Senior Software Engineer, Mediafly

• 5+ years of software engineering experience with at least 2–3 years building SaaS products
• Fullstack development skills in Python, Node.js, and React (or similar modern frameworks)
• Experience developing with AI systems—this could include LLM integrations, AI-powered search, vector databases, RAG pipelines or even an agent-driven hobbyist project
• System design experience, with a track record of building scalable, reliable, and secure architectures
• Collaborative mindset: you communicate clearly, value feedback, and enjoy working with product, design, and infrastructure partners
• Curiosity and problem-solving: you dig into complex systems, make them better, and balance pragmatism with long-term thinking

Desirable

• We’re looking for a Senior Software Engineer with expertise in fullstack development and experience building or integrating AI-driven systems
• In this role, you'll design, build, and optimize features powered by AI, while contributing broadly to our product stack
• You'll collaborate closely with product, design, and infrastructure teams to ship high-impact capabilities and shape technical direction
• This is an individual contributor (IC) role with broad scope: you’ll influence architecture, lead through technical discovery and execution, and tackle complex engineering challenges head-on
• At Mediafly, you’ll help build the future of our multi-million ARR platform, delivering AI-driven workflows that directly impact thousands of users
• Your contributions won’t be lost in the noise; they’ll help define what’s next
• Design and integrate AI workflows into customer-facing products using agent-like architectures or orchestration frameworks (e.g., LLamaIndex, LangChain)
• Optimize LLM-powered features for performance, scalability, and cost-efficiency. This may include prompt engineering, retrieval-augmented generation (RAG), and evaluation of system quality—not necessarily model fine-tuning
• Work fullstack to build scalable, observable, and maintainable web application features
• Architect and implement APIs, databases, and cloud services to support both AI and traditional product features
• Lead and collaborate on all portions of the SDLC including technical discovery to break down large, complex, and ambiguous problems into clear, actionable initiatives and tasks to drive successful outcomes
• Champion engineering quality, ensuring solutions are testable, observable, maintainable, and secure
• Mentor engineers and provide technical guidance on best practices