Explicitly requires vibe coding skills — emphasizes rapid iteration and quick prototyping with AI.
About the Role
Build and ship AI-native, full‑stack applications including responsive frontends, scalable Python backends, and AI-powered dashboards and micro‑apps. Integrate LLM APIs, implement RAG and prompt engineering, and rapidly prototype solutions to turn product ideas into production features.
Job Description
Role
AI/ML Engineer responsible for designing, building, and shipping AI-native applications end-to-end, 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 (backend + frontend) and internal tools.
- Build custom dashboards and lightweight micro apps to solve business problems.
- Integrate LLM APIs such as OpenAI, Claude, and Hugging Face into production applications.
- Create REST APIs and scalable backend services in Python.
- Build responsive frontends using React / Next.js or similar frameworks.
- Rapidly prototype ideas using a vibe coding approach for fast iteration and validation.
- Implement prompt engineering, retrieval-augmented generation (RAG) pipelines, and context-aware AI systems.
- Optimize application performance, scalability, and cost.
- Collaborate with product and business teams to deliver working solutions.
Requirements
- 2+ years of experience in software or AI engineering.
- Strong proficiency in Python for backend development.
- 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, microservices concepts, and system design.
- Familiarity with prompt engineering, embeddings, and RAG concepts.
- Experience with data handling libraries such as Pandas and NumPy.
- Strong problem-solving and debugging skills.
Good to Have
- Experience with LangChain or LlamaIndex.
- Familiarity with vector databases like Pinecone, Weaviate, or Supabase.
- Experience building custom dashboards or internal tools and AI-native UX patterns (chat interfaces, copilots, assistants).
- Understanding of fast prototyping tools and workflows.
Employment Details
- Job type: Full-time, Permanent
- Work location: In person
- Compensation: Up to ₹1,000,000.00 per year
Benefits
- Flexible schedule
- Paid sick time
- Provident Fund