Software Engineer, AKUR8
AI Agents
$120-200k
+ Annual bonus
3 days a week in office
Next-gen insurance pricing and reserving platform
Open for applications
Next-gen insurance pricing and reserving platform
201-500 employees
Open for applications
$120-200k
+ Annual bonus
3 days a week in office
201-500 employees
Company mission
To empower actuarial, pricing and reserving experts to make better decisions, faster.
Role
Who you are
- 2 - 5 years of experience building software professionally, with strong programming fundamentals (we work mostly in Python)
- Proficiency with LLM APIs, agent frameworks, and modern retrieval patterns. You stay current as the field moves. We don't need classical ML expertise - we need someone on the frontier of applied AI
- Strong track record of shipping high-impact work in ambiguity. You take a vague problem, define what "good" looks like, ship a v0, and iterate
- Experience shipping user-facing products, either backend or full-stack
- Drawn to the question "how do we know this is actually better?" - excited to build the evaluation infrastructure that answers it rigorously
- Curiosity over domain experience. No insurance background needed - you learn fast and care about understanding the problem space deeply
- Strong written and spoken English
What the job involves
- Our AI team is small, talent-dense, and operates with real ownership. We maintain open-source projects with thousands of stars and publish work recognized across the AI ecosystem. The problems we work on are active research areas where no one has great answers yet
- You'll own the full feedback loop: diagnose where the product falls short, rigorously analyze root causes, build evaluations, and ship improvements that customers feel
- The work spans agent systems, evaluation and data quality, and production engineering in roughly equal measure
- You'll work directly with customers when it helps you understand the problem deeply - we believe engineers should have a clear line of sight to the people using what they build
- Design and refine tool-calling patterns and agent orchestration to handle multi-step research tasks that requires reasoning across thousands of related documents
- Build ingestion and normalization systems for complex structured documents at scale - millions of filings where formats vary and each version builds on the last
- Build and iterate on reinforcement fine-tuning harnesses, including training graders for research tasks with non-verifiable reward
- Develop tooling to measure, profile, and optimize agent pipeline performance - latency, cost, and quality across millions of calls
- Run experiments end-to-end: design, analyze, and translate into clear product recommendations
- You'll work on genuinely hard, unsolved problems at the intersection of AI systems and a massive real-world data domain
- You'll ship to production regularly, talk to customers, and see your work change how people make consequential decisions
- The team is small enough that your judgment directly shapes the product - and we're building it to be best in class
Our take
Putting the correct pricing on insurance has always been a challenge for insurers. Pricing too low can decimate profits, but pricing too high is a sure-fire way to drive off customers. Despite this importance of pricing, it has generally remained a human task, and therefore prone to errors and biases.
AKUR8 wants to change this, delivering an AI-based solution that automates pricing modelling for insurers, while maintaining the transparency and control required by regulators. By leveraging machine learning, the platform enhances insurers’ pricing processes, reducing modelling time whilst increasing predictive power.
Recently, AKUR8 has expanded its platform with Rate Repo and Deploy, providing a unified, end-to-end actuarial workflow from model creation to live deployment, and with AKUR8 Discover, integrating AI-driven market and regulatory intelligence from AMatrisk. These tools give insurers a single source of truth for pricing, faster operational deployment, and actionable insights from unstructured filing and competitive data.
Alongside this, the company is backed by some serious funding and a global expansion strategy. And now empowers insurers like AZA, Generalis, cementing its position as a next-generation, end-to-end actuarial platform.
Freddie
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Company HQ
Saint-Georges, Paris, France
Leadership
Samuel Falmagne
(Co-Founder & CEO)Worked at IBM for over 17 years, holding a range of executive roles, and also served as Head of Sales for Shift Technology.
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