---
title: 'Data Engineer at Solve Intelligence'
canonical: 'https://feeny.ai/job/data-engineer-solve-intelligence-london-1tj8xjfe5ayp'
type: 'job'
last_seen: '2026-09-16'
---

# Data Engineer at Solve Intelligence

- **Company:** Solve Intelligence
- **Location:** London, United Kingdom
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-16
- **Last confirmed live:** 2026-09-16
- **Apply:** https://jobs.ashbyhq.com/solveintelligence/7e42954a-cb4a-4aa4-a317-fb0a23ded383

## Job description

💡 About Us We're the fastest-growing startup transforming the IP industry.

- Traction: 20-30% MoM revenue growth; selling to 700+ global IP teams (DLA Piper, tech boutiques, and global enterprises).
- Proven Value: Users report 50-90% efficiency gains using our AI platform.
- Backing: Recently featured in Sifted following our $40M Series B announcement, bringing our total funding to $55M from elite investors including Y Combinator, 20VC, Visionaries, Microsoft and Thomson Reuters.

🏗️ About the role We’re hiring a data engineer to build the ingestion and search systems behind Solve Intelligence’s AI products. Our sources include global patent literature, case law, technical standards and contributions, scientific databases, academic papers, and content from across the web. The data spans structured records, documents, images, audio and video. You’ll work across bulk ingestion and on-demand retrieval, making this information searchable and useful in our products You’ll own systems from source acquisition through to serving queries. The work includes:

- Large-scale ingestion. Build and operate high-throughput, resumable pipelines for large datasets, with efficient incremental updates, monitoring and recovery from failures.
- Document processing and data quality. Extract useful content from complex documents and other formats. Handle malformed records and changing schemas, and validate outputs while preserving structure and metadata.
- Search and serving. Build keyword, vector and structured search, and design schemas, indexes and partitioning for fast queries over tens to hundreds of millions of records.
- Connecting information across sources. Link patents, scientific records and supporting documents, preserve dates and versions, and make results traceable to their original sources.
- Performance engineering. Profile parsing, ingestion, database builds and queries throughout development, testing against representative datasets at realistic scale. Diagnose CPU, memory and storage I/O bottlenecks, and tune jobs and infrastructure for throughput, latency and cost.

You’ll work closely with our AI researchers and product engineers, with substantial freedom to choose the approach and build the systems yourself.

🛠️ What you bring Must haves:

- Strong Python and SQL, with experience designing and operating production databases.
- Solid experience building and operating production data pipelines over large, messy datasets.
- Expertise with running search systems over large document collections.
- End-to-end ownership from raw data to user-facing functionality.
- A good understanding of schema design, indexing and query optimisation.
- A track record of diagnosing and fixing performance bottlenecks in live systems through profiling and measurement.

Nice to Have:

- Experience with PostgreSQL/pgvector, OpenSearch (or Elasticsearch), Spark/Delta Lake, AWS, NoSQL databases, or Rust/C++ is useful.

👋 The Founders You'll partner with a founding team of AI PhDs and elite systems engineers:

- Sanj (CRO): PhD in AI (Gatsby Unit, UCL), ex-Huawei R&D, former lead at Magic Carpet AI (acquired).
- Chris (CEO): PhD in AI (UCL), published researcher, ex-Dyson and Alan Turing Institute.
- Angus (CTO): MEng Computer Science, ex-Qualcomm and Coremont (Brevan Howard).

## What we offer

- Competitive Salary + Significant Equity: We want you to have true ownership in the success of the company.
- Founding Impact: You'll have a direct hand in how we build out the data infrastructure the rest of the product depends on.
- Support: Full visa sponsorship and private medical insurance.
- The Environment: Free meals and a seat at the table with an incredibly smart, ambitious team.

## About Solve Intelligence

## Company Overview
- **One-liner**: Solve Intelligence provides an AI-powered platform for patent drafting, prosecution, claim charts, and invention harvesting, trusted by over 500 IP teams globally.
- **Entity Type**: Private (Series B – raised $55M total from Y Combinator, Microsoft, Thomson Reuters, 20VC, and others)
- **Headquarters**: London, United Kingdom (with offices in New York, US and Munich, Germany)
- **Founded**: 2023
- **Founders**: Chris Parsonson, Sanj Ahilan, Angus Parsonson

## Core Business
- **Primary industry**: Legal technology (intellectual property and patents)
- **Target customers**: B2B – IP law firms, in-house corporate legal teams, and independent inventors
- **Mission**: To make the patent process faster, cheaper, and higher quality by leveraging AI breakthroughs, covering every step from drafting to grant and litigation.

## Products & Services
- **Patent Application Drafting**: AI-assisted interactive drafting of full and partial patent applications (standalone, continuation, divisional, CIP, and design). The AI adapts to the user’s writing style and supports figures, chemical structures, and biological sequences.
- **Office Action Response (Prosecution)**: Collaborative drafting of responses with AI-generated claim amendments, arguments, and built-in citations to file wrapper documents and case law.
- **Claim Charts**: Interactive generation of invalidity, SEP, freedom-to-operate, infringement, and portfolio analysis charts. The AI provides multi-source citations and transparent logic per cell.
- **Invention Harvesting**: Standardized invention disclosure forms, customisable question sets, and a central dashboard to track submissions and inventor status.

All products are delivered as a SaaS platform with strict security guarantees: no AI model training on customer data, SOC 2 Type 2 / ISO 27001 / ISO 42001 / GDPR / CCPA compliance, data stored and processed locally (US, Europe, etc.), and AES-256 / TLS 1.3 encryption.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Key Metric**: Total funding of **$55M** (Series A $12M, Series B $40M, plus seed)
- **Notable Investors/Partners**: Y Combinator (Summer 2023 batch), Microsoft, Thomson Reuters, 20VC, Operator Collective, Visionaries
- **Notable Customers**: DLA Piper, Siemens, Perkins Coie, Amgen (among 500+ IP teams across six continents)
- **Growth Signals**: Team size of **43** (as of mid-2025); launched a new Claim Charts product; reported 60–90% efficiency gains by customers; active hiring across engineering, AI, and legal roles.

## Competitive Advantages
- **Uncompromising confidentiality**: No customer data used for AI model training; sandboxed per client; no third-party monitoring.
- **Enterprise-grade security**: SOC 2 Type 2, ISO 27001, ISO 42001, GDPR, CCPA; data localization and encryption in transit/at rest.
- **Domain-specific AI**: Built by a team combining patent attorneys, AI PhDs, and software engineers; the AI understands patent law nuances, supports multi-source citations, and adapts to individual writing styles.
- **End-to-end coverage**: Drafting, prosecution, claim charts, and invention harvesting in one platform, reducing the need for multiple tools.

## Strategic Focus
- **Product expansion**: Continue building out features for the full patent lifecycle (including litigation support).
- **Global reach**: Growing presence across the US, Europe, and Asia, with customers on six continents.
- **AI quality**: Deepening the AI’s ability to handle complex technical content (e.g., chemical structures, biological sequences) and improving citation accuracy and transparency.

## Why Work Here
- **Impact**: Work on AI that directly improves patent quality and speed for the world’s top IP teams. The founders are PhDs in machine learning with a track record of publishing at top AI conferences.
- **Team**: A mix of AI researchers, software engineers, and patent attorneys – a rare combination that fosters cross-domain learning.
- **Flexibility**: Hybrid/remote-friendly roles available; offices in London, New York, and Munich. Some roles are open to “any (new grads ok)”.
- **Compensation**: Salaries range from $70K to $250K (depending on role and seniority), plus equity.
- **Culture**: Emphasis on trust, transparency, and innovation. The company is Y Combinator-backed and growing fast (43 employees, actively hiring).

## Sources
1. [solveintelligence.com](https://www.solveintelligence.com/) – Product descriptions, security guarantees, customer testimonials, and feature pages.
2. [ycombinator.com](https://www.ycombinator.com/companies/solve-intelligence) – Company overview, founding team, funding ($55M), team size (43), batch (Summer 2023), and job listings.
3. [linkedin.com](https://uk.linkedin.com/company/solve-intelligence) – Headquarters location, industry, and employee count (39–43 range).
4. [cbinsights.com](https://www.cbinsights.com/company/solve-intelligence) – Total funding amount ($55.1M), patent filings, and company financials.

## Other roles at Solve Intelligence

- [Legal Counsel](https://feeny.ai/job/legal-counsel-solve-intelligence-new-york-dm0a57fdfqr4) — New York, NY
- [Legal and Product Engineer (USPTO Examiner Background)](https://feeny.ai/job/legal-and-product-engineer-uspto-examiner-background-solve-intelligence-new-york-vxhawphcjm1h) — New York, NY
- [Financial Operations Lead](https://feeny.ai/job/financial-operations-lead-solve-intelligence-london-fpzmvdc7qp60) — London, United Kingdom
- [Events Lead](https://feeny.ai/job/events-lead-solve-intelligence-london-jyc57ctajvr9) — London, United Kingdom
- [Full Stack (Back-End Leaning)](https://feeny.ai/job/full-stack-back-end-leaning-solve-intelligence-london-m2gtyhhezek5) — London, United Kingdom
- [Customer Support Specialist](https://feeny.ai/job/customer-support-specialist-solve-intelligence-new-york-sypm8n3frysq) — New York, NY
- [Customer Support Specialist](https://feeny.ai/job/customer-support-specialist-solve-intelligence-london-amkmb8481fzt) — London, United Kingdom
- [Legal and Product Engineer (Patent Litigator)](https://feeny.ai/job/legal-and-product-engineer-patent-litigator-solve-intelligence-london-paxm1h7rgf6d) — London, United Kingdom
- [Growth Engineer](https://feeny.ai/job/growth-engineer-solve-intelligence-london-q1wqgmg5kb3y) — London, United Kingdom
- [Motion Designer](https://feeny.ai/job/motion-designer-solve-intelligence-london-22pt4p6jgt2v) — London, United Kingdom