Job Description
Are you passionate about Artificial Intelligence, Full-Stack Development, Cloud Computing, and building real-world AI-powered applications? If you're looking for an opportunity to work on cutting-edge Large Language Model (LLM) applications while collaborating with experienced engineers, this is an excellent career opportunity. Smart Financial Decisions Made Simple is hiring an Associate Software Engineer to support the Lead Innovation Engineer in designing, developing, and maintaining internal AI-powered platforms used by SEO, Content, SEM, and Editorial teams. This role provides direct exposure to production-grade AI systems, prompt engineering, cloud infrastructure, automation pipelines, and modern software engineering practices. Whether you're an early-career software engineer with around 1.5 years of experience or someone eager to build expertise in AI application development, cloud technologies, and full-stack engineering, this opportunity offers excellent learning, ownership, and long-term career growth.
Responsibilities
Develop and maintain scalable Full-Stack applications. Build modern interfaces using Next.js and React. Develop backend services using Python and FastAPI. Integrate OpenAI and Anthropic APIs into business applications. Build prompt-based AI workflows. Develop and maintain automation pipelines. Connect third-party APIs including SEMrush and ScrapingBee. Work with AWS ECS, EventBridge, ALB, S3 and RDS. Manage scheduled background jobs. Monitor production AI services. Perform debugging, testing and maintenance. Support AI evaluation and prompt optimization. Collaborate with Content, SEO and Editorial teams. Participate in code reviews. Write clean, scalable and maintainable code.
Requirements
Python FastAPI Flask Django JavaScript TypeScript React.js Next.js SQL REST APIs Async Programming Git GitHub CI/CD Pipelines AWS (ECS ALB S3 RDS EventBridge) OpenAI APIs Anthropic APIs Prompt Engineering Redis AI Coding Assistants (Cursor Copilot Claude) Data Pipelines Web Scraping Automation LLM Applications