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AI Engineer (Mid-Level)

On-site
CleraSan Francisco, CA, US1 day agoWebsite
Fresh
Full-time
Engineering

Compensation

Salary undisclosed
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Description

About the Role

This is a mid-level AI Engineer position on the core product team at a pre-seed AI startup in the recruitment technology space. You will build agentic systems that automate complex, multi-step workflows across regulated and enterprise domains, working closely with founders and design to ship production-grade LLM-powered experiences that create real user impact.

What You'll Do

  • 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 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.

What We're Looking For

  • 2 to 8 years of software engineering experience with a track record of shipping user-facing or backend products.

  • Hands-on AI/software engineering background, with practical production experience deploying LLM 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 in choosing appropriate approaches.

  • Experience building automated tests, evaluations, and monitoring for production AI systems.

  • Experience designing API-driven, high-throughput systems and real-time product features.

  • Comfort operating in an early-stage startup environment with a bias toward ownership and cross-functional collaboration.

  • Familiarity with agent or workflow frameworks (such as LangGraph or CrewAI) and orchestration tools (such as Temporal or Trigger) is a plus.

  • Experience with multi-tenant or enterprise-ready systems, or regulated industries such as healthcare, fintech, or legal, is a plus.

Compensation & Benefits

Salary range: $180,000 to $400,000 USD annually. Visa sponsorship is not available for this role.

Location

On-site in San Francisco, California, United States. Candidates must be able to work on-site or willing to relocate.

Stack

LLMsPythonEmbeddingsLangGraphGCPTypeScriptCI/CDReactCrewAIAgentic AIVector DatabasesAWSRAG
Posted
Sep 19, 2026
Last seen
Sep 19, 2026
First seen
Sep 19, 2026

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