Mid-Level AI Engineer
San Francisco · hoy
Diseñarás y mantendrás sistemas agénticos basados en LLM y pipelines de generación aumentada por recuperación, y construirás infraestructura de evaluación y seguridad para servicios de IA en producción. También desarrollarás productos de IA full-stack y apoyarás CI/CD y monitorización.
- Modalidad
- Presencial
- Nivel
- Intermedio
- Salario
- 150K USD/año - 180K USD/año
- Experiencia
- 2+ años
- Equipo
- Engineering
- Patrocinio de visado
- No disponible
Skills
Sobre el puesto
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.
Publicada el 8 nov 2026
