Teams at Craftzing

Design and deliver production-grade AI/ML solutions for clients, including LLM applications, agents, RAG pipelines, and classical machine learning models. Responsibilities include discovery workshops, data preparation, prompt and context engineering, model evaluation, cloud deployment, monitoring, client presentations, sales support, and proof-of-concept development. The role combines hands-on engineering with consulting and business problem-solving.

Design, build, deploy, and operate production-grade generative AI systems, including LLM agents, conversational applications, and RAG pipelines. Develop orchestration layers, integrate vector databases and APIs, optimize prompts and context, and monitor quality, latency, cost, bias, and drift. Build CI/CD automation, testing, versioning, reproducible deployments, and safe model rollouts while collaborating with ML, software, DevOps, and infrastructure teams.

Student internship supporting digital strategy, UX/UI design, and front- and back-end development projects. Work closely with mentors, gain hands-on experience, and contribute to client deliverables in a hybrid, flexible environment.