应用AI工程师-智能系统

I’m helping Rozeta Labs find a top candidate to join their team full-time for the role of Applied AI Engineer- Agentic Systems . You’ll transform messy business processes into AI-enabled systems, delivering real-world operational impact. Compensation: USD 4K - 6K/month + Bonuses (up to 50% of base compensation). Location: Remote (anywhere). Mission of Rozeta Labs: "To help companies scale faster by integrating AI agents into real operational workflows." What makes you a strong candidate: You are proficient in Vector databases, TypeScript, Python, Natural language processing (NLP), Machine learning, LLM APIs. English - Conversational. Responsibilities and more: About Rozeta Labs: Rozeta Labs helps mid-market operating companies turn messy business processes into AI-enabled systems that actually work in production. We embed with subject matter experts, map how work actually gets done, identify the constraints, and build systems that help companies move work from request to resolution. That means working across CRMs, ERPs, inboxes, spreadsheets, internal docs, permissions, approvals, edge cases, and the human beings who keep the business running. We are looking for an Applied AI Engineer who can help us design, build, and deploy agentic workflows for real operating companies. The Role: This is a builder role for someone who wants to work at the edge of applied AI. You will work directly with operators, business owners, and internal subject matter experts to understand how a company actually runs, then turn that understanding into working AI systems. That might mean building an agent that reviews inbound requests, pulls context from multiple systems, drafts the right response, routes approvals, updates the CRM, creates follow-up tasks, and escalates exceptions to the right human. It might also mean building the boring but critical pieces around the agent: data pipelines, tool integrations, retrieval systems, evaluation loops, human review queues, audit trails, permissions, and monitoring. What You’ll Do: You will design and build AI agents, internal tools, workflow engines, automations, and integrations for mid-market companies. You will work with client teams to understand real business processes, not sanitized diagrams. You will connect AI systems to the tools companies already use: CRMs, ERPs, email, Slack, Google Workspace, Microsoft 365, databases, spreadsheets, ticketing systems, and vertical SaaS platforms. You will build prototypes quickly, test them with real users, and turn the useful ones into production-grade systems. You will design human-in-the-loop workflows where AI drafts, recommends, routes, summarizes, researches, classifies, or executes — but humans remain in control where judgment matters. You will create systems that handle edge cases, bad data, missing context, permission issues, unclear ownership, and the weird “this is just how we do it” logic that exists inside every company. You will help define technical patterns for Rozeta’s implementation work so we can move faster across clients without shipping fragile one-off hacks.

You are a strong engineer who is excited by applied AI, not just model benchmarks. You can build useful software quickly. You understand LLMs, agents, retrieval, tool use, structured outputs, evals, and orchestration- but you also understand that the hard part is usually the business process, not the model call. You are comfortable working in ambiguous environments where the requirements are messy at first. You can talk to non-technical operators, translate what they mean, and build what they actually need. You care about shipping systems that survive contact with the real world.

Competitive compensation based on experience. Open to full-time, contract-to-hire, or exceptional fractional candidates.

Rozeta Labs helps mid-market operating companies turn messy business processes into AI-enabled systems that actually work in production. We embed with subject matter experts, map how work actually gets done, identify the constraints, and build systems that help companies move work from request to resolution. That means working across CRMs, ERPs, inboxes, spreadsheets, internal docs, permissions, approvals, edge cases, and the human beings who keep the business running. We are looking for an Applied AI Engineer who can help us design, build, and deploy agentic workflows for real operating companies.