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Forward Deployed Engineer

San Francisco

SpringCube

Full-time - Senior Engineer

IT Services & Consulting

Posted 6 hours ago

Disclosed upon interview

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Job Description

This job was selected by the SpringCube team to help AI, Data and Cloud Engineers discover relevant San Francisco Bay Area employers. Sign up to view the full employer details and apply directly with the hiring company.

Company Overview

The organization develops AI-powered solutions that help essential services businesses modernize operations, automate complex workflows, and increase revenue. Its platform enables businesses to adopt AI-first operating models, bringing advanced artificial intelligence into real-world service industries. The team consists of experienced engineers and builders focused on solving complex technical challenges and delivering measurable business impact.

Job Description

The Forward Deployed Engineer plays a key role in building and deploying AI systems that transform how essential services businesses operate. This position combines advanced AI engineering, customer collaboration, and end-to-end product implementation. The engineer develops autonomous AI agents capable of handling complex business operations while ensuring reliability, scalability, and measurable customer outcomes.

Responsibilities

  • Architect AI Agents: Build and deploy multimodal AI agents that deliver measurable business impact for essential services organizations.
  • Collaborate with Customers: Work directly with enterprise stakeholders to understand business workflows, identify opportunities for automation, and implement solutions that improve revenue and operational efficiency.
  • Manage End-to-End Delivery: Own the complete implementation lifecycle, from design and development to deployment, performance measurement, and continuous improvement.
  • Ensure Scalability and Reliability: Develop dependable systems capable of supporting thousands of concurrent interactions while maintaining strong performance.
  • Conduct Rapid Experiments: Evaluate advanced text and voice models, fine-tune models, conduct live A/B tests, and iterate based on feedback and performance results.
  • Improve the Platform: Identify recurring customer needs, technical patterns, and opportunities to inform product development and engineering priorities.

Qualifications

  • Production Engineering Experience: At least 2 years of experience building and maintaining production systems using Python, including asyncio and FastAPI, and TypeScript, including Node.js and React.
  • AI Systems Expertise: Hands-on experience with large language models (LLMs), text-to-speech (TTS), speech APIs, model fine-tuning, vector databases, retrieval-augmented generation (RAG), and evaluation frameworks.
  • Performance Optimization: Ability to meet service-level agreements (SLAs), troubleshoot production issues, and optimize systems for speed, reliability, and performance at scale.
  • Monitoring and Infrastructure: Experience building production monitoring and debugging systems across cloud infrastructure and databases.
  • Customer-Focused Problem Solving: Comfortable working directly with customers to troubleshoot issues, understand edge cases, and deliver effective solutions quickly.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals globally.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a specialist career platform for AI, Data & Cloud Engineering professionals, connecting top ML, data, and cloud talent with leading tech employers hiring across the San Francisco Bay Area.

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Company & Contact

SpringCube Tech Jobs Pte Ltd
  • 10 Anson Road #33-04A
    International Plaza
    Singapore 079903
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