Mid-Level AI Engineer

Wwshemi; San Francisco (CA); Presencial; USD 150.000 - 180.000; Jornada completa

Descripción de la vacante

Wwshemi in San Francisco is seeking a software engineer to build agentic AI systems that automate complex workflows across regulated domains. You will ship production LLM services with a focus on reliability, safety, and useful outcomes for customers.

You will own production RAG pipelines, vector databases, embeddings, and indexing, and implement multi-agent orchestration, tool-calling, memory, and reasoning features.

Formación

• 2-8 years of software engineering experience delivering shipped user-facing or backend products, including substantive AI engineering experience.
• Production experience deploying LLM-based services, including prompt design, orchestration, and tool integration.
• Full-stack proficiency with Python and TypeScript/React, plus cloud experience such as AWS or GCP and 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 features.
• Experience with agent or workflow frameworks and orchestration tools; familiarity with fine-tuning or multimodal models.

Responsabilidades

• Build and maintain agentic systems for multi-step workflows across 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 and identify regressions.
• Develop full-stack AI products, including APIs, data models, frontend and backend features, and production operations.
• Use CI/CD, testing, monitoring, user feedback, and telemetry to improve deployed systems.
• Work with product and design partners to prioritize work and define success measures.

Conocimientos

Python

TypeScript/React

AWS

GCP

Databases (SQL/NoSQL)

RAG

Vector databases

Embeddings

Retrieval pipelines

API design

Testing & monitoring

Agent/workflow frameworks

Orchestration tools

Herramientas

CI/CD pipelines

Descripción del empleo

About the Role

Join a product engineering team building agentic systems that automate complex workflows across regulated and enterprise domains. You will ship production LLM services across the stack, with a focus on reliability, safety, and useful outcomes for customers.

What You'll Do

• 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.

What We're Looking For

• 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.

Compensation & Benefits

Base salary: $150,000 to $180,000 annually. Visa sponsorship is not available.

Location

On-site in San Francisco, California, United States.