Software Engineer( Full Stack / AI )

teamstead; Imus; Remote; PHP 5,678,000 - 9,464,000; Full time

Job summary

teamstead is hiring a Software Engineer (Full Stack / AI) for a fully remote role with international candidates. You will design, build, and deploy production-grade web apps using Python, React, and TypeScript, integrating AI workflows and LLMs such as Claude.

You’ll work with US-based leadership to deliver secure, scalable healthcare-oriented software. The ideal candidate has 4+ years in production web development, strong PostgreSQL and REST API experience, and comfort with cloud deployments on

Qualifications

• 4+ years of professional software engineering experience in production web apps.
• Proficient in Python, TypeScript and React.
• Experience building REST APIs and backend services.
• Strong PostgreSQL/SQL skills and data migration experience.
• Experience integrating LLM APIs (Claude, OpenAI or similar).
• Experience with AI-assisted coding tools and cloud infra (AWS).
• Excellent written and spoken English; able to collaborate with US teams.
• Willingness to work Pacific Time overlap.

Responsibilities

• Design, develop, and maintain scalable web apps using Python, React, and TS.
• Build and maintain APIs, backend services, and frontend interfaces.
• Develop and optimize PostgreSQL databases, including schema design and migrations.
• Implement secure multi-tenant architecture with RBAC and data protection.
• Deploy, monitor, and maintain apps on AWS; write tests and docs.
• Collaborate with US-based teams to translate requirements into software.

Skills

Python

TypeScript

React

REST APIs

PostgreSQL

AWS

LLMs integration

OAuth / IAM

CI/CD

English communication

Tools

FastAPI

SQLAlchemy

Terraform

AWS CDK

Claude API

GitHub Copilot

Job description

Software Engineer (Full Stack / AI)

Full-Time | 100% Remote | International Candidates Welcome | U.S. Pacific Time

About the Role

We are seeking an experienced Full Stack Software Engineer to join a fast-growing, U.S.-based health technology company developing AI-powered solutions for healthcare and behavioral health operations.

This is a fully remote position working directly with U.S.-based engineering and operations leadership. The ideal candidate is an independent developer who can build production-ready applications, integrate AI capabilities, and contribute to a rapidly evolving software platform.

The company is an early-stage, venture-backed startup with an established product, active users, and experienced leadership.

Key Responsibilities

Full Stack Development

• Design, develop, and maintain scalable web applications using Python, React, and TypeScript.
• Build and maintain APIs, backend services, and frontend interfaces.
• Develop and optimize PostgreSQL databases, including schema design, queries, and migrations.
• Build and maintain secure multi-tenant application architecture.

AI Development & Integration

• Integrate large language models (LLMs), particularly Claude, into production applications.
• Develop AI-powered workflows, document processing, structured data extraction, and background automation.
• Implement prompt engineering, AI evaluations, and performance optimization.
• Use AI-assisted coding tools to improve development efficiency.

Security & Data Management

• Implement secure authentication, authorization, and role-based access controls.
• Develop row-level security, audit logging, and data protection measures.
• Follow best practices for handling sensitive healthcare information.
• Support HIPAA-aligned application development and security practices.

Deployment & Quality Assurance

• Deploy, monitor, and maintain applications using AWS.
• Write automated tests, conduct code reviews, and maintain technical documentation.
• Troubleshoot production issues and optimize application performance.
• Collaborate with U.S.-based engineering and operations teams to translate business requirements into working software.
• Deliver reliable product improvements on a continuous basis.

Required Qualifications

• 4+ years of professional software engineering experience, including production web applications.
• Strong proficiency in Python, TypeScript, and React.
• Experience developing REST APIs and backend services.
• Strong knowledge of PostgreSQL, SQL, relational database design, and migrations.
• Experience implementing authentication, authorization, and secure application architecture.
• Hands-on experience integrating LLM APIs, including Claude, OpenAI, or similar platforms.
• Experience using AI coding assistants such as Claude Code, Cursor, or GitHub Copilot.
• Familiarity with AWS cloud infrastructure and deployment processes.
• Strong problem-solving skills and ability to work independently.
• Excellent written and spoken English communication skills.
• Ability to collaborate effectively with U.S.-based teams during Pacific Time business hours.

Preferred Qualifications

• Previous experience developing healthcare technology or HIPAA-compliant applications.
• Experience with FastAPI and SQLAlchemy.
• Knowledge of AWS infrastructure as code, including Terraform or AWS CDK.
• Experience working in an early-stage startup or fast-paced product environment.
• Experience deploying AI-powered features into production environments.
• Familiarity with prompt engineering, LLM evaluations, latency optimization, and API cost management.
• Experience with document extraction, OCR, and automated data processing pipelines.

Work Arrangement

• Employment Type: Full-Time
• Location: 100% Remote - International Candidates Welcome
• Schedule: 40 hours per week
• Working Hours: U.S. Pacific Time (Los Angeles), with preference for candidates who can work during U.S. West Coast business hours or maintain significant overlap.
• Reporting To: U.S.-based Engineering and Operations Leadership

Ideal Candidate

We are looking for a mid-to-senior-level engineer who is comfortable owning projects from initial development through production deployment.

The successful candidate will combine strong technical expertise with practical problem-solving, attention to security, and the ability to work efficiently in a small, fast-moving engineering team.

Experience building real-world AI applications, rather than simply experimenting with AI tools, is particularly valuable.