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Urgent! Senior Full-Stack Engineer - AI & Data Job Opening In New York County New York – Now Hiring SeaHill Consulting Group

Senior Full Stack Engineer AI & Data



Job description

About the Role

We're looking for a Senior Full-Stack Engineer AI and Data with an extreme ownership mentality and a proven track record of building scalable, production-grade applications from the ground up.

This is a high-impact role at the intersection of product, AI, and data infrastructure.

You'll be a key contributor in shaping our technical foundation, AI integrations, and scalable systems architecture.



If you've founded a startup or have built and scaled web applications from the ground-up this role is built for you.





What You'll Do


  • Architect, build, and maintain full-stack web applications using React, Next.js, Node.js, MongoDB, and modern cloud-native tools.


  • Build pixel-perfect, high-performance front-ends with deep attention to detail and strong design intuition.


  • Design and implement scalable data pipelines and infrastructure for real-time and batch processing.


  • Create applications with deep integration of analytics, reporting, and data-driven decision-making tools.


  • Integrate and operationalize AI APIs such as OpenAI, Anthropic, or other LLM providers into customer-facing features.


  • Own the full development lifecycle from architecture and database design to deployment, observability, and scaling.


  • Collaborate closely with cross-functional teams to rapidly iterate on AI-powered product features.


  • Mentor junior engineers and contribute to a high-ownership, high-performance culture.





What We're Looking For


  • 8+ years of full-stack engineering experience, with a proven ability to build and launch full web applications from scratch.


  • Mastery of React, Next.js, Node.js, and MongoDB.


  • Proven experience integrating and scaling AI APIs in production environments, including building complex, production-level microservices with an orchestration layer.


  • Experience deploying and scaling AI-powered features in production, with expertise in:

  • AI Red Teaming - Adversarial testing to find failure modes and vulnerabilities

  • AI Assurance - Comprehensive validation that AI systems meet safety and reliability standards

  • Model Monitoring - Continuous oversight of AI model performance and behavior in production

  • AI Quality Assurance (AI QA) - Traditional QA practices adapted for AI systems

  • AI Reliability Engineering - Ensuring AI systems are dependable and fail gracefully

  • Strong expertise in designing and maintaining data pipelines (ETL/ELT, streaming, or batch).


  • Deep mastery of AWS services, including but not limited to:

  • Lambda, EC2, S3, RDS, API Gateway, SQS, SNS, CloudWatch, IAM, VPC, and ECS with Containerization

  • DevOps experience including but not limited to:

  • Docker, Swarm, Github Actions, Creating Custom CI/CD pipelines.

    Knowledge of Kubernetes is a plus.


  • Demonstrated ability to scale applications to millions of users.


  • Strong understanding of system architecture, security, caching strategies, and performance optimization.


  • Demonstrated ability to scale applications to millions of users.


  • Bonus: You've founded a startup or been the first/early technical hire at an early-stage startup.





You'll Thrive Here If You


  • Take extreme ownership of your work and thrive in high-autonomy environments.


  • Obsess over quality, performance, and clean design in both UI and system architecture.


  • Are passionate about AI, analytics, and data-first product development.


  • Want to work with a small, global, elite team shipping high-impact features at startup speed.





Why Join Us


  • You'll be a foundational team member building transformative AI-first products.


  • Work on big technical challenges with a clear path to user and business impact.


  • Competitive compensation, meaningful equity, and a high level of autonomy.





Required Skill Profession

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