Forward Deployed Engineer

BackOps

San Francisco (CA)

Hybrid

USD 140,000 - 190,000

Full time

14 days+

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Job summary

BackOps AI in the San Francisco Bay Area is seeking a Forward Deployed Engineer to join at the intersection of engineering, customer partnership, and real-world operations. This hybrid, end-to-end role sits close to customers, deploying adaptive AI-driven systems and evolving them with the business.

You'll build production-ready apps connecting our AI platform to customer infrastructure, translate field insights into product improvements, and own deployments from discovery to live operation.

Qualifications

  • Experience building full-stack applications in Python/JavaScript.
  • Proven ability to work with customers or partners.
  • Thrives in fast-paced startup environments.

Responsibilities

  • Understand real-world workflows with customers and operators.
  • Translate insights into system behavior and product improvements.
  • Design and deploy adaptive AI agents that evolve with client environments.
  • Build production-ready applications connecting the AI platform to customer infra.
  • Create demos and workflows showing how agents solve operational problems.
  • Debug edge cases in live deployments and turn learnings into product intelligence.
  • Ensure reliability, safety, and performance of AI agents in high-stakes settings.
  • Foster long-term customer relationships and ownership of deployments.

Skills

Full-stack development
Customer-facing
Startup experience
Excellent communication

Tools

Python
JavaScript

Job description

ABOUT BACKOPS AI

BackOps AI transforms supply-chain operations with agentic AI that automates complex workflows, freeing teams to focus on what matters most. Headquartered in the San Francisco Bay Area, we foster a culture of innovation, ownership, and measurable impact.

ROLE OVERVIEW

We’re hiring a Forward Deployed Engineer to sit at the intersection of engineering, customer partnership, and real-world operations at BackOps. This role works directly with customers and operators to deploy adaptive, AI-driven systems into live environments—and evolve them alongside the business.

This is a hybrid role for builders who love both systems and people. You’ll operate close to the customer, tackle real-world complexity, and see the immediate impact of your work in production.

What You’ll Do
  • Partner deeply with customers and operators to understand real-world workflows and operational complexity.
  • Translate on-the-ground insights into system behavior and product improvements.
  • Scope, design, and deploy adaptive AI agents that evolve with customer environments.
  • Build and integrate production-ready applications that connect our AI platform to customer infrastructure.
  • Develop demos, prototypes, and workflows that showcase how adaptive agents solve real operational problems.
  • Debug edge cases in live deployments and turn learnings into actionable product intelligence.
  • Ensure reliability, safety, and performance of AI agents operating in fast-moving, high-stakes environments.
  • Build trusted, long-term customer relationships where both you and the deployed systems grow alongside the customer.
  • This is neither a pure engineering role nor a pure consulting role—it’s a high-ownership, end-to-end role built for curiosity, adaptability, and impact.
What We’re Looking For
  • Strong full-stack development skills (Python, JavaScript, or similar).
  • Experience in customer-facing, client delivery, or partner-facing roles.
  • Ability to thrive in fast-moving, resource-constrained, startup environments.
  • Fast learner who can adapt quickly to new tools, domains, and requirements.
  • High ownership mindset with the ability to take problems from discovery through deployment.
  • Excellent communication skills with both technical and non-technical stakeholders.
Nice to Have
  • Experience deploying LLMs, multimodal models, or generative AI systems.
  • Background in NLP, agentic systems, or multi-agent architectures.
  • Experience in sales engineering, pre-sales, or customer success engineering.
  • Exposure to operationally complex industries (logistics, hospitality, retail, supply chain, etc.).
  • Strong empathy and curiosity for understanding how real businesses operate.Comfort working in environments where requirements evolve week to week.
Why BackOps
  • Deploy AI systems into real-world operations with immediate, visible impact.
  • Work at the frontier of adaptive, agent-based AI in production environments.
  • Partner directly with customers and founders on meaningful problems.
  • Join a small, high-performing team with significant ownership and autonomy.
  • Backed by exceptional investors and advisors.
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