Artificial Intelligence Engineer

Huptech HR Solutions

Ahmedabad District

On-site

INR 1,500,000 - 2,500,000

Full time

4 days ago
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Job summary

Huptech HR Solutions in Ahmedabad (onsite) is seeking an AI/ML Engineer with 2+ years of experience to design, build, and ship AI-native applications, combining backend systems and frontend interfaces.

You will create dashboards and internal tools powered by AI insights, integrate LLM APIs, develop RESTful services in Python, and prototype rapidly to deliver scalable AI-driven products.

Qualifications

  • 2+ years of experience in software/AI engineering.
  • Strong Python (backend) skills.
  • Hands-on frontend development experience (React/Next.js).
  • Experience with LLM APIs (OpenAI, Claude, 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 (Pandas, NumPy).
  • Strong problem-solving and debugging skills.

Responsibilities

  • Design and develop AI-native applications end-to-end (backend + frontend).
  • Build dashboards and internal tools powered by AI insights.
  • Develop micro apps / lightweight tools for business problems.
  • Integrate LLM APIs into real-world applications.
  • Create REST APIs and scalable backend services in Python.
  • Build responsive frontends using React/Next.js or similar.
  • Prototype rapidly using a fast-iteration approach.
  • Implement prompt engineering, embeddings, and RAG concepts.
  • Optimize performance, scalability, and cost of AI apps.
  • Collaborate with product/business teams to turn ideas into working solutions.

Skills

Python (backend)
Frontend development (React/Next.js)
LLM APIs (OpenAI, Claude, Hugging Face
End-to-end product development
REST APIs & microservices
Prompt engineering / RAG
Data handling (Pandas, NumPy)
Problem-solving & debugging

Tools

LangChain / LlamaIndex
Vector databases (Pinecone, Weaviate)

Job description

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
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