Mediafly - Senior Software Engineer (AI & Fullstack)
Requirements
• Familiarity with orchestration frameworks (LangChain, LlamaIndex, etc.) and prompt/embedding design. • Familiarity with AI agent protocols and concepts, including MCP and A2A • Exposure to cloud infrastructure and DevOps practices (especially AWS). • Experience with observability and monitoring tools (Datadog, Grafana, etc. • A product mindset: you care about user experience, business impact, and the “why” behind the features. • Interest in emerging AI technologies and shaping how they’re applied in real-world SaaS products. • Hands on experience building and maintaining CRM integrations
Responsibilities
• 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. • ## You’ll be successful in this role with: • 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.
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