We are looking for a versatile AI Full Stack Engineer with strong prompt engineering expertise and a business-oriented mindset to join our team. This role sits at the intersection of software engineering AI-powered development and business strategy. You will collaborate directly with business product leaders to design build and ship end-to-end web and mobile applications using cutting-edge AI development tools such as Claude Code GitHub Copilot Cursor and similar platforms.
The ideal candidate is not just a technically proficient developer but a strategic thinker who understands how technology translates into business value. You will be responsible for rapidly prototyping iterating and delivering production-grade applications that solve real business problemsleveraging AI-assisted coding to dramatically accelerate the development lifecycle.
Responsibilities
Please note that this job is only hiring candidates that live in the Metro NYC area and can commute to the office.
AI-Powered Full Stack Development
Design develop and deploy end-to-end web and mobile applications using modern frameworks (React Python/Django or similar).
Leverage AI-assisted development tools (Claude Code GitHub Copilot Cursor Windsurf etc.) to accelerate coding debugging testing and deployment workflows.
Build responsive accessible and performant user interfaces with seamless backend API integrations.
Implement cloud-native architectures on Azure AWS or GCP with CI/CD pipelines containerization and infrastructure-as-code.
Prompt Engineering & AI Integration
Craft optimize and maintain sophisticated prompts and prompt chains for large language models (LLMs) to power conversational interfaces automation workflows and intelligent features.
Integrate AI/ML capabilities into applications including natural language processing content generation data extraction and decision support systems.
Evaluate benchmark and select appropriate AI models and APIs for specific business use cases.
Develop and maintain prompt libraries templates and best practices documentation for the engineering team.
Business Collaboration & Product Delivery
Partner directly with business product leaders stakeholders and cross-functional teams to translate business requirements into technical solutions.
Participate in product discovery roadmap planning and sprint ceremonies to align engineering output with business objectives.
Communicate technical concepts clearly to non-technical stakeholders and provide data-driven recommendations on technology choices.
Rapidly prototype and iterate on concepts to validate product-market fit and user experience hypotheses.
Quality Security & Best Practices
Write clean maintainable well-documented code with comprehensive test coverage (unit integration E2E).
Implement security best practices including authentication (OAuth2 SSO) data encryption and compliance frameworks (SOC 2 GDPR HIPAA as applicable).
Conduct code reviews mentor junior developers and contribute to engineering culture and standards.
Qualifications :
Proven fullstack engineering experience delivering and maintaining productiongrade applications.
Expertise in modern frontend frameworks such as React Vue or Angular.
Strong backend development skills using Python Java or Go.
Practical experience with AIassisted development tools (e.g. GitHub Copilot Claude Code Cursor).
Handson experience integrating LLMs prompt engineering and building AIdriven product features.
Cloud proficiencyAzure preferredcovering serverless services SQL/NoSQL databases and DevOps workflows.
Deep understanding of REST APIs GraphQL microservices and eventdriven architectures.
Excellent communication skills and ability to translate business requirements into technical deliverables.
Bachelors degree in computer science or equivalent professional experience.
Preferred: background with Microsoft ecosystem (Azure AI Power Platform Copilot Studio) SaaS/B2B products data/ETL platforms mobile development security frameworks startup environments or business certifications (MBA/PM).
Excellent problem-solving skills and the ability to troubleshoot complex data pipeline issues.
Strong communication skills to collaborate effectively with cross-functional teams.
Knowledge of data privacy and security best practices.
Experience with containerization and orchestration tools like Docker and Kubernetes is a plus.
Certifications in relevant technologies (e.g. AWS Certified Data Analytics - Specialty) are advantageous.
Additional Information :
What We Offer
Afficiency is an Equal Opportunity Employer. All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Full-time
Afficiency is a rapidly growing Insurtech startup whose mission is to provide life insurance to everyone on the platforms they already trust. Located in NYC, we design life insurance products that can be purchased entirely digitally and can be easily embedded into distribution platfor ... View more