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)
• Hands-on experience with search technologies like OpenSearch or Elasticsearch
• AI assisted development mindset and experience leveraging tools like Claude, Codex, Co-pilot to accelerate research, requirements gathering, development, and testing
• Experience developing with AI systems - this could include LLM integrations, AI-powered search, vector databases, RAG pipelines, evaluations, 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
• Someone who is excited to design, ship, and scale AI-powered features while also contributing across our complete tech stack which includes Python, Node.js, React, Java and C#
• You love solving tough engineering challenges and want to shape how AI is used in real products
• If you’re eager to learn, experiment, and have real impact, we want to hear from you, even if you don’t tick every box

Desirable

• At Mediafly, you’ll build features that help revenue teams around the world sell smarter and you’ll do it with a collaborative, remote-first team that values creativity, curiosity, and growth
• We’re looking for a Senior Fullstack Engineer with a mindset for leveraging AI to develop enterprise software
• This role is hands-on and influential
• You’ll shape architecture, experiment with new ideas, and see them through to production
• The features you ship will directly improve how thousands of sales professionals close deals every day
• Your contributions won’t be lost in the noise; they’ll help define what’s next
• AND you’ll have opportunities to explore leadership paths, work on greenfield AI features, and grow your expertise in AI, cloud and DevOps
• Design and integrate AI workflows into customer-facing products using agentic architectures (e.g. MCP) and 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