AI Engineer — Agentic Systems & RAG (On-site SF)

Clera; San Francisco (CA); On-site; USD 180,000 - 400,000; Full time

Benefits offered by this job

Health insurance

Job summary

Clera in San Francisco is seeking a software engineer to join a small, fast-moving core product team at a pre-seed AI startup building agentic systems that automate complex workflows across regulated domains. You will own meaningful slices from data model to deployment and ship AI-driven experiences that create real user impact.

You will design and maintain agentic systems, own RAG pipelines and tooling, implement orchestration and memory components, and develop evaluation and safety

Qualifications

• 2–8 years of software engineering experience shipping user-facing or backend products.
• Hands-on production experience deploying LLM-based services, including prompt design, orchestration, and tool integration.
• Proficiency in Python and TypeScript/React, plus cloud platforms (AWS/GCP) and databases.
• Experience with RAG patterns, vector databases, embeddings, and retrieval pipelines.
• Experience building tests, evaluations, and monitoring for AI systems in production.
• Experience designing API-driven, high-throughput systems and real-time features.
• Familiarity with agent/workflow frameworks (e.g., LangGraph, CrewAI) and orchestration tools (e.g., Temporal, Trigger).
• Background in multi-tenant or enterprise-ready systems, or experience in regulated industries such as healthcare, fintech, or legal, is a plus.
• Ownership mindset — comfortable driving features from conception through deployment and monitoring with a pragmatic, user-centric approach.

Responsibilities

• Design, build, and maintain agentic systems automating multi-step workflows across regulated domains.
• Own production RAG pipelines and vector databases for domain-specific search at scale.
• Implement multi-agent orchestration, tool-calling, memory, and reasoning components.
• Develop evaluation and safety infrastructure to measure model performance and reliability.
• Ship full-stack AI products from MVP to enterprise-grade, including API design, frontend/backend, CI/CD, monitoring.
• Collaborate with founders, product, and design to prioritize work and define success metrics.

Skills

LLM deployment

Full-stack Python/TS React

Cloud platforms (AWS/GCP)

RAG patterns / vector DBs

Testing & monitoring AI systems

APIs / high-throughput systems

Agent/workflow frameworks

Enterprise-ready systems (regulated)

Ownership mindset

Tools

LangGraph

CrewAI

Temporal

Trigger

Vector databases

Job description

Clera in San Francisco is seeking a software engineer to join a small, fast-moving core product team at a pre-seed AI startup building agentic systems that automate complex workflows across regulated domains. You will own meaningful slices from data model to deployment and ship AI-driven experiences that create real user impact.

You will design and maintain agentic systems, own RAG pipelines and tooling, implement orchestration and memory components, and develop evaluation and safety