Senior Applied AI Engineer - Remote, RAG & Agentic Systems

JUPUS; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Fully Remote

Top Equipment – MacBook

Wellbeing Perks – Urban Sports Club

Job summary

JUPUS is seeking a Senior Applied AI Engineer to advance production-grade generative AI capabilities for legal tech. You will own architecture to implementation, delivering agentic workflows, RAG pipelines, and AI features used by lawyers.

You'll collaborate with the AI Lead, Head of Engineering, and product teams to ship reliable AI functionality while improving LLM infrastructure, observability, and evaluation workflows. This role emphasizes practical production AI impact.

Qualifications

• Extensive hands-on experience building and deploying generative AI systems in production.
• Strong experience with RAG architectures (embeddings, retrieval, ranking).
• Experience designing and deploying agentic systems or AI agents in production.
• Experience with LLM observability and evaluation tools (LangSmith, Langfuse) and evaluation pipelines.

Responsibilities

• Architect and implement production-ready generative AI and LLM-based solutions within our product suite.
• Design and develop agentic systems to automate workflows and multi-step tasks within the platform.
• Build and maintain RAG pipelines enabling document interaction and case-file querying.

Skills

RAG architectures

Agentic systems

LLM observability

Python programming

Production AI deployment

AI feature design

Stakeholder communication

Tools

LangSmith

Langfuse

Job description

JUPUS is seeking a Senior Applied AI Engineer to advance production-grade generative AI capabilities for legal tech. You will own architecture to implementation, delivering agentic workflows, RAG pipelines, and AI features used by lawyers.

You'll collaborate with the AI Lead, Head of Engineering, and product teams to ship reliable AI functionality while improving LLM infrastructure, observability, and evaluation workflows. This role emphasizes practical production AI impact.