Full Stack Engineer

Saltu Staffing; Texas (NJ); Remote; USD 120,000 - 150,000; Full time

Job summary

A leading company is seeking a Senior Full Stack Engineer to work on AI-driven workflows and enterprise solutions. This fully remote role involves designing scalable systems, integrating AI/ML tools, and collaborating with a cross-functional team. Ideal candidates will have extensive experience in full-stack development and a passion for innovative technologies.

Benefits

Excellent health benefits

Unlimited PTO

Qualifications

• 7+ years developing backend services and enterprise applications at scale.
• Proven experience integrating AI tooling and automating workflows.

Responsibilities

• Design and implement full-stack features using TypeScript, Python, SQL, React, Next.js, and GraphQL.
• Build scalable backend services and APIs with a focus on performance, reliability, and security.

Skills

TypeScript

Python

SQL

React

GraphQL

Tools

AWS

Neo4j

Terraform

CloudFormation

GCP Vertex AI

Azure ML

Job description

Position Overview

We are seeking a Senior Full Stack Engineer with a strong background in building AI-driven workflows and enterprise-scale solutions. This fully remote position offers the opportunity to work on cutting-edge technologies, designing scalable systems that integrate AI/ML, workflow automation, and robust data architectures. You’ll join a collaborative, cross-functional team focused on building intelligent software products used by thousands of customers globally. This role emphasizes end-to-end development using TypeScript, Python, SQL, React, and GraphQL, with a strong emphasis on AI tooling integration.

Primary Responsibilities

• Design and implement full-stack features using TypeScript, Python, SQL, React, Next.js, and GraphQL
• Build scalable backend services and APIs with a focus on performance, reliability, and security
• Integrate AI/ML tools to automate development workflows (e.g., code generation, testing, deployment)
• Lead development of workflow automations including CI/CD pipeline enhancements and real-time monitoring
• Drive API strategy, including internal and external integrations, versioning, and governance best practices
• Collaborate closely with product managers and designers to convert product requirements into technical solutions
• Mentor mid- and junior-level engineers in software design, AI tooling, and development best practices
• Champion test-driven development and own testing strategies (unit, integration, E2E)
• Implement observability through logging, metrics, and tracing to ensure uptime and reliability

Qualifications & Skills

• Experience:
• 7+ years developing backend services and enterprise applications at scale
• Proven experience integrating AI tooling and automating workflows within engineering teams
• Languages & Frameworks: TypeScript, Python, SQL, React, Next.js, GraphQL
• API Integration: REST, Server-Sent Events
• Architecture: Microservices, Serverless, AWS, Neo4j, SQL
• Tooling: Proficient in using AI coding assistants (e.g., Cline, Cursor) in test-driven environments
• Strong knowledge of software design patterns and SOLID principles
• Experience with CI/CD pipelines, git workflows, and secure coding standards
• Deep understanding of performance optimization and scalability
• Experience with cloud AI/ML services (AWS SageMaker, GCP Vertex AI, Azure ML)
• Familiarity with vector databases and retrieval-augmented generation (RAG)
• Background in data-intensive systems (analytics platforms, BI tools, dashboards)
• Exposure to Infrastructure as Code (Terraform, CloudFormation)
• Experience with job scheduling, MCP server tooling, and Cloudflare integration

Why Join Us?

• Innovative Environment: Work on AI-first enterprise solutions
• Growth & Impact: Shape products impacting thousands of customers globally
• Collaborative Culture: Join a passionate team that values autonomy, mentorship, and continuous learning
• Well-being Focus: Excellent health benefits and unlimited PTO

Interview Process: There is a two-step interview process involving a technical deep dive with the Engineering Lead followed by a cultural and strategic alignment session with a Product or Executive team member.