About the role
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