Applied AI Engineer

Christian & Timbers; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Christian & Timbers is hiring an Applied AI Engineer to build production-ready AI apps powered by large language models for enterprise legal teams. You will work with product, engineering, and AI research to design systems that integrate foundation models, retrieval pipelines, and enterprise infrastructure securely and at scale.

Requirements include 3+ years in software engineering, Python proficiency, and experience with LLMs, RAG, and orchestration frameworks.

Qualifications

• Bachelor’s or Master’s degree in CS/SE/AI or related field.
• 3+ years of software engineering experience.
• Experience building production applications using large language models.
• Strong proficiency in Python.
• Experience with LLM APIs, prompt engineering, and AI application development.
• Hands-on experience with RAG architectures and vector databases.
• Familiarity with LangGraph, LangChain, LlamaIndex, or similar orchestration frameworks.
• Experience with FastAPI, Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of software architecture, distributed systems, and API development.

Responsibilities

• Design and develop enterprise-grade generative AI applications.
• Build Retrieval-Augmented Generation (RAG) systems for large legal knowledge bases.
• Develop AI agents capable of legal research, document drafting, contract review, and workflow automation.
• Integrate LLMs with enterprise data sources, APIs, and document management systems.
• Optimize prompts, evaluation pipelines, and model performance for accuracy, latency, and cost.
• Evaluate and implement frontier AI models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems.
• Build scalable backend services supporting AI-powered applications.
• Collaborate with Product, Design, and AI teams to rapidly prototype and launch new capabilities.
• Ensure enterprise-grade security, privacy, and governance across AI systems.
• Continuously explore emerging technologies in generative AI and agentic architectures.

Skills

Python

LLM integration

API development

Distributed systems

Education

Bachelor’s or Master’s degree in CS/SE/AI

Tools

LangGraph

LangChain

LlamaIndex

FastAPI

Docker

Kubernetes

AWS/Azure/GCP

Job description

A leading enterprise AI company is transforming how the world’s most prestigious corporate law firms operate. The company develops secure, customized generative AI platforms that automate complex legal workflows, accelerate research, enhance drafting, and help legal professionals work more efficiently while maintaining the highest standards of security, privacy, and accuracy.

Serving many of the world’s largest law firms and legal organizations, the company combines cutting-edge AI with deep domain expertise to build enterprise-grade solutions for mission-critical legal work.

About the Role

The company is seeking an Applied AI Engineer to build production-ready AI applications powered by large language models. This role focuses on translating the latest advances in generative AI into scalable products that solve real-world challenges for enterprise legal teams.

Working alongside product, engineering, and AI research teams, you’ll design intelligent systems that integrate foundation models, retrieval pipelines, agentic workflows, and enterprise infrastructure into secure, high-performance applications.

Responsibilities

• Design and develop enterprise-grade generative AI applications.
• Build Retrieval-Augmented Generation (RAG) systems for large legal knowledge bases.
• Develop AI agents capable of legal research, document drafting, contract review, and workflow automation.
• Integrate LLMs with enterprise data sources, APIs, and document management systems.
• Optimize prompts, evaluation pipelines, and model performance for accuracy, latency, and cost.
• Evaluate and implement frontier AI models from providers such as OpenAI, Anthropic, Google, and open-source ecosystems.
• Build scalable backend services supporting AI-powered applications.
• Collaborate with Product, Design, and AI teams to rapidly prototype and launch new capabilities.
• Ensure enterprise-grade security, privacy, and governance across AI systems.
• Continuously explore emerging technologies in generative AI and agentic architectures.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• 3+ years of software engineering experience.
• Experience building production applications using large language models.
• Strong proficiency in Python.
• Experience with LLM APIs, prompt engineering, and AI application development.
• Hands‑on experience with RAG architectures and vector databases.
• Familiarity with LangGraph, LangChain, LlamaIndex, or similar orchestration frameworks.
• Experience with FastAPI, Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of software architecture, distributed systems, and API development.

Preferred Qualifications

• Experience building AI products for legal, financial, healthcare, or other highly regulated industries.
• Knowledge of agentic AI frameworks and multi‑agent systems.
• Experience with enterprise security, compliance, and data governance.
• Familiarity with legal technology or document intelligence platforms.
• Contributions to open‑source AI projects or developer tools.

Why Join

This is an opportunity to build enterprise AI products at the forefront of legal innovation. Engineers in this role work on sophisticated generative AI systems that are deployed by some of the world’s most respected corporate law firms, helping redefine how legal professionals research, draft, analyze, and collaborate using AI.