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 Overview:

We are looking for an Associate AI/ML Engineer with 1–2 years of experience who is passionate about building AI-native applications and shipping practical solutions for real-world business problems.
This is an execution-focused role for someone with strong Python fundamentals, working knowledge of frontend development, and hands-on exposure to LLM APIs and Generative AI workflows. The ideal candidate is comfortable working across backend, frontend, AI integrations, and rapid prototyping.
You will work closely with the AI/ML Engineer, product teams, and business stakeholders to build, integrate, test, and deploy AI-driven features — from custom dashboards and micro apps to LLM-powered internal tools.

Key Responsibilities:

Assist in designing and developing AI-native applications end-to-end (backend + frontend) under the guidance of senior engineers.
Build and maintain REST APIs and backend services using Python frameworks such as FastAPI or Flask.
Develop and contribute to custom dashboards, internal tools, and micro apps powered by AI insights.
Integrate LLM APIs (OpenAI, Claude, Hugging Face) into real-world applications.
Implement prompt engineering techniques to improve the quality and reliability of AI outputs.
Support the development of RAG-based workflows using embeddings, vector databases, and external data sources.
Build responsive frontend components and screens using React, Next.js, or similar frameworks.
Rapidly prototype ideas using a “vibe coding” approach — fast iteration, quick validation, ship-and-learn mindset.
Assist in debugging AI pipelines, backend workflows, and data-processing tasks.
Work with databases such as PostgreSQL, Supabase, or similar systems.
Collaborate with product, business, and engineering teams to convert requirements into working AI features.
Stay updated with new AI tools, frameworks, and best practices through hands-on experimentation.

Required Skills & Qualifications:

1–2 years of experience in software development, AI/ML, backend development, or related roles. Strong internships may be considered.
Strong Python fundamentals and hands-on coding experience.
Experience with backend frameworks such as FastAPI, Flask, or similar.
Working knowledge of frontend development using React, Next.js, or similar frameworks.
Hands-on experience with LLM APIs (OpenAI, Claude, Hugging Face) in real applications.
Knowledge of prompt engineering and practical LLM usage patterns.
Understanding of RAG, embeddings, and vector search concepts.
Familiarity with vector databases such as Pinecone, FAISS, Supabase Vector, or similar.
Experience in REST API development and backend integrations.
Working knowledge of databases such as PostgreSQL, Supabase, or similar.
Comfort with data handling using Pandas / NumPy.
Strong problem-solving and debugging skills.
Ability to ship features end-to-end with guidance, and willingness to take ownership of outcomes.

Good to Have:

Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks.
Exposure to AI-native UX patterns (chat interfaces, copilots, assistants).
Experience building custom dashboards or internal tools.
Familiarity with fast prototyping tools and workflows (v0, Bolt, Lovable, Cursor, Claude Code, etc.).
Web scraping experience.
Basic understanding of system design concepts.
Deployment experience for backend or AI applications (Vercel, Railway, Render, etc.).
Understanding of authentication and security basics.

Soft Skills:

Ability to handle a mix of AI, backend, frontend, and business-related tasks.
Strong ownership mindset and willingness to take responsibility for outcomes.
Good communication skills and ability to explain technical ideas clearly.
Comfortable working in uncertain, ambiguous, or problem-heavy situations.
Eagerness to learn new technologies and apply them quickly.
Collaborative attitude and ability to work with cross-functional teams.

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