Entry-Level AI Generative Engineer — Job Description
Role: AI Generative Engineer / GenAI Developer – Entry Level
Experience: 1–4 years
Key Responsibilities
- Develop and test applications using Python and Generative AI technologies.
- Work with LLMs such as GPT, Llama, Gemini, or similar models.
- Create and optimize prompts for different business use cases.
- Build basic RAG (Retrieval-Augmented Generation) applications.
- Work with APIs, embeddings, vector databases, and AI frameworks.
- Write SQL queries to retrieve, analyze, and manipulate data.
- Clean, transform, and prepare data using Python.
- Develop basic automation scripts and data-processing pipelines.
- Test AI-generated outputs and improve accuracy and reliability.
- Collaborate with senior developers/data scientists to build AI solutions.
- Debug Python code and troubleshoot application issues.
- Document code, experiments, and technical solutions.
Required Skills
- Strong fundamentals in Python.
- Good understanding of SQL — SELECT, JOIN, GROUP BY, subqueries, CTEs, and window functions.
- Basic knowledge of Machine Learning and AI concepts.
- Understanding of Generative AI and Large Language Models (LLMs).
- Familiarity with REST APIs and JSON.
- Basic knowledge of Git/GitHub.
- Problem-solving and analytical skills.
- Willingness to learn new AI tools and technologies.
Good-to-Have Skills
- LangChain or LlamaIndex
- OpenAI/Gemini/Claude APIs
- Hugging Face
- Pandas and NumPy
- FastAPI or Flask
- Vector databases such as FAISS, Chroma, Pinecone, or similar
- Cloud platforms such as AWS, Azure, or GCP
- Basic knowledge of Docker
- Knowledge of RAG, embeddings, fine-tuning, and AI agents
Thanks