Note: The job is a remote job and is open to candidates in USA. Sermo is hiring a Forward Deployed AI Engineer to redesign its survey lifecycle around AI agents. The role embeds with Delivery and Operations to build, deploy, and improve agent-first workflows for vendor engagement, survey creation and translation, and fielding and audience targeting.
Responsibilities
- Embed with Delivery and Operations to map the survey lifecycle end to end, including tools, handoffs, exceptions, approvals and bottlenecks, and set a measurable baseline
- Redesign each workflow agent-first and build it: document extraction, structured outputs, routing, agentic task execution, and integrations through APIs, webhooks and automation tools
- Connect workflows to Sermo's homegrown survey platforms and Salesforce, working with internal engineers on deeper platform changes
- Design human-in-the-loop controls for every production workflow: approval checkpoints, review queues, guardrails, audit trails and exception handling
- Build evaluations and monitoring, and track adoption, response rates, turnaround and time saved against the baseline
- Document systems, workflow logic, prompts and operating procedures so the team can run and improve them
- Identify and prioritize the next AI opportunities across Delivery
Skills
- 5+ years of software engineering, including 2+ years building and deploying AI-powered workflows, agents or automation in production business environments, not only prototypes
- A completed agent-first redesign of a real business workflow that you can walk through: the baseline, the redesign, what people still do, and the measured result
- Hands-on LLM experience with document extraction, classification, structured outputs, workflow routing and agentic task execution, plus evaluation of non-deterministic systems
- Production engineering in Python and at least one typed language, with experience integrating CRMs, internal tools, APIs and data systems
- Experience building human approvals, review queues, exception handling and quality controls into production systems
- A proven ability to work directly with non-technical operators and turn complex workflows into tools they use, working from directional guidance and influencing stakeholders you don't manage
- Strong written and spoken English, and professional Spanish fluency, since you'll work closely with Delivery stakeholders in Mexico
- BS in Computer Science or a related field, or equivalent practical experience
- Several redesigns led across different functions, and the judgment to decide which workflows are worth doing next and build the business case for them
- Experience architecting a shared agent platform, evaluation standards or guardrail patterns that other engineers reuse
- A track record of setting direction across teams and influencing senior leaders
- Experience mentoring engineers or helping build an applied AI team, and interest in growing into that role here
- Salesforce, including workflows, data structures, outreach and activity tracking
- C#/.NET, React and TypeScript environments, and connecting AI workflows to homegrown platforms
- Healthcare, market research, survey operations or other regulated, data-sensitive environments
- Multilingual or translation workflows
- Zapier or similar automation platforms, and knowing when a purpose-built agent is the better choice
- LLM observability, prompt and version management, and reliability testing
Company Overview
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