Top Tech Jobs & Startup Jobs

Lead the design, implementation, and scaling of generative and agentic AI systems (RAG, LLM fine-tuning, embeddings). Oversee MLOps pipelines, containerised back-end services (Docker, FastAPI), mentor engineers, drive Evaluation-Driven Development, integrate third-party solutions, and collaborate cross-functionally to deploy robust, production-grade NLP and GenAI products.

Lead end-to-end talent acquisition, onboarding, and culture efforts for an AI engineering firm. Build recruitment pipelines, define hiring scorecards, improve selection and candidate experience, design onboarding and growth paths, run culture and knowledge-sharing initiatives, and partner with marketing on employer branding.

Design, prototype, and productionize applied AI systems (RAG, copilots, agentic workflows, fine-tuned models). Build reproducible evaluation and experimentation pipelines, containerized back-ends, and collaborate with engineers and customers to improve model quality, latency, and cost-efficiency. Document and share findings, mentor peers, and translate research into customer-facing solutions.