charity with pre-tax payroll giving
- Outdoor hiking trips
- Join our (rather terrible) music band!
- Get free plants, gadgets, food & more with our employee benefits platform
- Work with all the latest apps and technologies
- Private Healthcare
Company values
- Align personal goals with company goals
- Share knowledge, grow together
- Never compromise quality
- Everyone has an equal voice
- Freedom to own what you do
- Think big, take massive risk
- Work should be fun!
Company HQ
London, UK
Articles
Leadership
Nitish Mutha
(CTO)MSc in Machine Learning taught by Google Deepmind, previously Senior Software Engineer at Automatic Data Processing, award winning software engineer and launched Genie AI at Entrepreneur First.
Rafie Faruq
(CEO)MSc in Machine Learning taught by Google Deepmind, previously Bond Trader at Daiwa Capital, lifelong coder and launched Genie AI at Entrepreneur First.
Diversity, Equity & Inclusion at Genie AI
Charlette Hinds (Talent Acquisition Manager)
- Democratising the Law starts with democratising our Teams! And this is why we:
- 1. Have our own Internal Equality, Diversity & Inclusion (ED&I) program defined, hosted & tracked by our Genies
- 2. Host quarterly ED&I sessions with participation on rotation to ensure that all of our Genies are heard & to encourage diversity of thought
- 3. Release anonymous, annual surveys to reveal trends & identify areas of improvement
- 4. Internally host a number of Guilds (voluntary, employee-led groups) whose aim is to foster a more diverse & inclusive workplace. Current Guilds include Hiking Club, Paper club, Music Club, ED&I, Book Club, Legal Learning & Gaming to name a few!
- 5. Have an unlimited budget for all Business, Law & Technology Books
- 6. Every Genie has an annual £500 L&D budget plus an associated 5 days off for any learning
- 7. Offer fully flexible working
- 8. Offer enhanced parental leave package for both parents
- 9. We use an objective scoring system that actively removes bias from the interview process, and try to ensure a good balance of diverse interviewers
- We make our ED&I journey fully transparent so if you would like to review please email our Talent Acquisition Manager, Charlette Hinds
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