AI Engineer

Huptech Hr Solutions

Ahmedabad District

On-site

INR 1,000,000 - 1,800,000

Full time

7 days ago
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Job summary

Huptech Hr Solutions is seeking an AI/ML Engineer with 2+ years of experience to design, build, and ship AI-native applications. The role combines backend systems, frontend development, and rapid prototyping to deliver dashboards, micro apps, and scalable AI-driven products.

You will design and develop AI-native apps end-to-end, build dashboards powered by AI insights, and integrate LLM APIs into real-world applications while crafting responsive frontends with React/Next.js and Python backends.

Qualifications

  • 2+ years of experience in software/AI engineering.
  • Strong proficiency in Python (backend).
  • Hands-on frontend development experience (React/Next.js).
  • Experience working with LLM APIs (OpenAI, Claude, Hugging Face).
  • Ability to build and ship end-to-end applications independently.

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 into real-world applications.
  • Create REST APIs and scalable backend services in Python.
  • Build responsive frontends (React/Next.js or similar).
  • Prototype ideas quickly with vibe coding approach.
  • Implement prompt engineering, RAG pipelines, and context-aware AI systems.
  • Optimize performance, scalability, and cost of AI-driven apps.
  • Collaborate with product/business teams to turn ideas into working solutions.

Skills

Python Backend
Frontend Development
LLM APIs
REST & Microservices
Prompt Engineering
Data Handling (Pandas/NumPy)
Problem Solving
Debugging

Tools

React/Next.js
OpenAI API
Hugging Face
VectorDBs (Pinecone/Vectordb)

Job description

  • 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
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