Forward Deployed Engineer

We are seeking a Forward Deployed Engineer (FDE) who operates at the intersection of engineering, AI, product development, and enterprise customer engagement. In this role, you will collaborate directly with customers to understand complex business and technical challenges, rapidly develop and deploy AI-powered solutions, and integrate these capabilities into real-world workflows. You will transform customer feedback into scalable product features, moving seamlessly from initial concept and prototyping to production deployment without relying on separate teams for each phase.

Key Responsibilities
- Work closely with enterprise customers to identify and analyze their technical and business needs.
- Translate ambiguous requirements into practical, production-ready technical solutions.
- Design, build, test, and deploy AI-driven applications and prototypes to validate ideas quickly.
- Integrate large language models (LLMs), AI agents, APIs, databases, and enterprise systems.
- Develop integrations with platforms including CRM, ERP, DevOps, cloud services, data tools, and collaboration software.
- Deploy solutions in customer environments and provide ongoing troubleshooting and support.
- Collaborate with product and engineering teams to transform recurring customer needs into core product features.
- Own the technical delivery lifecycle from discovery through deployment and adoption.
- Create reusable frameworks, integrations, and accelerators to streamline future deployments.
- Lead customer workshops, technical demonstrations, architecture discussions, and solution design sessions.
- Communicate complex technical concepts effectively to both engineering teams and senior business stakeholders.
- Identify opportunities to expand customer use cases and demonstrate additional product value.
- Develop AI applications using modern LLM technologies, including working with APIs, retrieval-augmented generation (RAG), vector databases, AI orchestration, and evaluation frameworks.
- Build reliable AI workflows with monitoring, testing, security, and guardrails.
- Develop backend services and APIs to operationalize AI solutions.
- Utilize cloud platforms and modern deployment practices.
- Rapidly assess new AI technologies to determine their potential customer impact.

Required Qualifications
- 3 to 7+ years of professional experience in software engineering, solutions engineering, implementation engineering, or a related technical role.
- Proficiency in programming languages such as Python, JavaScript/TypeScript, Java, Go, or similar.
- Demonstrated experience building and deploying production-grade applications.
- Strong understanding of APIs, databases, cloud platforms, and software architecture principles.
- Experience working directly with customers or enterprise stakeholders.
- Excellent problem-solving skills with the ability to operate effectively under ambiguous requirements.
- Strong communication and presentation skills.
- Ability to work independently and move quickly from concept to implementation.
- Solid knowledge of modern AI and LLM capabilities and limitations.

Preferred Qualifications and Benefits
- Experience developing AI agents, RAG systems, copilots, or LLM-powered applications.
- Familiarity with leading AI APIs such as OpenAI, Anthropic, or Gemini.
- Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
- Knowledge of containerization and orchestration tools such as Docker and Kubernetes, as well as CI/CD and modern DevOps practices.
- Experience integrating enterprise platforms such as Salesforce, ServiceNow, SAP, Microsoft, Jira, or GitHub.
- Background in startup environments requiring versatility and multitasking.
- Experience working with Fortune 500 or large enterprise customers.
- Consulting, professional services, solutions architecture, or technical implementation experience.
- Proven ability to take prototypes through to production deployment.

The ideal candidate is a builder who thrives on moving quickly from problem identification to solution delivery. You are comfortable engaging with customers to understand their challenges, sketching solutions, building prototypes, gathering feedback, and evolving those prototypes into production software. You can seamlessly switch between technical discussions with engineers and strategic conversations with executives. You excel in fast-paced environments and enjoy solving complex problems without clear-cut answers.

Success in this role will be measured by your speed in delivering working solutions, the successful deployment and adoption of those solutions, customer satisfaction, quality and scalability of implementations, creation of reusable capabilities, reduction in deployment time, identification of new customer use cases, and contributions to the core product’s evolution.

This position offers the unique opportunity to work at the forefront of enterprise AI, solving real-world problems alongside customers rather than developing AI in isolation. You will gain significant ownership and cross-functional exposure across AI, engineering, product, enterprise architecture, and customer strategy, with a direct influence on future product development.