Solutions Engineer / Forward Deployed Engineer

Resemble AI

$120K — $145K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Strong understanding of Generative AI tools for coding and debugging tasks.
  • Mid-senior level experience in software engineering or related roles.
  • Proficient in Python and comfortable with APIs for integrations.
  • Familiar with Linux, containers, and modern deployment methods.
  • Strong communication skills for customer-facing interactions.
  • Ability to handle ambiguity and drive effective outcomes.

Responsibilities

  • Own technical success for enterprise integrations from proof of concept to production rollout.
  • Integrate detection systems into customer engineering workflows using various technologies.
  • Utilize GenAI tools for enhancing integration documentation and customer support materials.
  • Develop repeatable integration kits, including reference architectures and automated tests.
  • Troubleshoot technical issues in real-world environments involving logs and networking.
  • Collaborate with product and engineering teams to translate customer challenges into product improvements.

Benefits

  • Be part of a leading-edge company in AI-driven speech technology.
  • Collaborate with a passionate and innovative team.
  • Enjoy a supportive and inclusive work environment.
  • Contribute to impactful technologies in AI security and deepfake prevention.
Full Job Description
What you'll do
  • Own technical success for enterprise integrations: take customers from first POC  production rollout  expansion.
  • Embed with customer engineering teams to integrate detection into their workflows (APIs, batch pipelines, real-time streams, call-center tooling, SIEM/SOC flows, etc.).
  • Use GenAI tools to accelerate integration work: generate/refine sample code, SDK snippets, configs, runbooks, troubleshooting guides, and customer-facing docs-while validating outputs and protecting sensitive info.
  • Build repeatable integration kits: reference architectures, Helm charts / deployment templates, sample apps, and automated test harnesses.
  • Debug issues in real environments: logs, networking constraints, certs, proxies, SSO, and on-prem realities.
  • Partner with product/engineering to turn customer friction into roadmap, and advocate for the highest-leverage fixes.

What we're looking for
  • Strong GenAI product fluency (top priority): you routinely use GenAI tools to move faster across coding + debugging + docs; you know how to verify correctness, avoid hallucinations, and handle sensitive customer data safely.
  • Mid-Senior+ technical background (software engineer, SRE, solutions engineer, implementation engineer, or similar).
  • Strong in Python and APIs (comfortable writing scripts, small services, and integration glue).
  • Comfortable with Linux, containers, and modern deployment patterns; Kubernetes/on-prem experience is a big plus.
  • Customer-facing presence: calm, structured communicator who can earn trust with technical stakeholders.
  • Entrepreneurial: you can operate with ambiguity and drive outcomes without waiting for perfect requirements.

Bonus
  • Prior experience shipping enterprise integrations (telco/security/fraud/trust & safety domains are extra relevant).
  • Experience building developer enablement: docs, reference implementations, workshops.

Interview scorecard (what great looks like)
  • Customer execution: drives POC  production; structured updates; handles ambiguity
  • Technical depth: strong debugging in Linux environments; API + Python competence
  • Deployment fluency: containers/K8s/on-prem patterns; understands enterprise constraints
  • Communication: clear, proactive, writes strong docs/runbooks, collaborates well

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