Forward Deployed Engineer

ADEL; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

ADEL is seeking a delivery-focused engineer to build AI-enabled workflows and interfaces, connecting enterprise data and APIs with proper access controls. You will work with users and technical leaders to define problems, evaluate success, and move increments through code reviews and deployments.

Applicants should demonstrate hands-on software contributions, strong coding and testing skills in Python or TypeScript, and a practical understanding of LLM applications, APIs, data stores and cloud

Qualifications

• Evidence of shipping and supporting real software with clear examples.
• Strong coding, debugging and testing skills in Python or TypeScript.
• Practical understanding of LLM applications, evaluation and limits.
• Experience with APIs, data stores, version control and cloud deployment.
• Ability to uncover real needs and communicate with engineers and business stakeholders.
• Judgement on privacy, security and human oversight; prefer simpler non-AI solutions when suitable.

Responsibilities

• Define problems, constraints, baseline and success with users and leaders.
• Build AI-enabled workflows, services and interfaces for the customer's environment.
• Connect enterprise data and APIs with proper access controls and retrieval design.
• Create evaluation datasets and tests to expose failure modes and costs.
• Move increments through code review, security checks, deployment and monitoring.
• Explain architecture choices, raise dependencies and risks early.
• Provide documentation, runbooks and coaching for customer self-sufficiency.

Skills

Python

TypeScript

Code testing

LLM applications

APIs

Data stores

Version control

Cloud deployment

Problem discovery

Communication

Tools

Git

Docker

Cloud platforms

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.