Forward Deployed Engineer

ADEL; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

ADEL is seeking a delivery-focused engineer to bridge business context and hands-on software development in London. You will investigate workflows, decide what to build, write software and help the customer take ownership.

The role focuses on delivering working increments, with emphasis on architecture decisions, security and practical coaching for the customer to maintain and extend the work.

Qualifications

• Evidence of shipping and supporting real software with clear engineering contributions.
• Strong coding, debugging and testing skills in Python or TypeScript.
• 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.

Responsibilities

• Define the problem, constraints, baseline and evidence of success with users and tech leads.
• Build AI-enabled workflows, services and interfaces fitting the customer environment.
• Connect enterprise data and APIs with access controls; design retrieval, tool use and human review where useful.
• Create evaluation datasets and tests; measure quality, latency and cost.
• Move increments through code review, security checks, deployment and monitoring with customer’s engineers.
• Explain architecture choices and trade-offs; raise dependencies and risks early.
• Leave documentation, runbooks and practical coaching for long-term maintenance.

Skills

Python

TypeScript

Tools

APIs

Data stores

Version control

Cloud deployment

Job description

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.