Engineering Manager - AI

Job Description

📌 About the Role

Jus Mundi is looking for an Engineering Manager (AI) who is both a strong technical leader and a hands on AI builder. This is not a generic EM role. We need someone with real experience building and shipping AI systems using LLMs, RAG, agents, and GPU based training.

Jus Mundi is looking for an Engineering Manager (AI) to lead and grow one of our AI engineering squads while remaining a strong technical contributor. You will manage a squad focused on AI powered data collection, model training and fine-tuning, agent development, retrieval, and more. You will help other squads reliably access our data through our back office, APIs, and search engines and also directly contribute to the design and delivery of our AI models, pipelines, and agentic systems.

Your work will shape the AI technical strategy at Jus Mundi and push the boundaries of what is possible in legal research through GenAI.

🙌 The Team

You’ll be part of our Product & Engineering team, dedicated to building and scaling our customer facing products and internal tools. Our team is known for its collaboration, ownership, and product-minded approach, and you’ll work closely with talented engineers, designers, product managers, and stakeholders across the company to deliver meaningful impact.

🌟Your mission at Jus Mundi

In This Role, You Will

• Lead and mentor an AI engineering squad with a culture of ownership, speed, and quality.
• Define and execute the squad roadmap in partnership with product, including engineering OKRs, DORA metrics, and service SLOs.
• Coach engineers, run performance reviews, and ensure continuous improvement.
• Own code quality, testing, observability, and incident response.
• Collaborate with the CTO and Talent team on hiring plans and act as hiring manager for your squad.
• Drive high security standards and ensure your team keeps customer data safe.
• Improve delivery workflows through CI, CD, automation, and solid engineering practices.
• Contribute hands on to AI system design. This includes retrieval pipelines, model training, agent workflows, inference optimisation, and evaluation.
• Lead strategic initiatives that strengthen our AI capabilities and engineering excellence.
  
  

Preferred Experience

⚙️ Preferred Experience and Skills

Must-have

AI product delivery

• Leadership and ownership
• 10+ years total experience in engineering with 4+ years in technical leadership and people management.
• Proven experience leading AI engineering teams or squads.
• Shipped at least one production LLM powered feature or agent used by real users.
• Experience designing and operating RAG systems: embeddings, chunking, retrieval, hybrid search, metadata filters, reranking.
• Deep experience with vector databases such as Pinecone, Qdrant, Weaviate, Elastic, or pgvector.
  

Model training and fine tuning

• Hands on experience fine tuning or training models, including:
• Language Models
• Embedding Models
• Other Deep Neural Networks
• Familiarity with LoRA, PEFT, SFT, DPO, RLHF or similar approaches.
• Experience creating datasets and evaluation pipelines for training.
  
  

GPU and infrastructure

• Real experience running GPU based training or inference at scale.
• Familiarity with distributed or multi-GPU training techniques.
• Experience with GPU cluster management, optimisation, quantization, batching, caching, and cost control.
  
  

Agentic systems

• Familiarity with agent workflows: tool calling, planners, multi step tasks.
• Experience with frameworks such as LangChain or LlamaIndex or custom orchestration.
  
  

Engineering fundamentals

• Strong software engineering background.
• Ability to define architecture, champion secure design, and align engineering work with product and business needs.
  
  

Bonus:

• Experience with performance optimisation for AI workloads.
• Knowledge of compliance or data governance.
• Experience in startup or scale up environments.
• Public speaking or knowledge sharing experience.
• Familiarity with PostgreSQL, Redis, Elasticsearch, Neo4J, Docker, GitLab, CI and CD, Terraform, and modern DevOps practices.
  
  

Recruitment process

🔄 Interview process

We’re proud of our multicultural team representing 37 nationalities! To ensure smooth communication, please apply in English.

• Screening Call with Laurine, Talent Manager (30 min)
• Technical Test & Deep Dive:
• AI System Design, with Dash, Head of Data, and one person from the Data team
• AI/ML Theory with Akshat, Senior AI Engineer, and Minh-Hoang, Applied R&D Engineer
• Management Interview with Thomas CTO, and Dash or someone from the Product team (1h)
• Team-Fit Interview – (30 min)
• HR Interview – Anna, VP of People and/or JR, CEO (30 min)
  

Please note that, due to the nature of the sector we operate in, the final steps of our recruitment process include reference calls and a background check.

Need More Reasons to Join Us? ✨

• 💻 Enjoy a hybrid working organization that combines remote and on-site work (2 days).
• 🏖 Get 5 weeks of vacation each year, and take them whenever it suits you.
• 🩺 Receive 100% coverage of private health insurance for yourself and your children.
• 🍴 Enjoy 60% company-funded restaurant vouchers for your weekday meals (Swile).
• 😍 Participate in company-wide summits called JM Fest to connect and inspire.
• 🤸‍♂️Stay active with a co-financed ClassPass membership by accessing a variety of fitness and wellness activities.
• 🌍 Enjoy the flexibility to work from anywhere across the globe for up to 8 weeks per year.
• ✈️ Receive relocation assistance to help ease your transition to France.
• 📚 Profit from our support in ongoing training to continually expand your skills and knowledge.
• 💙 Last but not least: Experience a commitment to building a warm, inclusive, and diverse environment.
  
  

At Jus Mundi, we believe that diversity, equity, and inclusion are key to our success. Confidence can sometimes hold us back from applying for a job, but we’ll let you in on a secret: there’s no such thing as a ‘perfect’ candidate. We celebrate diverse backgrounds, experiences, and identities, and we encourage you to apply regardless of how you identify. Whether you’re early in your career or a seasoned professional, your unique perspective and skills are what matter most. Join us in building a workplace where everyone feels valued, empowered, and excited to contribute their best work every day.

Who are they?

Join Jus Mundi – To Power Global Justice 🚀⚖️

Founded in 2019 and recognized as a mission-led company, Jus Mundi is pioneering legal technology to power global justice through artificial intelligence. 🌍 Headquartered in Paris, with additional offices in New York, London, and Singapore, Jus Mundi serves over 150,000 users, including top law firms, multinational corporations, government bodies, and academic institutions in more than 80 countries. By combining legal expertise with cutting-edge AI technology, we provide global legal intelligence, data-driven arbitration professional selection, and business development services.

What Makes Jus Mundi the Place to Be 🌟

• 🧬 Our Values: With core values as Friendly, Committed, Explorative, and Excelsior, we cultivate a dynamic environment that encourages collaboration, innovation, and continuous growth.
• 🌐 Proven Product Market Fit: Jus Mundi has secured product-market fit in global markets since launch, partnering with top-tier law firms, government bodies, and major corporations, including: ****Freshfields, Quinn Emanuel, Wong Partnership, Total Energies, Canada, UK, and Japan.
• 💸 Strategic Investment: We recently raised over $20 million in Series B funding from prominent strategic international investors, including Acton Capital, True Global Ventures, C4 Ventures, and FJ Labs, fueling our growth and innovation.
• 🤖 Legal Meets Tech: Our engineers and former lawyers collaborate closely with large language models (LLMs) to pioneer the future of generative AI and reshape professional services.
• 🌟 Exceptional Team: Work with talented professionals from industry leaders, including engineers, legal experts, and AI specialists from companies like Google and Amazon who are pushing the boundaries of legal tech.