Note: The job is a remote job and is open to candidates in USA. The Phoenix Group is seeking a Lead Full Stack Engineer to develop and scale an AI-driven platform that turns complex organizational data into actionable insights. The role combines hands-on engineering and technical leadership across backend services, data architecture, APIs, and modern frontend applications.

Responsibilities

• Design, develop, and maintain end-to-end full-stack applications and services
• Build scalable data models, shared components, and REST/GraphQL APIs
• Develop secure, event-driven systems with robust access controls
• Integrate search, indexing, and AI-powered features into product workflows
• Establish frontend architecture, design systems, and reusable UI components
• Improve application performance, reliability, accessibility, and scalability
• Implement automated testing, monitoring, and CI/CD best practices
• Collaborate with cross-functional teams to deliver business-focused solutions
• Leverage AI coding tools and agents to improve development efficiency and quality
• Mentor engineers and guide technical decisions through architecture and code reviews

Skills

• 5+ years of software engineering experience in backend or full-stack development
• Strong proficiency in Python, TypeScript, and frameworks such as FastAPI, Django, React, Vue, or Angular
• Experience building production applications, APIs, and scalable service-oriented architectures
• Strong knowledge of relational and non-relational databases, data modeling, and complex entity relationships
• Experience with event-driven systems, asynchronous processing, and messaging platforms
• Understanding of RBAC/ABAC, multi-tenant architectures, and application security
• Familiarity with search technologies, Elasticsearch, vector databases, and AI/ML integrations
• Experience with AWS or other cloud platforms, CI/CD, automated testing, and observability
• Knowledge of AI applications, including RAG, semantic search, copilots, and recommendation systems
• Proficiency with AI coding assistants and agents, including reviewing generated code and coordinating agent-based workflows
• Strong problem-solving, systems design, and architectural skills
• Product-focused mindset with an emphasis on quality and business outcomes
• Excellent communication and cross-functional collaboration abilities
• Ability to take ownership, work independently, and mentor other engineers
• Adaptability and enthusiasm for emerging AI technologies
• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
• Advanced degree or cloud certifications in AWS, Azure, or Google Cloud are preferred

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