Forward Deployed Engineer

About the Role

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.

What 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.

What 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.

• Applied 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.

Offer:

• 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.

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