Role overview
Core Skills & Experience
What we're looking for
● 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.