Senior Software engineer

Duration: 6+ months (contract-to-hire) | Location: Atlanta, GA 30312 (Hybrid)

About the Role

We are looking for a pragmatic, high-output Senior Engineer to help revolutionize our technology ecosystem. You will build intelligent systems that serve thousands of internal users, removing manual friction through agentic workflows and high-level AI orchestration.

Responsibilities

• Architect, build, and scale end-to-end applications, taking ownership of major platform features to ensure they are performant, scalable, and resilient.
• Develop responsive, highly interactive, and accessible user interfaces, managing complex global state and optimizing frontend performance.
• Design and implement robust RESTful and GraphQL APIs, architecting microservices or modular monoliths to handle high-throughput enterprise traffic.
• Design and maintain automated CI/CD pipelines, enforcing strict automated testing, containerization, and deployment strategies (Blue/Green, Canary) to ensure AI-assisted code is safely tested and deployed.
• Integrate LLMs into our platform using Amazon Bedrock or Vertex, building highly secure RAG pipelines, managing vector databases, and implementing AI features that drive user value.
• Utilize AI-assisted engineering tools (e.g., Cursor, GitHub Copilot) to accelerate boilerplate generation while focusing on platform architecture, code review, and system design.
• Design and implement complex AI agentic workflows leveraging multi-step reasoning, tool-use integration, and autonomous decision-making to streamline internal business processes.

Requirements

• 5+ years of full-stack engineering experience, with a demonstrated history of building and scaling comprehensive web applications or SaaS platforms.
• Quality and architecture focus: view AI as an accelerator, not a replacement for good design, with the ability to rigorously review and refactor code for maintainability and technical debt prevention.
• DevOps mindset: experience deploying, monitoring, and maintaining code in a cloud-native environment.

Skills

• Frontend: TypeScript, React, Next.js, and modern CSS frameworks (e.g., Tailwind CSS).
• Backend: Node.js (Express/NestJS) and/or Python (FastAPI/Django).
• Databases: Relational databases (PostgreSQL/AWS Aurora) and Vector Data Stores (Amazon OpenSearch Serverless, pgvector, or Pinecone).
• Cloud Infrastructure (AWS or GCP): Deep familiarity with AWS services (Lambda, ECS/EKS, S3, API Gateway, DynamoDB) and GCP services (Cloud Functions, GKE, Cloud Storage, Cloud Pub/Sub), plus Infrastructure as Code (Terraform or AWS CDK/GCP Deployment Manager).
• AI & Orchestration: Amazon Bedrock (interacting with Foundation Models like Claude or Llama), Google Vertex AI, LangChain/LlamaIndex, and RAG architectures.
• DevOps & CI/CD: Docker, GitLab CI, and observability tools (Datadog, AWS CloudWatch, Google Cloud Monitoring, Google Cloud Logging).
• Testing: Automated testing frameworks across the stack (Jest, PyTest, Playwright, or Cypress).
• Developer Tools: Advanced proficiency with AI coding assistants (Cursor, GitLab Duo, Claude Code).

Nice to Have

• Experience establishing developer platforms or internal tooling to improve team velocity.
• Background in advanced cloud security and IAM role management.
• AWS Certifications (e.g., AWS Certified Developer, DevOps Engineer, or Machine Learning Specialty).