Associate Software Engineer

We're hiring an Associate Innovation Engineer to support our Lead Innovation Engineer in building, maintaining, and evolving our internal platform of LLM-powered tools, used daily by SEO, Content, SEM, and Editorial teams. This is a hands-on full-stack role. You'll work across Next.js frontends, FastAPI backends, and AWS infrastructure, while getting direct exposure to production AI systems: content extraction pipelines, prompt engineering, web scraping, and data integrations. This is a strong fit for someone early in their career who wants real-world experience shipping and maintaining LLM applications in production.

Key Responsibilities

Full-Stack Development & Maintenance

• Build and maintain features across our Next.js frontends and FastAPI backends.
• Support the ongoing maintenance of our production tool suite — bug fixes, small enhancements, data validation, and monitoring.
• Write clean, testable Python and TypeScript code.

Data Pipelines & Automation

• Build and maintain pipelines connecting third-party APIs (SEMrush, ScrapingBee, and similar) to our LLM workflows.
• Set up and manage scheduled jobs using AWS ECS Scheduled Tasks, EventBridge, and Redis-based job queues.
• Support data validation and quality checks across tools.

AI/LLM Integration

• Work with OpenAI and Anthropic APIs to integrate LLM functionality into tools.
• Support prompt iteration and testing under the team's guidance.
• Build familiarity with AI evaluation ("evals") concepts as the team develops these further.

Cloud & Infrastructure (AWS)

• Get hands-on with AWS services used in our stack: ECS, ALB, S3, RDS, EventBridge.
• Support deployment, monitoring, and troubleshooting of services running in ECS.

Tooling & Ways of Working

• Use AI-assisted development tools (Cursor, Claude, Copilot, etc.) as part of the daily workflow.
• Collaborate closely with the Lead Innovation Engineer and, at times, with stakeholders from other teams (SEO, Content, etc.) to understand requirements.

Qualifications

Education

• Bachelor's degree in Computer Science, Engineering, or a related field.

Must-Have Technical Skills

• 1.5+ years of professional experience.
• Solid foundation in Python; some exposure to FastAPI or a similar framework (Flask/Django) is a plus.
• Working knowledge of JavaScript/TypeScript; exposure to React/Next.js.
• Basic understanding of SQL and relational databases.
• Basic understanding of REST APIs and asynchronous programming concepts.
• Comfortable using AI coding assistants (Cursor, Copilot, Claude, etc.) as part of daily development.
• Working knowledge of Git/GitHub (branching, PRs, code reviews) and a basic understanding of CI/CD pipelines.

Good to Have (not required, but a plus)

• Any prior exposure to OpenAI/Anthropic APIs.
• Basic familiarity with AWS (any service) or any cloud provider.
• Exposure to Redis or job queuing/background task concepts (e.g., RQ, Celery, or similar).
• Some exposure to AI agents or agentic workflows.
• Exposure to web scraping, data pipelines, or automation.