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Full stack AI Engineer
Ahmedabad, Gujarat
1 week ago
💻 Open SourceExplicitly requires vibe coding—fast iteration and quick prototyping of AI features and prototypes.
About the Role
Build end-to-end AI-native applications as a full-stack engineer, combining Python backends, React/Next.js frontends, and LLM integrations to deliver dashboards, micro apps, and scalable AI-driven products with rapid prototyping.
Job Description
Role
We are hiring a Full Stack AI Engineer to design, build, and ship AI-native applications that combine backend systems, frontends, and rapid prototyping. The role focuses on integrating LLMs and AI pipelines into real products such as custom dashboards, internal tools, and micro apps.
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 and lightweight tools to solve business problems
- Integrate LLM APIs (OpenAI, Claude, Hugging Face) into 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 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 and business teams to deliver solutions
Requirements
Must have
- 2+ years of experience in software/AI engineering
- Strong proficiency in Python for backend development
- Hands-on frontend experience (React, Next.js, or similar)
- Experience with LLM APIs such as OpenAI, Claude, or Hugging Face
- Ability to build and ship end-to-end applications independently
- Strong understanding of REST APIs, microservices, and system design
- Familiarity with prompt engineering, embeddings, and RAG concepts
- Experience with data handling tools like Pandas and 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
Compensation & Benefits
- Pay: Up to ₹1,000,000.00 per year
- Benefits: Flexible schedule, Paid sick time, Provident Fund
Location & Work Mode
- Work Location: In person
Expectations
- Strong full-stack capability (not just backend)
- Focus on applying AI in real products (not just ML training)
- Ability to prototype quickly and iterate (vibe coding)
- Strong ownership mindset to take features from idea to production