Woyce
Hire the way that fits your stage — one embedded engineer, a full pod, or extra senior hands on your existing team.
A senior AI/LLM engineer embedded full-time in your team — your repo, your standups, your roadmap.
A delivery pod — tech lead plus engineers — that owns an AI product end-to-end, from architecture to launch.
Plug senior AI engineers into your existing team to clear a backlog or hit a deadline, scaling month to month.
Most engagements start within 1–2 weeks. For staff augmentation we share matched senior profiles within 3–5 business days, and you interview before committing.
Yes. Our engineers provide 4+ hours of daily overlap with US (EST–PST) and UK working hours, with standups and reviews on your schedule.
All three. Staff augmentation is billed monthly per engineer, project pods can be fixed-scope, and there is no long lock-in — scale up or down month to month.
RAG systems, AI agents, chatbots, voice AI, and LLM integrations across GPT-4, Claude, and Gemini, plus fine-tuning and the full-stack apps around them using LangChain, vector databases, and your existing stack.