Forward Deployed Engineer

The Forward Deployed Engineer (FDE) role is a new position that implements solutions, working closely with the Forward Deployed Architect (FDA). The FDE builds specs using agentic IDEs and is part of a new squad model that includes a Product Designer, App Engineer, and various agents for tasks like coding, testing, and security.

Your roles & responsibilities:

• Client-facing execution: Work directly with client teams in an embedded/“forward deployed” capacity to understand needs and deliver outcomes.
• Build & configure: Assist with setup and implementation of client systems using approved tools, frameworks, and architectures. Validate, review, and refine AI-generated outputs to ensure quality, security, maintainability, and client suitability.
• Troubleshoot & debug: Identify root causes of technical issues and implement fixes or workarounds while escalating when needed.
• System Integration: Build and support integrations between client systems, SaaS platforms, APIs, data sources, and cloud services.
• Support deployments: Help with application and infrastructure deployment activities (e.g., CI/CD pipelines, release tasks, environment configuration).
• Automation & scripts: Create or modify scripts to streamline workflows (e.g., data validation, deployment checks, monitoring setup).
• Monitoring & reliability: Support the setup of telemetry/alerts and help verify that systems are healthy after changes.
• Documentation: Maintain clear technical documentation (runbooks, post-incident notes, architecture notes, and handover guides).
• Collaboration: Partner with consultants, solution architects, and senior engineers to deliver consistent results.
• Continuous improvement: Recommend improvements to processes, tooling, and patterns based on observed client needs.

Required Experience:

• Bachelor’s degree in Computer Science, Engineering, or related field OR equivalent practical experience.
• 0–2 years of professional engineering experience (internships and project experience can count).
• Proficiency with at least one of the following areas: Backend development (e.g., Java, Python, Node.js, Go, C#); Cloud platforms and infrastructure basics (e.g., AWS, Azure, or GCP); DevOps/automation fundamentals (e.g., CI/CD, scripting, containers)
• Basic understanding of networking, APIs, and web/application troubleshooting.
• Familiarity with common development and operational practices: Git-based workflows; Testing fundamentals; Logging and debugging
• Strong communication skills and willingness to work closely with client stakeholders.
• Ability to learn quickly and adapt to new technologies and environments.

• Previous experience on using different types of LLM and skillsets on prompt tuning against different LLMs and/or agentic platform would be a plus.