Applied AI Engineer
About the role
Applied AI Engineers at Pareto build the internal systems that let the company scale. The work is unglamorous in the best way: data pipelines, training workflows, HITL infrastructure. Your job is to get ahead of the complexity before it slows things down. Design the agentic workflows and automation pipelines that let Pareto operate faster and break less. You work directly with research, data, and product teams. You'll scope hard problems, decide what's worth building, and own what ships. The work feeds into training pipelines at Anthropic, GDM, and other frontier labs.
What you'll do
- Design and build pipelines that generate synthetic tasks and eval environments for model training. Factory floor of AI development, not the models themselves.
- Architect HITL workflows. Decide what gets automated vs. what needs human review, how state survives handoffs, and what breaks first under load.
- Lead system design discussions. Write one-page scoping docs that surface hidden risks before development starts.
- Assess whether a technical idea is worth building. Get early signal, align stakeholders, then decide fast.
- Work across research, ops, and data teams. Translate ambiguous requirements into concrete architecture.
- Build frameworks and guidelines the rest of the team can actually use.
Requirements
- 8+ years of software engineering experience with end-to-end ownership of complex systems
- Software engineering foundation first. You think in systems and architecture.
- Production experience with agentic workflows, HITL pipelines, and LLM-powered applications. RAG, vector stores, multi-model stacks. Shipped and monitored, not demoed.
- Solid context engineering practices. You know where AI breaks and how to build around it.
- Experience with distributed systems applied to AI or data platforms. It needs to be reliable and observable at scale.
- Daily use of agentic coding tools (Claude Code, Cursor, or equivalent).
- Strong written and verbal English communication. Design discussions, stakeholder pushback, architecture docs. None of it can be a bottleneck.
About Pareto AI
Pareto AI builds ethical AI training data platforms in partnership with researchers at Anthropic, Character.AI, Imbue, Stanford, and UPenn, enabling skilled talent worldwide to collaborate with AI developers on building next-generation models.
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