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 technologies into real-world workflows. You will transform customer feedback into scalable product features, working independently through every stage—from initial discussions and technical architecture to prototyping and full production deployment. This position requires a hands-on approach and the ability to navigate fluid, cross-functional responsibilities without relying on separate teams.

Key Responsibilities

- Engage directly with enterprise customers to identify and analyze their technical and business needs.
- Translate ambiguous or complex customer requirements into practical, scalable technical solutions.
- Design, build, test, and deploy production-grade applications and AI-driven systems.
- Rapidly develop prototypes and proof-of-concepts to validate ideas and approaches.
- 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 provide ongoing troubleshooting and support.
- Collaborate closely with product and engineering teams to convert recurring customer needs into core product features.
- Own the technical delivery process from discovery through deployment and adoption.
- Develop reusable frameworks, integrations, and accelerators to streamline future deployments.
- Lead customer workshops, technical demonstrations, architecture discussions, and solution design sessions.
- Communicate complex technical concepts clearly to both engineering teams and senior business stakeholders.
- Identify opportunities to expand customer use cases and demonstrate additional product value.
- Build AI applications using modern AI/LLM technologies, including LLM APIs, retrieval-augmented generation (RAG), vector databases, AI agents, tool calling, evaluation frameworks, and orchestration.
- Develop reliable AI workflows with appropriate monitoring, testing, security, and guardrails.
- Build APIs and backend services to operationalize AI solutions.
- Utilize cloud platforms and modern deployment practices.
- Maintain a strong understanding of 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.
- Proficiency in programming languages such as Python, JavaScript/TypeScript, Java, Go, or similar.
- Demonstrated experience building and deploying production applications.
- Strong knowledge of APIs, databases, cloud platforms, and software architecture.
- 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 understanding of modern AI/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, Gemini, or others.
- Experience with cloud platforms like AWS, Azure, or GCP.
- Knowledge of containerization and orchestration tools such as Docker and Kubernetes, as well as CI/CD and modern DevOps practices.
- Experience integrating enterprise platforms including 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 through to production deployment.

This role is ideal for a builder who thrives on moving quickly from problem identification to solution delivery. You will be comfortable engaging with executives, writing code, designing APIs, configuring AI models, debugging production issues, and presenting solutions. Success will be measured by your speed in delivering working solutions, customer satisfaction, quality and scalability of implementations, and your ability to create reusable capabilities that reduce future deployment time. Joining this team offers the opportunity to work at the forefront of enterprise AI, with significant ownership and influence across engineering, product, and customer strategy.