Mid-Level AI Engineer

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

Job summary

Clera Labs, Inc. in San Francisco, CA is hiring a software engineer to help build agentic AI systems that automate complex workflows for regulated industries. You will design, implement and operate production AI services with a focus on reliability, safety and user impact.

You will work on multi-step workflows, retrieval-augmented generation pipelines, and API-driven features, collaborating with product and design to iteratively improve value from telemetry and tests.

Qualifications

• 2–8 years of software engineering experience delivering production user-facing or backend products.
• Production AI/ML engineering experience, including deployment of LLM services, prompt design, orchestration, and tool integration.
• Proficiency in Python and TypeScript/React; cloud experience with AWS or GCP; 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.
• Familiarity with agent or workflow frameworks and orchestration tools.
• Experience with multi-tenant or enterprise systems, or in regulated industries such as healthcare, fintech, or legal.

Responsibilities

• Design and maintain agentic systems for multi-step workflows across healthcare, legal, fintech, logistics, and compliance.
• Build and operate retrieval-augmented generation pipelines, including vector databases, embeddings, indexing, and domain-specific search.
• Develop multi-agent orchestration, tool-calling, memory, and reasoning components.
• Create evaluation and safety infrastructure to track model performance, identify regressions, and support reliable enterprise use.
• Ship full-stack AI products by designing APIs and data models, implementing frontend and backend code, and operating production systems.
• Support CI/CD, monitoring, and testing, and collaborate with product and design to prioritize work and iterate using user feedback and telemetry.

Skills

AI/ML engineering

Full-stack development

Testing & monitoring

API-driven systems

Regulated industries experience

Multi-agent orchestration

System design

Security & reliability

Tools

Python

TypeScript/React

AWS

GCP

Vector databases

Embeddings

RAG

CI/CD tooling

Telemetry

Job description

About the Role

Join the core product team at a pre-seed B2B SaaS company building agentic systems to automate complex workflows across enterprise and regulated industries. You will build and operate production AI services, with a focus on reliability, safety, and practical user impact.

What You'll Do

• Design and maintain agentic systems for multi-step workflows across healthcare, legal, fintech, logistics, and compliance.

• Build and operate retrieval-augmented generation pipelines, including vector databases, embeddings, indexing, and domain-specific search.

• Develop multi-agent orchestration, tool-calling, memory, and reasoning components.

• Create evaluation and safety infrastructure to track model performance, identify regressions, and support reliable enterprise use.

• Ship full-stack AI products by designing APIs and data models, implementing frontend and backend code, and operating production systems.

• Support CI/CD, monitoring, and testing, and collaborate with product and design to prioritize work and iterate using user feedback and telemetry.

What We're Looking For

• Two to eight years of software engineering experience delivering production user-facing or backend products.

• Broad production AI/ML engineering experience, including deployment of LLM services, prompt design, orchestration, and tool integration.

• Full-stack proficiency with Python and TypeScript/React or equivalent, plus cloud experience with 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.

• Familiarity with agent or workflow frameworks and orchestration tools is useful, as is experience with fine-tuning or multimodal models.

• Experience with multi-tenant or enterprise systems, or in regulated industries such as healthcare, fintech, or legal, is valued.

Compensation & Benefits

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

Location

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