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Solutions Engineer

Junior Cloud DevOps Engineer (Remote)💼 Full-time💰 $45–$45🗓 2026-07-25

Core

Design and optimize AI agentic workflows and prompt logic to automate financial infrastructure and improve customer experience in the insurance industry.

Role type

Solutions Engineer (AI Automation & Prompt Engineering)

Builds

Scalable, high-accuracy AI automation systems and internal tooling for customer onboarding.

Domain

Insurance / Financial Services / AI Automation

Deliverable

production ML models | product features

Required skills

Prompt engineering, AI agent development, analytical problem-solving, system design, data analysis, stakeholder collaboration

Preferred skills

Large language models (LLMs), automation workflows, complex system troubleshooting

Technologies

AI agents, LLMs, internal automation tooling

Responsibilities

Build, test, and refine prompts that power AI agents; Design systems enabling scalable iteration on prompt workflows; Partner with teams to improve testing and monitoring processes; Support customer onboarding through tooling improvements; Track and analyze AI workflow accuracy metrics; Build reusable playbooks and prompt strategies

Seniority

Mid-level, hands-on IC

Rewrite
## About the Role Ascend is hiring a Solutions Engineer (Contract) to take full ownership of critical AI agentic workflows. You'll shape how automation powers the insurance industry—improving accuracy, scalability, and customer experience at every step. You'll dive deep into complex data problems, fine-tune prompts, and refine systems that power the automation layer behind Ascend's financial infrastructure. This role is a mix of hands-on problem-solving, experimentation, and collaboration with Product, Operations, and Engineering teams to make our automation more reliable and intelligent. This is a contract role based on-site at our San Francisco office, 40 hours per week for six months. ## Responsibilities ### Own and optimize prompt logic - Build, test, and refine prompts that power AI agents using prompt engineering and analytical problem-solving. - Design systems that enable scalable, high-accuracy iteration on prompt workflows. ### Technical implementation & tooling - Partner with internal teams to improve testing, monitoring, and refinement processes. - Support new customer and organization onboarding through internal tooling improvements. - Provide feedback and insights to shape the broader product roadmap. ### Customer & stakeholder collaboration - Work closely with internal and external users to gather context, troubleshoot challenges, and deliver consistent, high-quality results. ### Quality assurance & reporting - Track and analyze AI workflow accuracy metrics, uncovering trends and root causes. - Recommend process improvements to reduce manual work over time. - Build reusable playbooks and prompt strategies to support future automation efforts. ## Why This Role Matters This is a chance to own a critical piece of Ascend's AI-powered automation systems and see your work directly impact product performance, customer satisfaction, and company growth. You'll thrive here if you love solving tough technical problems, moving quickly, and building systems that scale intelligently. This role is perfect for someone who operates at the intersection of data, engineering, and product thinking—and takes pride in turning complexity into clarity. ## What We're Looking For - Exceptional analytical and critical thinking skills, with a track record of breaking down complex problems into actionable solutions. - Experience with prompt engineering, AI agents, or AI-powered automation workflows. - Proven ability to work with complex, real-world systems to identify patterns and improve reliability. - Strong communication skills, with the ability to translate technical concepts for both technical and non-technical audiences. - Bonus: Familiarity with large language models (LLMs) and their applications in automation or data systems. ## Contract Details - **Location**: On-site in San Francisco (SoMa) - **Compensation**: $45 per hour (average working week 40 hours) - **Type**: Contract to hire as a full time software engineer (6 months) *Benefits do not apply until contract positions are converted to full-time (not guaranteed).*
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