Role overview
Job Description: As a Generative AI Engineer, you'll be a core member of this pod, building and integrating agentic systems powered by cutting-edge LLM and GenAI technologies. You'll work closely with Tech Leads and Full Stack Engineers to turn AI capabilities into production-ready enterprise solutions.
What we're looking for
- 8 years of software engineering experience with at least 2-3 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, Google ADK, is a must)
- Understanding of Git, CI/CD, DevOps, and production-grade GenAI deployment practices.
- Familiarity with Google Cloud Platform (Google Cloud Platform) - e.g. 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).
For applications and inquiries, contact: hirings@openkyber.com
Tags & focus areas
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