Forward-Deployed Engineer — AI Agents

Location: Remote (US or Canada)

Experience: 2–4 years preferred

Type: Full-time

At Zudo, we’re building AI workers for the extended service contract industry, starting with automotive and home protection.

This is a massive industry where businesses still rely on manual processes, phone calls, and fragmented software to run critical operations. We’re changing that by building AI agents that execute real workflows — from claims initiation, coverage inquiries, and adjudication to parts research, renewals, and sales.

We’re not interested in building AI demos. We’re building production‑ready AI systems that get real work done and create measurable business value.

We’re looking for a Forward-Deployed Engineer who can combine strong technical skills, exceptional problem‑solving, and an ability to work directly with customers.

You’ll work with customers to understand how their businesses operate, identify opportunities for AI automation, and independently design, build, deploy, and continuously improve AI‑powered solutions.

You’ll own the entire lifecycle: customer discovery, solution architecture, engineering, deployment, security, evaluation, and iteration.

This isn’t a role where someone hands you a detailed specification and tells you what to build. We expect you to figure out what matters, make decisions, move quickly, and take ownership of the outcome.

You’ll work directly with our founders and customers, with significant autonomy over how you solve problems.

• Work directly with enterprise customers to understand their workflows, operational bottlenecks, and business priorities.
• Break down ambiguous problems and translate them into practical AI‑powered solutions.
• Identify opportunities where AI can improve efficiency, customer experience, and revenue.

• Design, build, and deploy AI agents that execute real business workflows.
• Develop integrations with APIs, databases, and existing enterprise software.
• Build and optimise LLM‑powered applications, including agentic workflows and voice AI.
• Evaluate models, develop testing frameworks, and improve reliability, latency, and performance.
• Apply prompting, retrieval, and LLM fine‑tuning when appropriate to improve performance on specific tasks.

• Architect, deploy, and manage AI applications on cloud infrastructure such as AWS, GCP, or Azure.
• Implement appropriate security practices, including encryption, access controls, secrets management, and secure handling of customer data.
• Work with customers’ IT and security teams to understand and satisfy security requirements.
• Complete technical security questionnaires, prepare supporting documentation, and help customers navigate vendor security reviews.
• Ensure deployments are reliable, secure, scalable, and suitable for production use.

• Take responsibility for the success of each deployment, not just shipping code.
• Monitor performance, troubleshoot issues, and continuously improve solutions.
• Build strong relationships with customers through clear communication, responsiveness, and execution.
• Proactively identify opportunities to solve additional customer problems and expand the value Zudo delivers.

• Approximately 2–4 years of professional experience in software engineering, technical consulting, solutions engineering, or a similarly technical role.
• Strong programming skills, preferably Python, Type Script, or equivalent.
• Solid understanding of software engineering, APIs, databases, and cloud infrastructure.
• Familiarity with LLMs, AI agents, model evaluation, and approaches to model customization, including fine‑tuning.
• Understandi…