Generative AI Engineer

Core Skills & Experience

Must Haves

● 4–8 years of software engineering experience with at least 1–2 years in AI/ML or GenAI

systems in production

● Hands-on experience with Python only for AI/ML model integration.

● Experience with LLM frameworks (LangChain, LlamaIndex is a must

● Exposure to agentic frameworks (Langgraph, AutoGen, CrewAI is a must

● Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment

practices.

Nice-to-Have

● Familiarity with Google Cloud Platform (GCP) — especially Vertex AI, Cloud Run, and

GKE.

● Experience building AI APIs, embeddings, vector search, and integrating them into

applications.

● Experience fine-tuning open-source models (LLaMA, Mistral, etc.) or working with

OpenAI APIs.

● Exposure to multi-modal AI systems (text, image, or voice).

● Familiarity with Low-Code/No-Code tools (e.g., AppSheet) for workflow integration.