Engineering Manager

About AI71:

AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology—tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.

The Role:

We’re looking for a technically strong and solution-oriented Engineering Manager to lead the design, development, and delivery of secure, scalable, and high-performing digital platforms. This leadership role combines deep technical expertise across frontend and backend domains, a strong grounding in agile delivery, and a track record of building innovative, AI-enabled solutions. You will shape architecture, elevate engineering practices, and grow a high-performing team capable of delivering across the entire stack—end to end.  

What You'll Do:

• Technical & Architectural Leadership 
• Define and drive architecture decisions across both frontend and backend systems, leveraging microservices, micro frontends, and component-based design.
• Architect and maintain cloud-agnostic solutions capable of running on AWS, GCP, or Azure—ensuring portability, fault tolerance, and vendor flexibility. 
• Ensure robust integration patterns, state management, and contract-first APIs that enable modular development and scale.
• Full Stack Execution & Optimization
• Lead complex feature development and system modernization using technologies like React, TypeScript, Node.js, Python, Go, GraphQL, and RESTful APIs. 
• Champion performance optimization, including latency reduction, smart caching, async processing, and responsive, AI-enhanced UI rendering.
• Enforce secure coding practices, mitigate OWASP vulnerabilities, and ensure data protection throughout the application lifecycle.
• Agile Delivery & Iterative Execution 
• Lead engineering planning, sprint execution, and iterative releases aligned with Agile, Scrum, or Kanban practices. 
• Own the full delivery pipeline—from backlog grooming and estimation to UAT, deployment, and post-release tracking. 
• Drive continuous delivery, automated testing, and incremental value delivery through cross-functional coordination.
• AI-Driven Product Integration 
• Collaborate with AI/ML teams to deliver intelligent UI elements, LLM-integrated AI use cases, and dynamic backend services for personalized and automated experiences. 
• Optimize data handling and model interfacing across the stack to ensure explainability, reliability, and responsiveness in AI features.
• Security, Compliance & Observability 
• Embed data security, role-based access control (RBAC), encryption, and compliance readiness (e.g., GDPR, SOC2) into the stack. 
• Ensure frontend and backend observability with proper logging, metrics, tracing, and alerting tools. 
• Contribute to audits and internal reviews by maintaining traceable and documented release processes.
• Team Leadership & Engineering Excellence 
• Build and lead a high-impact engineering team across full stack roles. 
• Set clear performance goals, provide career growth opportunities, and foster a culture of accountability, collaboration, and innovation. 
• Guide the team in following clean code principles, TDD/BDD, version control best practices, and modular, testable design.
• Cross-Functional Collaboration 
• Work closely with product managers, designers, DevOps, QA, security, and data teams to drive seamless feature delivery and user impact.
• Facilitate cross-team initiatives, architectural alignments, and knowledge sharing across squads.

What You'll Bring:

• Bachelor’s degree in Computer Science, Engineering, or a related field. 
• 10+ years of experience in software engineering, including 2+ years in a technical leadership or management role. 
• Strong expertise in modern frontend frameworks (React, Angular, Vue) and backend stacks (Node.js, Python, Java, Go). 
• Experience with microservices, event-driven systems, containerization (Docker, Kubernetes), and cloud-agnostic architectures. 
• Deep understanding of secure coding, performance optimization, and enterprise-grade system design. 
• Practical experience with Agile methodologies, sprint planning, iterative releases, and CI/CD pipelines. 
• Proven ability to lead teams through technical challenges, architecture discussions, and high-pressure delivery milestones. 

Great Pluses / Preferred Experience 

• Master’s degree in Computer Science, Software Engineering, or related discipline. 
• Experience building AI-enabled products, including integration of LLMs, intelligent agents, and workflow automation. 
• Familiarity with design systems (Storybook, TailwindCSS), and observability tools like Prometheus, Grafana, ELK, Datadog. 
• Exposure to serverless, multi-tenant systems, and horizontal scaling strategies. 
• Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams. 

Why AI71:

• Mission-Driven Work: Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.
• Unparalleled Opportunity: This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.
• Career Growth: We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.
• World-Class Environment: Enjoy a flexible working environment and the latest tools & technologies needed to do your best work.