Senior Software Engineer, Genie AI
Machine Learning
£80-110k
+ Stock Options
We are a Sunday Times Best Places To Work award winner and Deep learning based software company
Open for applications
We are a Sunday Times Best Places To Work award winner and Deep learning based software company
21-100 employees
Open for applications
£80-110k
+ Stock Options
21-100 employees
Company mission
Genie AI's mission is to open source the law.
Role
Who you are
- This requires a risk-taking, creative and ‘out of the box’ thinker to transgress limits we see set across the legaltech industry
- 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
What the job involves
- 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
- Working with the latest LLM technologies, we need your skills to push the boundaries of what is possible in law
- 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
- 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
- A fully non-research based role
- 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
- 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
- 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
- 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
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 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
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
Company
Employee endorsements
Meaningful work
"Our work is changing the landscape of how legal services are delivered. To be part of that change & simultaneously make law accessible to the common..."
Funding (last 2 of 7 rounds)
Oct 2024
$17.8m
SERIES A
Aug 2023
$0.3m
GRANT
Total funding: $24.3m
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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