An ADEL FDE connects business context with hands-on engineering. You will investigate the workflow, decide what is worth building, write the software and help the customer take ownership. This is a delivery role: a convincing demonstration is a starting point, not the finish line.
What you will do
- Work with users and technical leaders to define the problem, constraints, baseline and evidence of success.
- Build AI-enabled workflows, services and interfaces using the models and tools that fit the customer’s environment.
- Connect enterprise data and APIs with appropriate access controls; design retrieval, tool use and human review where they are useful.
- Create evaluation datasets and tests that expose failure modes. Measure task quality, reliability, latency and operating cost.
- Move working increments through code review, security checks, deployment and monitoring with the customer’s engineers.
- Explain architecture choices and trade-offs clearly. Raise dependencies and risks while there is still time to act.
- Leave behind documentation, runbooks and practical coaching so the customer can maintain and extend the work.
What you bring
- Evidence of shipping and supporting real software, with clear examples of your own engineering contribution.
- Strong coding, debugging and testing skills in Python, TypeScript or a comparable production language.
- Practical understanding of LLM applications, evaluation and the limits of probabilistic systems.
- Confidence working with APIs, data stores, version control and cloud deployment practices.
- Ability to discover the real need behind a request and communicate with both engineers and business stakeholders.
- Sound judgement about privacy, security, human oversight and when a simpler non-AI solution is better.
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