Job Title: Software Engineer - Backend AI Engineer

Company Name: Strategic Staffing Solutions

Job Url: https://www.dice.com/job-detail/bf41128f-fba6-4383-8aa6-82d912bdd885?page=1&location=Remote%2C+OR%2C+USA&radius=30&radiusUnit=mi&q=software+engineer

Job Description: 
Strategic Staffing Solutions


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Software Engineer - Backend developer AI
Remote in Charlotte, NC, US • Posted 7 days ago • Updated 20 minutes ago
Contract W2
On-site
USD0 - USD0


Strategic Staffing Solutions
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Job Details
Skills
Software
Engineer
Backend Developer
AI
LLM
Python
Summary
STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING!



Strategic Staffing Solutions is currently looking for a Software Engineer on a W2 contract, for one of its clients!!



Candidatesshould be willing to work on our W2 ONLY.



Software Engineer- Backend AI Engineer


Location: Charlotte, NC


Schedule: Hybrid


Duration: 12 months


Role Type: W2 contract (NO C2C, No 1099)





TECHNICAL STACK



Your work will involve:



- **Language**: Python 3.12+



- **Framework**: FastAPI



- **Infrastructure**: Terraform, AWS (Lambda, API Gateway, RDS, DynamoDB, VPC, IAM)



- **Database**: PostgreSQL (RDS), DynamoDB



- **Testing**: pytest



- **CI/CD**: GitHub Actions



- **Monitoring**: CloudWatch, structured logging



- **LLM Integration**: AWS Bedrock (Claude models)





BACKEND DEVELOPER



Our client is seeking an experienced Backend Developer to accelerate the development and deployment of AppGen, our innovative AI-powered, low-code application generator. You will be responsible for designing and implementing cloud infrastructure using Terraform and developing serverless APIs in Python FastAPI that power form generation, data persistence, and enterprise-scale deployments.



This is a **full-time W2 contract position focused on delivering production-ready infrastructure and backend services in AWS.






PRIMARY RESPONSIBILITIES



Infrastructure & DevOps (Terraform)




Design and implement AWS infrastructure using Terraform, including:


Lambda functions (compute layer)


API Gateway (REST endpoints, custom authorizers)


RDS PostgreSQL and DynamoDB (data layer)


VPC, security groups, and private endpoints


S3 buckets, CloudFront, and ALB configuration


CloudWatch monitoring, logging, and alarms


Establish Infrastructure-as-Code best practices (Terraform Cloud, state management, modules)


Implement security hardening (least-privilege IAM, encryption, secret management)


Optimize infrastructure for cost, performance, and reliability


Support CI/CD pipeline for automated deployments



Backend API Development (Python FastAPI)




Develop robust, async FastAPI services for:


Form generation and validation APIs


Form submission and data persistence


User and project management endpoints


Integration with AWS services (Bedrock LLM, S3, DynamoDB, RDS)


Design and optimize database schemas (PostgreSQL, JSONB queries)


Implement comprehensive error handling, logging, and observability


Write and maintain pytest test suites with 80%+ coverage


Follow SOLID principles and clean code best practices



Collaboration & Delivery




Work closely with full-stack engineers and DevOps teams


Participate in code reviews and architectural discussions


Document infrastructure, APIs, and deployment procedures


Troubleshoot production issues and optimize performance


Deliver modular, reusable code aligned with project standards






REQUIRED QUALIFICATIONS



Infrastructure & Cloud



- **5+ years** of AWS experience (Lambda, API Gateway, RDS, DynamoDB, VPC)



- **3+ years** of Terraform/Infrastructure-as-Code expertise



- Strong understanding of AWS security, networking, and cost optimization



- Experience with API Gateway custom authorizers and VPC endpoint configuration



- Familiarity with Lambda


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.