Generative AI Engineer

Generative AI Developer – 1 to 2 Years Experience

Early‑career AI/ML Engineer supporting the development and deployment of Generative AI solutions such as LLMs and RAG systems. Focus on hands‑on implementation, integration, and learning‑by‑delivery under guidance.

• Strong foundation in Python (data handling, APIs, scripts)
• Understanding of APIs, Docker, or deployment workflows
• Exposure to deploying ML/AI models (even in projects or internships)
• Understanding of embeddings and retrieval flow
• Hands‑on exposure through projects
• Experience working with GPT/Llama APIs
• Ability to structure prompts and evaluate outputs
• Familiarity with vector databases: FAISS, Chroma, Pinecone
• ML fundamentals: overfitting, evaluation metrics, basic algorithms
• Ability to reason about model behavior

• Assist in building RAG‑based GenAI solutions for enterprise use cases
• Develop Python‑based services/APIs integrating LLMs
• Support data preprocessing, embeddings, and retrieval pipelines
• Contribute to model deployment and integration tasks
• Debug and improve existing pipelines under supervision
• Work closely with senior engineers to understand production constraints (latency, cost, accuracy)

• Lang Chain or Llama Index exposure
• Cloud basics:
  Azure, AWS, GCP
• Basic understanding of CI/CD or MLOps concepts
• Internship/project experience in GenAI or ML use cases

• Bachelor's degree in Computer Science / Data Science or related field
• 12 years of experience in AI/ML (including internships and project work)
• Exposure to at least one end‑to‑end ML/GenAI project (academic and professional)