Python AI Agent Engineer, Intropic
+ Employee stock options + Performance-based bonus
More information about location
5 days a week in office
Cloud-based data processing
Open for applications
Cloud-based data processing
21-100 employees
Open for applications
+ Employee stock options + Performance-based bonus
More information about location
5 days a week in office
21-100 employees
Company mission
To unlock the true power of information.
Role
Who you are
- Strong communication with both a technical and non-technical audience
- Independent and self-driven learner, able to step outside of their area of expertise
- Python; we work with asyncio, SQLAlchemy, FastAPI, Pydantic, NumPy, Pandas
- SQL; performance tuning, schema design, monitoring in production, we mainly work with PostgreSQL
- Experience with transformer LLMs - attractive, nice to have
- Cloud (AWS) deployments and monitoring, basic networking and security best practices
- Command line familiarity, git, automated testing, modern software development best practices
- Docker, terraform, CI/CD
- Experience with financial data (equity securities)Experience with traditional ML/statistical models
What the job involves
- We are a fin-tech start-up with a successful suite of products, now ready to build the next big thing. You must thrive working on open-ended problems across a range of disciplines; we are a start-up where our engineers do much more than just pick up JIRA tickets.
- A typical week may include debugging python, deploying infrastructure changes, talking to product early-adopters, and strategic planning with the team leads. We hire the person not the CV; if you’re interested, we’d love to hear from you!
- Working with product managers, research analysts and other engineers to define project scope and requirements
- Maintaining, extending and improving Intropic’s suite of products
- Writing clean, well-tested and production-ready Python code
- Working alongside the team leads to design and build a great product
- Developing REST APIs, data processing pipelines, and python libraries
- Deploying production-quality code; we focus on being pragmatic and impactful
- Maintaining and monitoring production systems and assisting with support
- This is a full time role, expected to start immediately
Salary benchmarks
Our take
More data was generated in the last two years than in the entirety of human history. This trend will only continue, and extracting value out of this information will be one of the defining topics of the 21st century.
Intropic's Data Refinery is designed to revolutionise the ease with which companies and enterprises interact with information, starting with the finance industry. According to IBM, more than 70% of companies are lagging in their ability to derive value from the data they collect, meaning they are missing out on the insights and advantages a comprehensive analysis can bring.
Intropic aims to capitalise on this increasingly open and challenging market as more companies seek to develop their data infrastructure and tooling to benefit from the knowledge it holds.
Freddie
Company Specialist at Welcome to the Jungle
Insights
152% employee growth in 12 months
Company
Funding (1 round)
Feb 2022
$25.3m
EARLY VC
Total funding: $25.3m
Company benefits
- Private health insurance
- Dedicated learning budget
Company values
- Thinking with rigour - We are on the constant pursuit of knowledge. Our team is a collective of inquisitive thinkers seeking hidden answers and new ways to solve problems.
- Making theory a reality - It takes vigorous testing to make something truly intuitive. Our team is always hands-on, building things and taking them apart to make sure we find the best possible way for them to work.
- Putting people first - We're not just in the business of information. We're here to help businesses make better decisions that impact the people around them and the world. We don't get lost in the numbers, because we know they always relate back to human nature.
Company HQ
Holborn, London, UK
Leadership
Ravinder Bhadhal
(Co-Founder & CEO)Spent 10 years as the Global Head of Data at Man Group. Started his career at UBS and graduated with Computer Science degree from UCL.
Sam Shannon
(Co-Founder & CPO)Previously a Quantitative Trader at Segantii Capital Management & and at Morgan Stanley. Awarded the Dean’s list in Particle Physics from UCL.
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