We are looking for a Senior Director of Engineering – Full Stack / Backend Engineering to help drive the development of an AI-powered regulatory intelligence platform focused on life sciences and healthcare compliance. This role is ideal for a highly technical engineering leader who thrives on solving complex backend and AI-driven challenges while contributing to scalable SaaS platform development.
You will play a critical role in building and evolving core platform capabilities, including AI-powered document analysis, intelligent retrieval systems, data pipelines, and cloud-native infrastructure. Working closely with leadership, product, and regulatory operations teams, you will help translate strategic vision into robust, production-grade software solutions that support high-impact compliance workflows.
The role combines hands-on engineering with growing technical leadership responsibilities, offering the opportunity to shape platform architecture, mentor engineers, and contribute directly to the evolution of advanced AI systems in a regulated industry environment.
Key Responsibilities
Design, build, and optimize scalable backend services and platform infrastructure
Own critical platform components including document ingestion pipelines, search and retrieval systems, APIs, and data models
Develop and maintain AI-powered features such as RAG pipelines, LLM-driven analysis, entity extraction, summarization, and intelligent retrieval systems
Integrate and evaluate modern AI technologies, vector databases, embedding pipelines, and orchestration frameworks
Improve AI output quality, retrieval relevance, and system reliability in high-stakes regulatory environments
Contribute to architectural decisions, system scalability, and engineering best practices
Write clean, maintainable, and well-tested code while maintaining high code quality standards through reviews and technical guidance
Collaborate closely with product, design, and domain teams to refine technical requirements and solution approaches
Mentor and support engineers through technical leadership, code reviews, and knowledge sharing
Participate in hiring, technical evaluations, and engineering process improvements
Support cloud-native deployments, CI/CD pipelines, containerized environments, and infrastructure automation
What Makes You a Great Fit
7–11 years of software engineering experience with strong exposure to SaaS platform development
Strong expertise in Python for backend systems, AI integrations, and data pipelines
Hands-on experience building LLM-powered applications, RAG architectures, and AI-driven retrieval systems
Experience working with vector databases, embedding workflows, and modern LLM APIs
Strong understanding of cloud infrastructure, preferably AWS, along with Docker, Kubernetes, and CI/CD practices
Experience designing scalable REST or GraphQL APIs
Familiarity with React or modern frontend technologies is a plus
Strong problem-solving mindset with the ability to work in complex, evolving environments
Excellent communication and collaboration skills across technical and non-technical stakeholders
Ability to operate with ownership, initiative, and a long-term platform mindset
Exposure to healthcare, regulatory, or other highly regulated environments is highly valuable
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