Senior Software Engineer, AI & Fullstack

Summary

Join Mediafly as a Senior Software Engineer and design, build, and optimize AI-powered features for our leading revenue enablement platform. You will work full-stack, collaborating with various teams to deliver high-impact capabilities. This individual contributor role offers broad scope, influencing architecture and leading technical execution. You will contribute to a multi-million ARR platform, impacting thousands of users. Your work will directly shape the future of our AI-driven workflows. Mediafly offers a remote position with flexible hours and a collaborative team.

Requirements

• Technical Breadth : Fluency in fullstack development, particularly with Python, Node.js , and React. You've built and maintained production-grade systems with meaningful architectural ownership
• Pragmatic AI Experience : Hands-on experience working with AI systems—such as AI agents, AI-powered search, RAG pipelines, or integrating LLMs via orchestration frameworks. You may have worked with prompt design, embeddings, or vector databases
• Architectural Skills: Proven ability to design scalable, distributed, and robust systems
• Collaboration & Communication: You value open discussions, give and receive feedback well, and thrive in a collaborative environment
• Curiosity & Problem-Solving: You love diving deep into complex systems, understanding how they work, and finding creative ways to improve them. Whether it's optimizing existing architecture or rethinking processes, you bring a thoughtful approach to problem-solving. You’ve likely worked on challenging tech before and enjoy the satisfaction of making things more efficient, scalable, and future-proof
• Product Mindset: You care about more than just the code—you’re curious about the why behind what you’re building. You think about the business impact, user experience, and long-term value of your work, ensuring that technical decisions align with broader company and customer goals
• Versatility & Leadership: You’re comfortable switching between research initiatives and hands-on execution. Whether you're engaging in high-level architectural discussions, exploring new opportunities, or rolling up your sleeves to debug and build, you adapt seamlessly to what the situation calls for

Responsibilities

• 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

Preferred Qualifications

Experience with DevOps with preference for AWS

Benefits

• Flexible working hours
• Generous Paid Time Off
• Competitive Salary
• Health Benefits
• Transparent Career Paths
• Generous Paid Parental Leave
• Remote Stipend