AIResumeCV

Sample Resume Preview

John Doe

John Doe

AI engineer with 3+ years of experience building production AI systems using LLMs, RAG pipelines, and traditional ML. Strong background in Python, LangChain, and model deployment. Passionate about creating practical AI solutions that deliver business value.

Experience

AI Engineer

AIPlatform — India

Jan 2022Present

  • Built RAG pipeline using LangChain and Pinecone achieving 92% answer accuracy on enterprise documents
  • Developed LLM-powered chatbot reducing customer support ticket volume by 40%
  • Fine-tuned open-source LLMs (Llama, Mistral) for domain-specific tasks improving accuracy by 25%
  • Deployed AI services using FastAPI and Docker serving 10K+ daily API requests

AI/ML Engineer

TechLabs — India

Jul 2020Dec 2021

  • Built text classification and NER models using spaCy and Hugging Face Transformers
  • Created prompt engineering framework improving LLM output consistency by 35%
  • Implemented model evaluation pipeline tracking accuracy, latency, and cost metrics

Education

Indian Institute of Technology

B.Tech in Computer Science

Aug 2017Jun 2021

GPA: 8.6/10

Delhi Public School

XII in Science

Apr 2015Mar 2017

GPA: 92%

Skills

PythonLangChainLLM APIs (OpenAI etc)RAGFine-tuningVector DatabasesFastAPIDockerPrompt EngineeringHugging Face

Example resume for a AI Engineer Resume position. Customize it with your own experience.

AI Engineer Resume — Examples & Format

An AI engineer resume should demonstrate AI/ML application development, LLM integration, RAG pipelines, and production AI system expertise.

Salary Range: ₹10L–₹40L

Recommended Resume Sections

SummaryAI SkillsExperienceAI ProjectsEducation

ATS Keywords to Include

These keywords help your resume pass ATS filters used by Indian recruiters.

AIMachine LearningLLMGenAIRAGPythonLangChainOpenAIVector DatabasesPrompt EngineeringFine-tuningFastAPIDocker

Tips for a Strong Resume

  • Show production AI systems you've built
  • Describe RAG pipeline architecture
  • Include evaluation metrics for AI systems
  • Show MLOps and model deployment experience
  • List specific LLM and framework experience