AI Engineer - Production LLM Systems for Enterprise

Digitailor; San Francisco (CA); On-site; USD 150,000 - 180,000; Full time

Job summary

Digitailor is seeking a software engineer to join a product engineering team building agentic AI systems for automated workflows across regulated industries. You will ship production LLM services with a focus on reliability, safety, and customer outcomes, owning RAG pipelines, tool integration, and multi-agent orchestration.

The role requires 2–8 years of software experience, full-stack Python/TypeScript, cloud exposure (AWS/GCP), and strong knowledge of retrieval pipelines, embeddings, and

Qualifications

• Two to eight years of software engineering experience delivering shipped user-facing or backend products, including substantive AI engineering experience in a product-focused setting.
• Production experience deploying LLM-based services, including prompt design, orchestration, and tool integration.
• Full-stack proficiency with Python and TypeScript/React or equivalent, along with cloud experience such as AWS or GCP and relational or NoSQL databases.
• Working knowledge of RAG, vector databases, embeddings, and retrieval pipelines.
• Experience building automated tests, evaluations, and monitoring for production AI systems.
• Experience designing API-driven, high-throughput systems and real-time product features.
• Experience with agent or workflow frameworks and orchestration tools; familiarity with fine-tuning or multimodal models is also useful.
• Background in multi-tenant or enterprise systems, or regulated industries such as healthcare, fintech, or legal.
• End-to-end ownership, sound engineering judgment, and a collaborative, user-focused approach.

Responsibilities

• Build and maintain agentic systems for multi-step workflows across areas such as healthcare, legal, fintech, logistics, and compliance.
• Own production RAG pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing.
• Implement multi-agent orchestration, tool-calling, memory, and reasoning features.
• Build evaluation and safety infrastructure to track model performance, identify regressions, and support reliable enterprise use.
• Develop full-stack AI products, including APIs, data models, frontend and backend features, and production operations.
• Use CI/CD, testing, monitoring, user feedback, and product telemetry to improve deployed systems.
• Work with product and design partners to prioritize work and define success measures.

Skills

Python

TypeScript/React

Cloud AWS/GCP

AI engineering

API design

Databases (SQL/NoSQL)

Testing/Monitoring

CI/CD

Tools

Vector databases

Embeddings

Retrieval pipelines

Agent frameworks

Job description

Digitailor is seeking a software engineer to join a product engineering team building agentic AI systems for automated workflows across regulated industries. You will ship production LLM services with a focus on reliability, safety, and customer outcomes, owning RAG pipelines, tool integration, and multi-agent orchestration.

The role requires 2–8 years of software experience, full-stack Python/TypeScript, cloud exposure (AWS/GCP), and strong knowledge of retrieval pipelines, embeddings, and