Senior Full-stack Engineer

Project Overview We are seeking an experienced Senior Full-Stack Engineer to support the design, development, and integration of a secure, scalable, AI-enabled software platform. The ideal consultant will have strong hands-on experience in Python, FastAPI, JavaScript/TypeScript, modern frontend frameworks, and cloud-based application development, along with practical experience integrating AI/ML capabilities into enterprise applications. This role requires someone who can work independently, make sound architectural decisions, and deliver production-quality solutions in complex or regulated environments. Key Responsibilities Design, develop, and maintain scalable full-stack applications using Python, FastAPI, React (or similar frameworks), and REST APIs. Integrate AI/ML models, intelligent automation, AI agents, and predictive analytics into software applications. Develop and manage secure APIs, third-party integrations, and data pipelines. Implement relational, graph, and vector database solutions, including Neo4j, semantic search, and retrieval-augmented generation (RAG). Build secure, reliable cloud-based applications using AWS, Azure, or GCP. Implement authentication, role-based access controls, encryption, audit logging, and application security best practices. Develop automated testing, CI/CD pipelines, containerized deployments, and system monitoring capabilities. Collaborate with technical and business stakeholders to translate requirements into functional, production-ready solutions. Lead technical troubleshooting, code reviews, architecture documentation, and ongoing application improvements. Required Qualifications 7+ years of professional full-stack software engineering experience. Advanced proficiency in Python, FastAPI, JavaScript/TypeScript, and React, Angular, or Vue.js. Strong experience designing REST APIs, backend services, and enterprise application integrations. Hands-on experience integrating AI/ML models, LLMs, or intelligent automation. Experience with SQL databases and familiarity with graph or vector databases. Proficiency with Docker, Git, CI/CD pipelines, and cloud deployments. Strong understanding of application security, data protection, and scalable system architecture. Experience developing applications for healthcare, government, regulated industries, or other mission-critical environments. Ability to independently manage technical deliverables from development through deployment. Preferred Qualifications Experience with Neo4j, knowledge graphs, vector databases, embeddings, and RAG. Familiarity with healthcare systems, EHR/EMR integration, HL7 FHIR, or clinical data interoperability. Experience with AI agents, MLOps, model monitoring, and AI governance. Familiarity with PyTorch, TensorFlow, scikit-learn, or similar AI/ML frameworks. Experience developing SaaS platforms, microservices, or event-driven architectures. Knowledge of HIPAA, NIST, or other security and regulatory frameworks. Experience taking early-stage software solutions from prototype to production. Ideal Candidate We're looking for a hands-on senior engineer who combines strong software development expertise with practical AI integration experience. You should be comfortable working independently, solving complex technical challenges, and contributing to both architecture and implementation.