Forward Deployed Engineer

Company Overview

Not specified.

Job Summary

The Forward Deployed Engineer (FDE) plays a critical role in delivering customer-centric AI solutions by owning outcomes, integrating complex enterprise systems, and leading technical engagements. This role requires a blend of technical expertise, customer empathy, and leadership to ensure successful deployment and adoption of AI-driven products, ultimately contributing to the organization’s growth and customer satisfaction.

Responsibilities

• Own Customer Outcomes: Lead technical engagements with customers, ensuring successful deployment and operationalization of AI and agent-based systems, with a focus on delivering measurable business value.
• Build and Maintain Agent Systems: Develop, fine-tune, and evaluate large language model (LLM)-powered or agent-based applications in production, understanding system failures, evaluation metrics, and optimization strategies.
• Full-Stack Engineering: Design and implement solutions across the stack, including frontend dashboards, backend orchestration services, data pipelines, and deployment infrastructure, to support customer needs.
• Enterprise System Integration: Integrate with enterprise systems such as SAP, Salesforce, Oracle, Snowflake, Databricks, or identity providers like Okta and Azure AD, ensuring robust, scalable, and compliant API connections.
• Customer Engagement & Communication: Interact directly with customer stakeholders, including CTOs and operational teams, to gather requirements, provide technical guidance, and communicate progress and outcomes effectively.
• Mentorship & Team Leadership: Lead small engineering teams, break down complex projects, set priorities, review code, and foster best practices to ensure high-quality deliverables.

Qualifications

• Experience: 3-7 years in software engineering, AI engineering, or applied machine learning, with at least 2 years in customer-facing roles owning outcomes.
• Technical Education: Strong academic background in Computer Science, Engineering, or related fields; advanced degrees are a plus but not required.
• AI & ML Systems: Hands-on experience building production agent systems, shipped at least one substantial LLM-powered or agent-based application in the last 18 months.
• Full-Stack Engineering: Proficiency across frontend (TypeScript/JavaScript), backend, data engineering, and deployment infrastructure.
• Programming Skills: Excellent Python skills, proficiency with ML frameworks like PyTorch, and familiarity with SQL, Bash, Docker, and Kubernetes.
• Enterprise Systems Integration: Experience integrating with enterprise APIs (e.g., SAP, Salesforce, Snowflake) at an API depth, with a track record of production deployments.
• Customer-Facing Maturity: Proven experience engaging directly with customers, managing expectations, and owning outcomes.
• Domain Knowledge: Credible understanding of one or two industry domains such as healthcare, finance, logistics, or retail.
• Leadership & Communication: Demonstrated ability to lead small teams, communicate effectively in writing and verbally, and foster collaboration.

Preferred Skills

• Experience with frameworks like LangGraph, LlamaIndex, or similar orchestration tools.
• Familiarity with inference economics and model fine-tuning.
• Experience with customer-facing applications using TypeScript/JavaScript.
• Knowledge of enterprise security, compliance, and certification requirements.
• Ability to handle non-determinism and system debugging in agent systems.

Experience

• 3 to 7 years of relevant experience in software/AI engineering.
• At least 2 years in direct customer-facing roles, owning outcomes and managing stakeholder expectations.
• Proven track record of shipping production AI applications, especially LLM-powered or agent-based systems.

Environment

• The role may involve in-office, remote, or hybrid work settings depending on the company's policies.
• Work involves collaboration with cross-functional teams, customer engagement, and hands-on technical development.
• The environment emphasizes a customer-centric, outcome-oriented approach with a focus on high-quality engineering practices.

Salary

Not specified.

GrowthOpportunities

Not specified.

Benefits

Not specified.