Forward Deployed Engineer

We are seeking a Forward Deployed Engineer (FDE) who operates at the crossroads 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-driven solutions, and integrate these innovations into real-world workflows. Your work will transform customer feedback into scalable product features. This position requires a versatile engineer comfortable moving seamlessly from customer discussions to technical architecture, prototyping, and 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 customer requirements into practical, scalable technical solutions.
- Design, build, test, and deploy production-grade applications and AI-powered systems.
- Rapidly develop prototypes and proof-of-concepts to validate ideas.
- Integrate large language models (LLMs), AI agents, APIs, databases, and enterprise systems.
- Build integrations with platforms such as CRM, ERP, DevOps, cloud services, data tools, and collaboration software.
- Deploy solutions within customer environments and troubleshoot production issues.
- Collaborate with product and engineering teams to transform recurring customer needs into core product capabilities.
- Own the entire 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 showcase additional product value.
- Build applications utilizing modern AI/LLM technologies, including working with LLM APIs, retrieval-augmented generation (RAG), vector databases, AI agents, tool calling, evaluation frameworks, and AI orchestration.
- Develop reliable AI workflows with monitoring, testing, security, and guardrails.
- Build backend services and APIs necessary to operationalize AI solutions.
- Employ cloud platforms and modern deployment methodologies.
- Understand software architecture, databases, authentication, APIs, microservices, and distributed systems.
- Rapidly evaluate emerging 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.
- Strong programming skills in Python, JavaScript/TypeScript, Java, Go, or similar languages.
- Proven experience building and deploying production applications.
- Solid understanding of APIs, databases, cloud platforms, and software architecture.
- Experience working directly with customers or enterprise stakeholders.
- Excellent problem-solving abilities and comfort working with ambiguous requirements.
- Strong communication and presentation skills.
- Ability to work independently and rapidly move from concept to implementation.
- Deep understanding of modern AI/LLM capabilities and limitations.

Preferred Qualifications and Benefits

- Experience building AI agents, RAG systems, copilots, or LLM-powered applications.
- Familiarity with AI platforms such as OpenAI, Anthropic, Gemini, or other leading AI APIs.
- Experience with cloud providers like AWS, Azure, or Google Cloud Platform.
- Knowledge of containerization and orchestration tools such as Docker and Kubernetes, along with CI/CD and modern DevOps practices.
- Experience integrating enterprise platforms such as Salesforce, ServiceNow, SAP, Microsoft, Jira, GitHub, or similar.
- Startup experience involving multiple roles and responsibilities.
- Background working with Fortune 500 or large enterprise customers.
- Experience in consulting, professional services, solutions architecture, or technical implementation.
- Proven ability to take prototypes into production environments.

The ideal candidate is a builder who does not wait for perfect specifications. You can engage with customers to understand their problems, sketch solutions, build working prototypes, gather feedback, and deliver production-ready software. You are equally comfortable engaging with executives, writing code, designing APIs, configuring LLMs, debugging production issues, and presenting solutions. You thrive in fast-paced environments and enjoy tackling problems without obvious answers.

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

This position offers the 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.