Forward Deployed Engineer

We are looking for a Forward Deployed Engineer to bridge the gap between an AI operations platform and the real-world systems used by enterprise customers. You will work directly with clients to understand their processes, technical constraints, and business goals, then design and deliver practical AI-powered solutions within their existing environment. This is a highly commercial, client-facing engineering role. You will act as both a solution architect and a hands-on engineer, translating customer requirements into working integrations, AI agents, and measurable business outcomes.

Responsibilities

• You Will Do Lead technical discovery with enterprise customers, including C-level and senior business stakeholders.
• Understand customer workflows, systems, data sources, and operational challenges.
• Scope implementation projects, define success criteria, and translate business requirements into technical solutions.
• Design and build integrations between the AI platform and customer systems using Python or JavaScript, SQL, APIs, JSON, and webhooks.
• Develop, configure, and deploy LLM-based agents and automation workflows in production environments.
• Work with AI evaluation methods, retrieval systems, MCP, and agent frameworks to ensure solutions are reliable and fit for purpose.
• Handle real-world deployment constraints, including legacy systems, incomplete documentation, limited APIs, and changing customer requirements.
• Communicate technical decisions, risks, and trade-offs clearly to both technical and non-technical stakeholders.
• Measure and communicate the business impact of delivered solutions, including efficiency gains, cost savings, and operational improvements.
• Act as a trusted technical advisor throughout implementation and post-deployment engagement.

Requirements

• We Are Looking For 5+ years of experience in software engineering, solutions engineering, technical consulting, or a similar customer-facing technical role.
• External, commercial experience working with named enterprise customers of a software product, including scoping work with economic buyers.
• Experience working in a venture-backed startup or scale-up, ideally from Seed to Series B, or in a genuine high-growth enterprise environment.
• Hands-on experience with Python or JavaScript, SQL, APIs, JSON, and webhooks.
• AI experience, including practical work with LLMs, agent frameworks, evaluations, MCP, or retrieval-based systems.
• Ability to move comfortably between technical implementation and commercial discussions.
• Strong communication skills and the ability to explain complex technical concepts in business terms.
• A practical, outcome-driven approach to problem solving.
• Full professional fluency in English.
• A senior, high-impact role shaping how enterprise customers adopt and operationalize AI.
• Direct exposure to senior stakeholders and meaningful ownership of customer outcomes.
• The opportunity to work on complex, real-world AI deployments rather than isolated proofs of concept.

Offer

A collaborative environment that values commercial judgment, technical versatility, and practical execution.