Overview

E2M Solutions works as a trusted white-label partner for digital agencies.

Responsibilities

• 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.
• 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.
• 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.

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.
• 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.
• 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:
• Exposure to AI-native UX patterns (chat interfaces, copilots, assistants).
• 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.