Job description

About E2M:

E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing .Founded on strong business ethics, we are an equal opportunity organization powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together .If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you.

Role: AI/ML Engineer

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

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