Director of Engineering

Mulberri is an AI-native InsurTech startup reimagining how commercial insurance is processed, assessed, and managed. We use AI, large language models (LLMs), and agentic workflows to solve complex, real-world challenges for brokers, insurers, and businesses. We are looking for a Director of Engineering who can combine strategic thinking with a strong builder mindset.

This is an opportunity to shape the technology direction of a fast-growing startup, build high-performing teams, and bring enterprise-grade AI solutions from concept to production. You will: Lead and scale engineering teams across backend, frontend, cloud, data, and AI. Define the engineering vision, technical strategy, architecture, and execution roadmap.

Own the delivery of secure, scalable, reliable, and high-performing enterprise solutions. Drive the development of AI-powered applications, intelligent document-processing systems, and agentic workflows. Guide the production implementation of LLMs, RAG, prompt engineering, tool calling, evaluation frameworks, guardrails, and human-in-the-loop systems.

Establish strong engineering practices across architecture, code quality, testing, security, DevOps, MLOps/LLMOps, and observability. Work closely with U.S.-based clients, stakeholders, and internal teams to translate business challenges into practical technology solutions. Take ownership of end-to-end delivery—from planning and execution to quality, release, and production support.

Build, mentor, and inspire a high-performing team of engineering managers, architects, AI engineers, and software engineers. Create a culture of ownership, speed, experimentation, continuous learning, and engineering excellence. Evaluate emerging technologies, AI models, frameworks, and platforms to identify opportunities for innovation.

Partner with product and business teams to ensure engineering investments deliver measurable customer and business value.

Requirements

13+ years of software engineering experience, including significant experience in engineering leadership and delivery management. Proven experience building and leading full-stack engineering teams. Demonstrated experience delivering production-grade AI, machine learning, or Generative AI applications. Strong understanding of LLM architectures, agentic workflows, RAG, prompt engineering, model evaluation, AI guardrails, and human-in-the-loop systems.

Experience integrating commercial or open-source AI models into enterprise applications. Understanding of AI risks and challenges, including hallucinations, data privacy, security, explainability, model performance, and operational costs. Strong track record of delivering complex, multi-team, and multi-region technology programmes.

Experience working directly with U.S.-based clients, stakeholders, or delivery teams. Strong knowledge of modern technologies such as Java, .NET, Python, React, Angular, AWS, Azure, or GCP. Strong understanding of distributed systems, microservices, API architecture, cloud-native development, DevOps, and CI/CD. Familiarity with vector databases, embeddings, AI observability, model monitoring, and MLOps/LLMOps.

Excellent communication, stakeholder management, problem-solving, and leadership skills. Experience in insurance, InsurTech, financial services, or another regulated industry is a strong advantage. Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.

Benefits

Company-sponsored meals and a fully stocked pantry. Health insurance coverage. One-time reimbursement for office equipment. Annual gym membership. Company-sponsored offsites. Competitive compensation package.