Forward Deployed Engineer

Overview

Software engineer who can work directly with customers to understand complex operational problems, design pragmatic solutions, and ship production-grade software quickly.

This role combines strong backend engineering with customer-facing deployment work, AI-enabled product building, and hands-on execution. The candidate must be comfortable moving between technical implementation, workflow design, and stakeholder collaboration.

Responsibilities

• Work directly with customers to understand operational pain points and translate them into deployable software solutions.
• Design and build custom tools, workflows, and product extensions for high-priority customer use cases.
• Own implementations end to end, from discovery and prototyping to deployment and iteration.
• Use LLMs and agent-based coding tools to accelerate development where appropriate, while maintaining engineering quality and reliability.
• Define clear prompts, constraints, and system structures for agent-assisted development.
• Build backend services, APIs, and integrations required for customer deployments.
• Connect internal systems with third-party platforms and customer environments.
• Handle failures, retries, observability, and production debugging across deployed solutions.
• Partner closely with technical and non-technical stakeholders to drive adoption and measurable outcomes.
• Improve repeatability by turning one-off deployments into reusable patterns, tools, and internal best practices.

Must Have

• 3 to 6 years of hands-on software development experience.
• Strong backend development skills in Python, Node.js, or similar.
• Experience building APIs, integrations, and production services.
• Proven ability to work directly with users or customers to scope and deliver technical solutions.
• Demonstrable experience using LLMs in software development workflows.
• Practical experience with agent-based coding tools such as Codex, Claude Code, or equivalent.
• Strong debugging and systems thinking.
• Ability to structure ambiguous problems and move from problem definition to shipped solution.
• Experience with Docker and modern deployment workflows.
• Professional level of English.

Nice to Have

• Experience in solutions engineering, forward deployment, implementation engineering, or technical consulting.
• Experience embedding with enterprise customers or operating in client environments.
• Experience building AI-enabled internal tools or workflow automation systems.
• Strong prompt engineering and evaluation instincts.
• Experience with authentication, data flows, and enterprise integrations.
• Familiarity with CI/CD, monitoring, and production operations.