Solutions Engineer / Forward Deployed Engineer

Canaan Partners

Mountain View (CA)

On-site

USD 100,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Collaborative work environment
Opportunity for innovation and growth

Job summary

A cutting-edge AI voice technology firm is seeking an integration engineer who will manage enterprise integrations from proof of concept to production. The successful candidate will effectively use GenAI tools for coding and documentation, and must be experienced with Python, Linux, and APIs. This role demands customer-facing communication skills and the ability to operate in ambiguous situations, making it ideal for entrepreneurial spirits. The position offers an opportunity to influence the future of AI-driven technology.

Qualifications

  • Strong experience with GenAI tools for coding, debugging, and documentation.
  • Mid–Senior+ level expertise in relevant technical fields.
  • Proficient in Python scripting and APIs.
  • Comfortable with Linux environments and modern deployment patterns.

Responsibilities

  • Own technical success for enterprise integrations from POC to production.
  • Integrate detection into customer workflows using APIs and pipelines.
  • Generate sample code and documentation using GenAI tools.
  • Build reference architectures and automated test harnesses.
  • Debug issues in real environments and partner with product teams.

Skills

GenAI product fluency
Python
APIs
Linux
Kubernetes
Customer-facing skills
Entrepreneurial mindset

Education

Technical background (Software Engineer, SRE, etc.)

Job description

About the Company

Resemble AI is at the cutting edge of Generative Voice AI, creating immersive and innovative voice solutions that transform how we interact with technology. Our products empower creators and businesses to bring a new level of authenticity and engagement to their digital interactions, from virtual assistants to personalized content in multiple languages.

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

Why Join Us?
  • Be part of a cutting-edge company that is shaping the future of AI-driven speech technology.

  • Work with a talented and passionate team dedicated to innovation and excellence.

  • Enjoy a collaborative and inclusive work environment that fosters creativity and growth.

  • Contribute to the development of technologies that have a real impact on AI security and the prevention of deepfake misuse.

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