Senior AI Solutions Engineer — Deployments & Equity

Qurrent; San Francisco (CA); On-site; USD 150,000 - 220,000; Full time

Benefits offered by this job

Equity upside

Excellent benefits

Growth opportunities

Job summary

Qurrent in San Francisco is seeking a Forward Deployed Engineer to design, implement, and deliver AI-agent solutions for enterprise customers. You will collaborate with clients to understand needs and build autonomous Python applications using LLMs to create reliable multi-agent workflows.

You will own end-to-end delivery from discovery to deployment and ongoing support, re-engineer business processes for AI integration, and craft compelling demos for presales.

Qualifications

• 6+ years of experience building complex technical projects in Python, preferably in applied AI or related tech sectors.
• Technical fluency in AI, LLMs, Machine Learning and at least one major cloud (AWS, GCP, Azure).
• Strong understanding of AI concepts including RAG, agentic workflows, fine tuning, or other LLM-based tools.

Responsibilities

• Leverage cutting-edge LLMs to build reliable systems of multi-AI agent workflows.
• Lead end-to-end lifecycle of AI solution delivery from needs assessment to deployment and support.
• Write Python applications to deliver on project requirements on time and within budget.
• Partner with customers to re-engineer business processes for AI integration.
• Utilize expertise in AI tools and LLMs to create bespoke AI solutions as part of the engineering team.
• Develop and present demos for presales meetings to communicate solution value.

Skills

Python

AI/LLMs

Clouds (AWS/GCP/Azure)

Full-stack development

Production ML/AI

Pre-sales demos

Job description

Qurrent in San Francisco is seeking a Forward Deployed Engineer to design, implement, and deliver AI-agent solutions for enterprise customers. You will collaborate with clients to understand needs and build autonomous Python applications using LLMs to create reliable multi-agent workflows.

You will own end-to-end delivery from discovery to deployment and ongoing support, re-engineer business processes for AI integration, and craft compelling demos for presales.