Software Engineer (Backend AI)

TL;DR

Software Engineer (Backend AI): Designing and implementing cloud infrastructure and developing serverless APIs in Python FastAPI for an AI-powered, low-code application generator with an accent on AWS infrastructure design, API development, and database optimization. Focus on building production-ready services, ensuring scalability, security, and reliability in a hybrid work environment in Charlotte, NC.

Location: Hybrid, Charlotte, NC. Candidates must be willing to work on our W2 ONLY.

Company

hirify.global (S3) is a staffing agency providing talent for its clients.

What you will do

• Design and implement scalable, secure AWS infrastructure using Terraform.
• Develop robust, async FastAPI services for form generation, data persistence, and user management.
• Integrate backend services with AWS AI services, including Bedrock LLM.
• Design and optimize PostgreSQL database schemas, including JSONB queries.
• Participate in code reviews, architectural discussions, and troubleshoot production issues.
• Deliver modular, reusable code aligned with project standards and comprehensive documentation.

Requirements

• 5+ years of AWS experience (Lambda, API Gateway, RDS, DynamoDB, VPC, IAM).
• 3+ years of Terraform/Infrastructure-as-Code expertise.
• 5+ years of Python development experience, with 3+ years in FastAPI, Django, or similar async frameworks.
• Expertise in relational databases (PostgreSQL) and JSONB queries.
• Strong understanding of REST API design principles, async/await patterns, and CI/CD.
• Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience.

Nice to have

• Experience with AWS Bedrock or other LLM platforms.
• Familiarity with Azure AD/MSAL for authentication.
• Knowledge of DynamoDB and serverless architecture patterns.
• AWS Solutions Architect Associate certification or equivalent.

Culture & Benefits

• Work closely with full-stack engineers and DevOps teams.
• Focus on delivering production-ready infrastructure and backend services.
• Collaborative environment with emphasis on code reviews and architectural discussions.
• Adherence to Infrastructure-as-Code best practices, security hardening, and clean code.
• Commitment to writing and maintaining pytest test suites with 80%+ coverage.