Clera Mid-Level AI Engineer at Clera building and operating production AI services focused on reliability, safety, and user impact. Designs agentic systems and retrieval-augmented generation pipelines across regulated industries.
Responsibilities
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.
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.
Qualification
Working knowledge of RAGExperience building automated testsExperience designing API-driven
Required
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.
Preferred
Familiarity with agent or workflow frameworks and orchestration tools
Experience with fine-tuning or multimodal models
Experience with multi-tenant or enterprise systems
Experience in regulated industries such as healthcare, fintech, or legal
