Senior AI-Driven Full-Stack Engineer (Remote)

7Seventy

United States

Hybrid

USD 170,000 - 300,000

Full time

14 days+

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Benefits offered by this job

Medical coverage
Dental and vision
401(k) plan
HSA
FSA options
Lender partner loan program
Remote-first work environment
Flexible paid time off

Job summary

7Seventy is hiring a Senior Software Engineer - Full Stack to build AI-native software that automates mortgage workflows. You will own initiatives from architecture to production, impacting both frontend and backend systems.

Responsibilities include designing multi-step AI agents, integrating third-party APIs, implementing scalable data models, and ensuring reliability and security in a high-throughput AWS-based platform. You will mentor engineers and collaborate across teams.

Qualifications

  • Experience architecting and delivering complex full-stack web application features from design through deployment.
  • Strong TypeScript experience across frontend and backend systems.
  • Experience building modern frontend applications with React.
  • Experience developing backend services with Node.js, Express, GraphQL, and Apollo.
  • Experience designing and integrating third-party APIs.
  • Experience building scalable relational database schemas and optimizing complex data access patterns.
  • Experience with PostgreSQL or comparable relational database technologies.
  • Experience building and scaling distributed systems in cloud environments.
  • Experience with AWS infrastructure and containerized applications.
  • Experience with infrastructure-as-code tools such as Terraform or CloudFormation.
  • Strong understanding of system reliability, observability, security, and maintainability.
  • Ability to build readable, maintainable software architecture for enterprise use cases.
  • Product-oriented mindset with the ability to consider user experience and business outcomes.
  • Interest in mentoring less experienced engineers.

Responsibilities

  • Architect, build, and launch complex, multi-step AI agents that automate operational workflows.
  • Develop reliable AI-driven systems using evaluation frameworks, experiment design, dataset curation, and other modern AI product development practices.
  • Design and develop full-stack web application features from initial product design through deployment.
  • Build responsive frontend experiences using React and TypeScript.
  • Develop scalable backend services using Node.js, Express, TypeScript, GraphQL, and Apollo.
  • Share strongly typed TypeScript code across frontend, backend, and other packages within a monorepo.
  • Create readable, maintainable, and effective architecture patterns that support enterprise customers.
  • Integrate with third-party lending service APIs for document generation, disclosures, automated underwriting, fraud prevention, and related workflows.
  • Design and scale complex PostgreSQL schemas containing large volumes of detailed loan data.
  • Develop performant approaches for storing, retrieving, and updating complex relational data.
  • Use generated TypeScript types from PostgreSQL and GraphQL schemas to maintain end-to-end type safety.
  • Architect, build, and launch cloud-based job processing infrastructure on AWS.
  • Improve backend observability, reliability, scalability, and operational efficiency.
  • Build and operate distributed systems using AWS services including ECS, RDS, ElastiCache, Kafka, and Elasticsearch.
  • Manage infrastructure as code using Terraform.
  • Support automated deployment of temporary staging environments for pull requests.
  • Apply an SRE-oriented mindset to create infrastructure that is reliable, observable, and requires minimal maintenance.
  • Use production-like test data and automated end-to-end, integration, and performance testing utilities.
  • Maintain a strong focus on application security and the protection of sensitive personal data.
  • Balance engineering speed with reliability, maintainability, and high system availability.
  • Contribute product ideas and consider the broader user and business impact of technical decisions.
  • Lead mission-critical engineering projects and contribute to technical direction.
  • Collaborate across product and engineering functions to deliver scalable, user-focused solutions.
  • Mentor less experienced engineers in technical and professional skills.
  • Communicate openly about technical decisions, challenges, outcomes, and lessons learned.

Skills

TypeScript
React
Node.js
GraphQL
AWS
Observability
Security

Tools

Terraform
Docker
PostgreSQL
Kafka
Elasticsearch

Job description

Salary Range: $170,000-$300,000 per year

Compensation Note: Final compensation depends on the candidate’s location and the level at which they are hired.

About the Role

This opportunity is for a Senior Software Engineer - Full Stack to build and scale AI-native software that automates complex mortgage workflows. The role combines full-stack product development, distributed systems, infrastructure, data architecture, third-party integrations, and mission-critical AI agents.

You will own complex initiatives from architecture through production deployment, contribute across frontend and backend systems, and help improve the reliability, observability, security, and scalability of a high-throughput cloud platform.

What You’ll Do

AI Product Development

  • Architect, build, and launch complex, multi-step AI agents that automate operational workflows.
  • Develop reliable AI-driven systems using evaluation frameworks, experiment design, dataset curation, and other modern AI product development practices.
  • Design and develop full-stack web application features from initial product design through deployment.
  • Build responsive frontend experiences using React and TypeScript.
  • Develop scalable backend services using Node.js, Express, TypeScript, GraphQL, and Apollo.
  • Share strongly typed TypeScript code across frontend, backend, and other packages within a monorepo.
  • Create readable, maintainable, and effective architecture patterns that support enterprise customers.

Integrations and Data Systems

  • Integrate with third-party lending service APIs for document generation, disclosures, automated underwriting, fraud prevention, and related workflows.
  • Design and scale complex PostgreSQL schemas containing large volumes of detailed loan data.
  • Develop performant approaches for storing, retrieving, and updating complex relational data.
  • Use generated TypeScript types from PostgreSQL and GraphQL schemas to maintain end-to-end type safety.

Cloud Infrastructure and Reliability

  • Architect, build, and launch cloud-based job processing infrastructure on AWS.
  • Improve backend observability, reliability, scalability, and operational efficiency.
  • Build and operate distributed systems using AWS services including ECS, RDS, ElastiCache, Kafka, and Elasticsearch.
  • Manage infrastructure as code using Terraform.
  • Support automated deployment of temporary staging environments for pull requests.
  • Apply an SRE-oriented mindset to create infrastructure that is reliable, observable, and requires minimal maintenance.

Testing, Security, and Quality

  • Use production-like test data and automated end-to-end, integration, and performance testing utilities.
  • Maintain a strong focus on application security and the protection of sensitive personal data.
  • Balance engineering speed with reliability, maintainability, and high system availability.
  • Contribute product ideas and consider the broader user and business impact of technical decisions.

Leadership and Collaboration

  • Lead mission-critical engineering projects and contribute to technical direction.
  • Collaborate across product and engineering functions to deliver scalable, user-focused solutions.
  • Mentor less experienced engineers in technical and professional skills.
  • Communicate openly about technical decisions, challenges, outcomes, and lessons learned.
  • Languages: TypeScript
  • Frontend: React
  • APIs: GraphQL, Apollo, third-party service integrations
  • Infrastructure: AWS, Docker, Terraform
  • AWS Services: ECS, RDS, ElastiCache, Kafka, Elasticsearch, and related services
  • Testing: End-to-end, integration, and performance testing
Qualifications
  • Experience architecting and delivering complex full-stack web application features from design through deployment.
  • Strong TypeScript experience across frontend and backend systems.
  • Experience building modern frontend applications with React.
  • Experience developing backend services with Node.js, Express, GraphQL, and Apollo.
  • Experience designing and integrating third-party APIs.
  • Experience building scalable relational database schemas and optimizing complex data access patterns.
  • Experience with PostgreSQL or comparable relational database technologies.
  • Experience building and scaling distributed systems in cloud environments.
  • Experience with AWS infrastructure and containerized applications.
  • Experience with infrastructure-as-code tools such as Terraform or CloudFormation.
  • Strong understanding of system reliability, observability, security, and maintainability.
  • Ability to build readable, maintainable software architecture for enterprise use cases.
  • Product-oriented mindset with the ability to consider user experience and business outcomes.
  • Interest in mentoring less experienced engineers.
Preferred Experience
  • Familiarity with modern AI product development lifecycles, including evaluations, experiment design, and dataset curation.
  • Experience building reliable, multi-step AI agents or other LLM-powered systems.
  • Experience scaling high-throughput distributed systems.
  • Strong security awareness when working with sensitive personal or financial data.
  • SRE-oriented experience building highly observable and low-maintenance infrastructure.
  • Medical coverage with 100% of employee and family premiums covered
  • Dental and vision coverage
  • 401(k) plan
  • HSA and FSA options
  • Access to a lender partner employee loan program
  • Remote-first work environment
  • Flexible paid time off

Recruitment notice: all communication only happens from authorized email addresses ending in@7seventy.net. We never ask for payments or sensitive documents. Suspect a scam? Email report@7seventy.net

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