Artificial Intelligence Engineer

Role: AI/ML Engineer

Experience :- 2+ years

Location :- Ahmedabad (Work from office)

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