Generative AI Engineer, Entry Level

Qualifications

• Strong Python skills and comfort with APIs
• Understanding of NLP fundamentals and basic ML concepts
• Ability to write clean code and iterate quickly
• Familiarity with LangChain or LlamaIndex (or similar orchestration tools)
• Experience with vector databases (Pinecone, Weaviate, FAISS, Chroma)
• Basic knowledge of embeddings, token limits, context windows, and prompt injection risks
• Cloud and Docker exposure

Responsibilities

• You will help create prompt workflows, retrieval-augmented generation (RAG) pipelines, and AI features that deliver business value safely and reliably
• Build GenAI prototypes and production features using LLM APIs and open-source models
• Develop prompt strategies and evaluate outputs for quality and consistency
• Implement RAG using vector databases and document pipelines
• Create automated tests and evaluation approaches for GenAI responses
• Work on responsible AI practices (privacy, safety, bias mitigation)

Full Description

Job description

About the role

We are looking for a Generative AI Engineer to help build applications powered by large language models (LLMs).

You will help create prompt workflows, retrieval-augmented generation (RAG) pipelines, and AI features that deliver business value safely and reliably.

What you will do

• Build GenAI prototypes and production features using LLM APIs and open-source models

• Develop prompt strategies and evaluate outputs for quality and consistency

• Implement RAG using vector databases and document pipelines

• Create automated tests and evaluation approaches for GenAI responses

• Work on responsible AI practices (privacy, safety, bias mitigation)

What you are looking for

• Strong Python skills and comfort with APIs

• Understanding of NLP fundamentals and basic ML concepts

• Ability to write clean code and iterate quickly

Nice to have

• Familiarity with LangChain or LlamaIndex (or similar orchestration tools)

• Experience with vector databases (Pinecone, Weaviate, FAISS, Chroma)

• Basic knowledge of embeddings, token limits, context windows, and prompt injection risks

• Cloud and Docker exposure