AI Engineer

About E2M: E2M is a leading white-label growth partner for digital agencies worldwide, helping them scale through expert web development, digital marketing, and AI-powered solutions. With 13+ years of experience, 350+ professionals, and 400+ agency partners globally, E2M offers services across WordPress, Shopify, SEO, PPC, content marketing, and AI automation. Driven by an agency-first approach and our Black Label Standard, we work as an extension of our partners' teams, delivering quality, innovation, and reliable digital solutions that help them grow. Role Overview: We are looking for an AI/ML Engineer with 2+ years of experience to design, build, and ship AI-native applications. This role requires strong full-stack capabilities, combining backend systems, frontend development, and rapid prototyping to deliver custom dashboards, micro apps, and scalable AI-driven products. Key Responsibilities: Design and develop AI-native applications end-to-end (backend + frontend) Build custom dashboards and internal tools powered by AI insights Develop micro apps / lightweight tools to solve specific business problems Integrate LLM APIs (OpenAI, Claude, Hugging Face) into real-world applications Create REST APIs and scalable backend services in Python Build responsive and functional frontends (React/Next.js or similar) Rapidly prototype ideas using a “vibe coding” approach (fast iteration, quick validation) Implement prompt engineering, RAG pipelines, and context-aware AI systems Optimize performance, scalability, and cost of AI-driven applications Collaborate closely with product/business teams to turn ideas into working solutions Required Skills & Qualifications: 2+ years of experience in software/AI engineering Strong proficiency in Python (backend) Hands-on experience with frontend development (React, Next.js, or similar) Experience working with LLM APIs (OpenAI, Claude, Hugging Face) Ability to build and ship end-to-end applications independently Strong understanding of REST APIs, micro services, and system design Familiarity with prompt engineering, embeddings, and RAG concepts Experience with data handling (Pandas, NumPy) Strong problem-solving and debugging skills Good to Have: Experience with LangChain / LlamaIndex or similar frameworks Familiarity with vector databases (Pinecone, Weaviate, Supabase, etc.) Experience building custom dashboards or internal tools Exposure to AI-native UX patterns (chat interfaces, copilots, assistants) Understanding of fast prototyping tools and workflows What We Expect (Important): Not just a backend engineer — should be comfortable building frontend as well Not just ML training — focus is on applying AI in real products Should be able to prototype quickly (“vibe coding”) and iterate fast Strong ownership mindset — ability to take features from idea to production