This is a mid-level AI Engineer position on the core product team at a pre-seed AI startup, building agentic systems that automate complex, multi-step workflows across regulated and enterprise domains. You will work across the full stack to ship production LLM-based services, own reliability and safety infrastructure, and collaborate closely with founders and design to deliver measurable user impact.
Design, build, and maintain agentic systems that automate multi-step workflows across domains such as healthcare, legal, fintech, logistics, and compliance.
Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale.
Implement multi-agent orchestration, tool-calling, memory, and reasoning components to deliver robust AI-driven user experiences.
Develop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise-level trust and reliability.
Ship full-stack AI products from MVP to enterprise-grade by designing APIs and data models, implementing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing.
Collaborate with founders, product, and design to prioritize work, define success metrics, and iterate based on user feedback and telemetry.
2 to 8 years of software engineering experience with a track record of shipping user-facing or backend products, ideally in a startup environment.
Hands-on production experience deploying LLM-based services, including prompt design, orchestration, and tool integration.
Full-stack proficiency in Python and TypeScript/React (or equivalent), plus experience with cloud platforms (AWS or GCP) and relational or NoSQL databases.
Working knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines, with sound judgment on when to apply each.
Experience building automated tests, evaluations, and monitoring for AI systems to ensure production reliability beyond demos.
Familiarity with agent or workflow frameworks such as LangGraph or CrewAI, and orchestration tools such as Temporal or Trigger.
Background in multi-tenant or enterprise-ready systems, or experience in regulated industries such as healthcare, fintech, or legal.
Experience designing API-driven, high-throughput systems and real-time product features.
An ownership mindset: comfortable delivering end-to-end features from data model to deployment and monitoring.
Salary range: $180,000 to $400,000 USD annually (inclusive of equity component). Visa sponsorship is not available for this role.
On-site in San Francisco, California, United States. Candidates should be able to work in-office or willing to relocate.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Clera is a fast-growing AI start-up that is rethinking the way top talents find their next dream jobs. By automating and optimizing processes within the $600B global headhunting industry.