Forbes Advisor Recruitment 2026

Forbes Advisor

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1 day ago

Key Responsibilities

  • As an Associate Software Engineer, you will support the Lead Innovation Engineer in building, maintaining, and evolving Forbes Advisor’s internal platform of LLM-powered tools used daily by SEO, Content, SEM, and Editorial teams. This is a hands-on full-stack role covering Next.js frontends, FastAPI backends, and AWS cloud infrastructure.
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  • Full-Stack Development & Maintenance: Build and maintain web features using Next.js frontends and FastAPI backends. Support bug fixes, small enhancements, data validation, and tool monitoring. Write clean, testable Python and TypeScript code.
  • Data Pipelines & Automation: Build and maintain data pipelines connecting third-party APIs (such as SEMrush and ScrapingBee) to LLM workflows. Manage scheduled jobs using AWS ECS Scheduled Tasks, EventBridge, and Redis job queues.
  • AI / LLM Integration: Integrate OpenAI and Anthropic APIs into internal productivity applications. Support prompt iteration, testing, and AI evaluation (“evals”) frameworks.
  • Cloud & Infrastructure (AWS): Deploy, monitor, and troubleshoot cloud services across AWS ECS, ALB, S3, RDS, and EventBridge.
  • AI-Assisted Workflow: Leverage AI coding assistants (Cursor, Claude, Copilot) in daily software engineering workflows.
  • Full-Stack Development & Maintenance: Build and maintain web features using Next.js frontends and FastAPI backends. Support bug fixes, small enhancements, data validation, and tool monitoring. Write clean, testable Python and TypeScript code.
  • Data Pipelines & Automation: Build and maintain data pipelines connecting third-party APIs (such as SEMrush and ScrapingBee) to LLM workflows. Manage scheduled jobs using AWS ECS Scheduled Tasks, EventBridge, and Redis job queues.
  • AI / LLM Integration: Integrate OpenAI and Anthropic APIs into internal productivity applications. Support prompt iteration, testing, and AI evaluation (“evals”) frameworks.
  • Cloud & Infrastructure (AWS): Deploy, monitor, and troubleshoot cloud services across AWS ECS, ALB, S3, RDS, and EventBridge.
  • AI-Assisted Workflow: Leverage AI coding assistants (Cursor, Claude, Copilot) in daily software engineering workflows.

Skills & Eligibility

  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (B.E / B.Tech / B.Sc / BCA).
  • Experience: 1.5+ years of professional software development experience.
  • Solid foundation in Python; exposure to web frameworks like FastAPI, Flask, or Django.
  • Working knowledge of JavaScript/TypeScript with hands-on experience in React or Next.js.
  • Understanding of SQL and relational database management systems (RDBMS).
  • Knowledge of REST APIs and asynchronous programming principles.
  • Comfortable utilizing AI coding assistants (Cursor, GitHub Copilot, Claude).
  • Working knowledge of Git/GitHub (branching, pull requests, code reviews) and CI/CD pipelines.
  • Prior experience with OpenAI or Anthropic API integrations.
  • Basic familiarity with AWS services or public cloud platforms.
  • Exposure to Redis, background job queues (Celery, RQ), AI agents, or web scraping data pipelines.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (B.E / B.Tech / B.Sc / BCA).
  • Experience: 1.5+ years of professional software development experience.
  • Solid foundation in Python; exposure to web frameworks like FastAPI, Flask, or Django.
  • Working knowledge of JavaScript/TypeScript with hands-on experience in React or Next.js.
  • Understanding of SQL and relational database management systems (RDBMS).
  • Knowledge of REST APIs and asynchronous programming principles.
  • Comfortable utilizing AI coding assistants (Cursor, GitHub Copilot, Claude).
  • Working knowledge of Git/GitHub (branching, pull requests, code reviews) and CI/CD pipelines.
  • Prior experience with OpenAI or Anthropic API integrations.
  • Basic familiarity with AWS services or public cloud platforms.
  • Exposure to Redis, background job queues (Celery, RQ), AI agents, or web scraping data pipelines.
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