Mid-Level AI Engineer

San Franciscofull time

On Site

mid

$150k–$180k

H1B: no

Clera Mid-Level AI Engineer at Clera to build agentic systems automating complex workflows across regulated and enterprise domains. Responsible for designing and maintaining multi-agent orchestration, retrieval-augmented generation pipelines, and full-stack AI products with production deployment.

Responsibilities

Join the core product team at a growing AI SaaS company to build agentic systems that automate complex workflows across regulated and enterprise domains. You will work across the stack to deliver reliable, production-ready AI services and user experiences.
Design and maintain agentic systems that automate multi-step workflows across healthcare, legal, fintech, logistics, and compliance.
Build production retrieval-augmented generation pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing.
Implement multi-agent orchestration, tool calling, memory, and reasoning components.
Develop evaluation and safety infrastructure to measure performance, detect regressions, and support reliable enterprise use.
Ship full-stack AI products by designing APIs and data models, writing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing.
Work with product and design partners to prioritize work, define success metrics, and iterate using user feedback and telemetry.

Qualification

Working knowledge of RAGExperience building automated testsExperience designing API-driven

Required

Two to eight years of software engineering experience delivering user-facing or backend products.
Broad production AI and ML engineering experience, including deployment of LLM services, prompt design, orchestration, and tool integration.
Proficiency with Python and TypeScript/React or equivalent, plus cloud platforms 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 with agent or workflow frameworks and orchestration tools, such as LangGraph, CrewAI, Temporal, or Trigger.
Experience designing API-driven, high-throughput systems and real-time product features, with end-to-end ownership from data model through deployment and monitoring.
Enterprise or multi-tenant system experience, or experience in regulated industries such as healthcare, fintech, or legal, is valuable. Familiarity with fine-tuning or multimodal models is also useful.

Preferred

Enterprise or multi-tenant system experience
Experience in regulated industries such as healthcare, fintech, or legal
Familiarity with fine-tuning or multimodal models

Company

Clera

View company page

Source: ashby

Active within the past hour

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