AI Engineer, V7
Synthetic Data Pipelines
Salary: Up to $500.00 per day. Offers Bonus
AI agents getting real work done
Be an early applicant
AI agents getting real work done
21-100 employees
Be an early applicant
Salary: Up to $500.00 per day. Offers Bonus
21-100 employees
Company mission
We’re building AI agents that help humans do their best work, at incredible scale and speed. Our mission is to turn human knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate.
Role
Who you are
- The role requires strong command of experimental methodology, comfort with ambiguity, and fluency in large language model (LLM) systems—especially context engineering, agentic execution strategies, and performance optimization
- 3+ years of software engineering experience with at least one major programming language (Python or JavaScript preferred)
- Strong academic background with an MS or higher in Computer Science, Engineering, Mathematics, or a related scientific field
- Deep familiarity with Git, DVC, shell environments, and data pipeline orchestration
- Solid foundation in statistics and experimental design, especially in the context of ML evaluation
- Experience working with LLM systems, including:
- Prompt and context engineering
- Agentic workflows
- Output optimization and reliability strategies
- Familiarity with recent research on LLM training datasets and evaluation benchmarks, including:
- CoDA: Agentic Systems for Collaborative Data Visualization
- ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation
- Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning Data
- ChartQA-X: Evaluation and Augmentation for Visual Chart Reasoning
- Curiosity
- A bias toward iteration and improvement—welcoming early feedback, embracing failure as part of the discovery process, and viewing feedback not as criticism but as a signal for the next meaningful step forward
- A structured and analytical mindset, with strong attention to the scientific soundness of results
- The ability to thrive in fast-moving environments without clearly defined playbooks
- A preference for modular, reproducible systems over ad-hoc experimentation
- Rigour in both code and evaluation, especially when assessing LLM behaviour through proxy metrics and synthetic data feedback loops
- Don't check every box? Apply anyway — we value what makes you unique and will support you through the process, just let our Talent team know how they can help
What the job involves
- We are a high-impact team at the forefront of AI research and engineering, developing large-scale synthetic data generation pipelines to train cutting-edge machine learning models. Our work blends rigorous experimentation with robust engineering, bridging the gap between foundational research and production-quality systems
- We are seeking a technically strong and scientifically grounded AI Engineer to lead the development and evaluation of synthetic data pipelines used to train frontier models. You will design modular, reproducible pipelines that can be evaluated using proxy performance metrics, while collaborating closely with researchers and ML practitioners
- You will be expected to move quickly, maintaining high-quality standards and leveraging modern AI tooling to streamline every stage of development
- Design, implement, and maintain synthetic data generation pipelines for multi-modal training tasks
- Evaluate pipeline output using well-grounded proxy metrics and sound statistical experiments
- Own the design and execution of experiments involving LLMs, ensuring high reproducibility and clarity of findings
- Apply agentic design patterns and context engineering techniques to maximize model performance
- Use tools like Cursor, GitHub Copilot, and LLM agents to accelerate iteration, debugging, and documentation
- Collaborate with researchers and engineers across the stack to translate experimental insights into scalable systems
- This is a rare opportunity to contribute directly to the next generation of training infrastructure for advanced AI systems. The challenges are complex, the tooling is bleeding-edge, and the impact is tangible. You will be surrounded by researchers and engineers who care deeply about both product and science, and who are committed to solving hard problems with clear thinking and high standards
- This project will be an initial 4 weeks, with contracted hours of 8.5 hours per day / 5 days per week
Salary benchmarks
Our take
AI is currently utilised across multiple industries, requiring companies to continuously collect, organise, and label image data so that AI models can adapt to new scenarios. However, the responses they get from AI can easily fall into the simple back-and-forth of chatbots. V7 is changing this through developing AI agents that simulate how humans reason through problems, reducing errors, increasing reliability, and linking the outcome back to its original data source. All of this amounts to vision-based AI models that learn continuously and with minimal human supervision.
V7's Go platform can ingest documents, images and text and boil them down to AI-solvable steps. Alongside automating mundane tasks, the Go platform has a user interface that supports customised workflows - all with no code required. The company says that using only 100 human-annotated examples in its toolkit, it can label the rest of the training data autonomously. Although it found its first customers in medicine and health sciences, its product is being picked up by everyone from tech companies to asset managers and law firms.
With the launch of V7 Go, the company is taking a bold leap into business automation, making powerful AI easy for everyday users. Backed by big-name customers, strong accuracy results, and 2022's Series A investment round, V7 is very much ready to become a major player in the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
74% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Nov 2022
$33m
SERIES A
Jul 2021
$7m
SEED
Total funding: $50m
Company benefits
- Retreats: Meet the whole team in a warm, stunning location over 4 days of team-building, workshops, celebrating, and skill sharing. Majority of departments also do mini-retreats throughout the year
- Competitive stock options: Own a piece of V7 and multiply its value as you grow with us. We benchmark at the top 15% percentile of options grants and employ a UK EMI scheme
- Tech at its best: You’ll get the most recent mac hardware for your role and top of the line software for your function. As a premium SaaS product ourselves, we believe in selecting top of the line tools
- Development budget: You’ll be able to spend £800 a year on your personal learning and development, and you'll benefit from separate team budgets for conferences, events and more
- Everyday that you are in the office, you will receive a £15, or equivalent deliveroo/ uber eats voucher
- Health and wellbeing monthly budget
- HQ in London: Situated right next to Oxford Circus, our office is a cool place to be. We have fully stocked fridges and snacks, Thursday team lunches in the area and host frequent events such as investor Q&A, Guest AI expert speakers, Halloween social and customer interviews 🇬🇧
Company HQ
Fitzrovia, London, UK
Articles
Leadership
Alberto Rizzoli
(Co-Founder & CEO)Previously CEO at Aipoly, the first smartphone engine for convolutional neural network. Management & Stats grad at Cass Business School & Singularity University. Never had a real job.
Simon Edwardsson
(Co-Founder)Studied Computer Engineering at Chalmers University of Technology. Previously Co-Founder at Aipoly and Lead R&D Engineer at Retail Solutions Inc.
People progressing
Anastasia joined as V7's first Operations hire back in November 2021, progressing quickly to Head of Business Operations and now leading a team of 6.
Balys joined our Architecture team back in 2022 as Senior Software Engineer and is now Staff Software Engineer at V7.
Jade joined us in our customer team before moving into a Product role where she now oversees the strategic roadmap for our AI products.
Diversity, Equity & Inclusion at V7
Joe Stephenson (Senior People Operations Manager)
- At V7, we're in the early stages of our journey to champion inclusivity and equality at every step— from the moment candidates consider joining us to every milestone of their journey as as an employee. Our Co Founders care deeply about fostering a environment (Hybrid + Remote) where V7ers feel valued, respected and a strong sense of belonging. In 2023, we implemented or enhanced initiatives including competitive parental leave, flexible working hours, charity fundraising and engaging educational events. We are proud of the work done so far as a Series A fast growing company, but know there is a lot to do.
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