Solutions Engineer - Defence & Geospatial AI (m/f)

Flai; United States; Remote; USD 90,000 - 140,000; Full time

Benefits offered by this job

Remote work

Job summary

Flai is seeking a hands-on technical customer engineer to take problems from discovery through prototype, field deployment and validation, focusing on defence and geospatial AI. You will work directly with customers, operators, hardware partners, and integrators to uncover the underlying need, define a workable solution, and build an initial implementation.

Field findings then inform product direction and support technical proposals and tenders.

Qualifications

• Translate customer problems into testable technical plans.
• Strong Python development skills for prototypes.
• Ability to evaluate technical outputs for accuracy and usefulness.
• Comfort communicating findings to engineering and product teams; able to work with customers and partners.

Responsibilities

• Lead technical discussions with defence and civil customers, hardware partners, and integrators to clarify needs, constraints, and success criteria.
• Turn ambiguous requests into specifications and acceptance criteria for engineering teams.
• Build end-to-end prototypes, including processing workflows, AI apps, sensor or partner integrations, data products, and demonstrations.
• Use Python as a primary development tool and work elsewhere in the stack as required.
• Deploy solutions in field exercises, trials, and customer environments, including offline or air-gapped settings.
• Check whether results are technically sound and operationally useful; relay field learning to product teams and contribute to proposals or tenders.

Skills

Python

Technical planning

Customer communication

Prototyping

Job description

Role overview

Take technical customer problems from initial discovery through prototype, field deployment, and validation, with a focus on defence and geospatial AI. You’ll work directly with customers, operators, hardware partners, and integrators to uncover the underlying need, define a workable solution, and build an initial implementation. Field findings then inform product direction and support technical proposals and tenders.

Responsibilities

• Lead technical discussions with defence and civil customers, hardware partners, and integrators to clarify needs, constraints, and success criteria.
• Turn ambiguous requests into specifications and acceptance criteria that engineering teams can act on.
• Build end-to-end prototypes, including processing workflows, AI model applications, sensor or partner integrations, data products, and demonstrations.
• Use Python as a primary development tool and work elsewhere in the stack as required.
• Deploy solutions in field exercises, trials, and customer environments, including offline or air-gapped settings.
• Check whether results are technically sound and operationally useful; relay field learning to product teams and contribute to proposals or tenders.

Requirements

• Ability to understand a customer’s underlying problem and translate it into a clear, testable technical plan.
• Practical software development skills, particularly in Python, with the ability to build working prototypes across relevant parts of a solution.
• Sound judgment when evaluating the accuracy and usefulness of technical outputs.
• Comfort working directly with customers and technical partners, then communicating findings clearly to engineering and product teams.
• Willingness to work in field settings and adapt solutions to constrained environments, including offline deployments.

Benefits and work setup

Full-time, remote position based in Europe. Direct collaboration with the CTO and ownership of a substantial share of technical customer work and use-case development.