AI Product Engineer jobs for 0 to 10 years experience

AI Product Engineer (Fresher / Experienced)

Job Location

Bangalore / Hyderabad / Pune / Chennai / Gurugram / Noida (Hybrid / Work From Office / Remote)

Employment Type

• Full-Time
• Permanent

Experience

• Fresher (0 Years)
• 1–8 Years (Experienced)

Salary

• Fresher: ₹4 – ₹8 LPA
• 1–3 Years: ₹8 – ₹15 LPA
• 3–5 Years: ₹15 – ₹28 LPA
• 5–8 Years: ₹28 – ₹45 LPA

Job Summary

We are looking for passionate AI Product Engineers to design, build, and deploy AI-powered products using modern Artificial Intelligence and Generative AI technologies. You will work on Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), Prompt Engineering, AI APIs, and cloud deployment while collaborating with product managers, designers, and engineering teams.

This role is suitable for both fresh graduates interested in AI and experienced professionals building enterprise AI applications.

Key Responsibilities

• Design and develop AI-powered products and applications.
• Build intelligent chatbots and AI assistants.
• Integrate OpenAI, Claude, Gemini, DeepSeek, Grok, and other AI APIs.
• Develop AI workflows using LangChain or LlamaIndex.
• Build RAG (Retrieval-Augmented Generation) systems.
• Create AI Agents for automation.
• Design prompt engineering strategies.
• Fine-tune AI responses for accuracy.
• Integrate vector databases.
• Build REST APIs for AI applications.
• Optimize AI model performance.
• Deploy AI applications on cloud platforms.
• Collaborate with Product, UI/UX, and Engineering teams.
• Troubleshoot AI model performance issues.
• Stay updated with emerging AI technologies.

Required Skills

Programming Languages

• Python
• JavaScript
• TypeScript

AI Technologies

• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• AI Agents
• RAG
• Fine Tuning (Preferred)
• AI Automation

AI Frameworks

• LangChain
• LlamaIndex
• CrewAI
• AutoGen
• Semantic Kernel (Preferred)

AI Models

• GPT
• Claude
• Gemini
• Llama
• Mistral
• DeepSeek

Backend

• FastAPI
• Flask
• Node.js
• Express.js

Databases

• PostgreSQL
• MongoDB
• MySQL
• Redis

Vector Databases

• Pinecone
• ChromaDB
• Weaviate
• FAISS
• Milvus

Cloud Platforms

• AWS
• Microsoft Azure
• Google Cloud Platform

DevOps

• Docker
• Kubernetes
• Git
• GitHub Actions
• CI/CD

Preferred Skills

• NLP
• Computer Vision (Optional)
• Speech AI
• OCR
• AI Workflow Automation
• MCP (Model Context Protocol)
• Function Calling
• API Integration
• Model Evaluation
• AI Guardrails
• AI Security
• Prompt Optimization

Educational Qualification

• B.E. / B.Tech
• M.Tech
• MCA
• M.Sc (Computer Science / AI / Data Science)
• BCA
• B.Sc Computer Science

Freshers with strong AI projects are encouraged to apply.

Freshers Should Have

• Python Programming
• Basic Machine Learning
• OpenAI API Knowledge
• Prompt Engineering
• Git & GitHub
• REST APIs
• SQL Basics
• Personal AI Projects
• Internship in AI (Preferred)

Experience Requirements

Candidates should have experience in one or more of the following:

• Building AI applications
• AI chatbot development
• Enterprise AI solutions
• AI automation
• LLM integrations
• Prompt Engineering
• RAG implementation
• AI Agent development
• AI product deployment
• Cloud-based AI solutions

Good to Have

• Hugging Face
• Ollama
• vLLM
• TensorFlow
• PyTorch
• MLflow
• Airflow
• Streamlit
• Gradio
• Next.js
• React.js

Soft Skills

• Problem Solving
• Product Thinking
• Analytical Skills
• Communication Skills
• Team Collaboration
• Learning Mindset
• Innovation
• Ownership

Interview Process

1. Resume Screening
2. Online AI Aptitude Test
3. Technical Assessment
4. AI Product Development Round
5. Coding Round
6. Managerial Discussion
7. HR Discussion
8. Offer Release

Key Skills

Artificial Intelligence, Generative AI, AI Product Engineer, AI Developer, AI Engineer, LLM, GPT, OpenAI, Claude, Gemini, LangChain, LlamaIndex, Prompt Engineering, AI Agents, RAG, Python, FastAPI, Vector Database, Pinecone, ChromaDB, MongoDB, PostgreSQL, Docker, Kubernetes, AWS, Azure, GCP, REST API, Machine Learning, NLP, AI Automation, MCP, Function Calling, Git, CI/CD.