AI Engineer
Build intelligent systems and AI applications.
- ₹9–20 LPAEntry salary
- ₹30–70 LPASenior / Lead
- Very HighDemand outlook
01 · Role overview
What does this role do?
AI Engineers design, train, and deploy AI solutions including LLMs and agents.
AI Model Integration
Integrate LLMs and models into products.
RAG Systems
Build retrieval-augmented generation applications.
02 · Skills
Skills required
PythonLangChainLLMsPyTorchVector Databases
03 · Market
Career overview
- Build intelligent systems and AI applications.
- Best suited for people who enjoy Python, LangChain, and LLMs and want to build solutions that create visible impact in real teams.
- Typical work includes integrate llms and models into products and build retrieval-augmented generation applications.
- Demand is Very High in India, with entry salaries around ₹9–20 LPA and experienced AI Engineer roles often reaching ₹30–70 LPA.
- Hiring teams value practical projects, clear problem-solving, and collaboration — not just certificates or tool lists.
- Start with ML Foundations, then strengthen Generative AI, and keep improving Agentic AI through hands-on projects, internships, and production-like assignments.
04 · Roadmap
Learning path & roadmap
Stage 1
ML Foundations
Core machine learning.
Stage 2
Generative AI
Prompt engineering and LLMs.
Stage 3
Production AI
Agents and scalable systems.
05 · Certifications
Certifications
DeepLearning.AI Specializations
Andrew Ng courses.
06 · Tools
Required tools
LangChainHugging FacePineconeDocker
07 · Salary
Salary progression (India)
| Level | Experience | Annual CTC |
|---|---|---|
| Junior | 0–2 yrs | ₹9–20 LPA |
| Senior | 5+ yrs | ₹30–70 LPA |
08 · Skill gap
Typical fresher vs. industry expectation
Agentic AI75%
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