Forward Deployed Engineer (Mid-Level)

ADEL; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Remote role across India

Job summary

ADEL is seeking a mid-level software/AI engineer to build and deploy AI-powered applications across customer workflows. You will own implementation from discovery through production support, collaborating with customer teams and enterprise systems.

You will implement APIs, data connections and front-end/back-end features, deploy in cloud environments, and address performance, reliability and security in real-world use cases.

Qualifications

• 2–5 years of hands-on software engineering or AI/ML engineering experience.
• Strong coding and testing skills in Python, TypeScript, or JavaScript.
• Practical experience building LLM-enabled apps with retrieval, tool use or orchestration.
• Know-how of APIs, databases, data flows, and secure data handling.
• Experience deploying apps on cloud platforms with compute, storage, and networking.

Responsibilities

• Explore customer processes to identify AI use cases and define success criteria.
• Develop AI-enabled apps, chat interfaces, and agent workflows that integrate with enterprise systems.
• Build APIs, data connections, and user-facing features; debug across frontend, backend, and infra.
• Deploy and operate apps in customer clouds, managing container setup, connectivity, and secrets.
• Apply CI/CD and automated tests to release changes safely and improve reliability.
• Demonstrate AI behavior under failure scenarios and prepare runbooks and docs.

Skills

Python

TypeScript

JavaScript

LLM apps

APIs

CI/CD

Linux

Containers

Cloud platforms

Tools

CI/CD tooling

Containerization tools

Cloud deployment tools

Job description

Role overview

Build and deploy AI applications that address real customer workflows, from early discovery through production support. This mid-level, hands-on engineering role spans application development, enterprise integrations, cloud infrastructure and direct collaboration with customer teams; prior experience under a forward-deployed title is not required.

Responsibilities

• Explore customer processes, identify promising AI use cases and define measurable success criteria.
• Develop AI-enabled applications, chat interfaces and agent workflows that connect to enterprise systems.
• Build APIs, data connections and user-facing features, and debug issues across frontend, backend and infrastructure.
• Deploy and operate applications in customer cloud environments, coordinating container setup, connectivity, permissions and secrets.
• Use automated tests and CI/CD practices to release changes safely; investigate failures and improve reliability, performance and cost.
• Assess AI behavior under realistic failure conditions, apply access controls and human review, and provide demonstrations, documentation and runbooks.

Requirements

• 2–5 years of professional experience in software engineering, AI/ML engineering or a related hands-on role.
• Strong coding, debugging and testing ability in Python, TypeScript, JavaScript or a comparable production language.
• Practical experience building LLM applications with techniques such as retrieval, tool use or agent orchestration, and awareness of quality, latency, reliability and cost trade-offs.
• Understanding of APIs, databases, data flows, authentication, authorization and secure data handling.
• Experience deploying and supporting applications on a cloud platform, with familiarity in compute, storage, networking and identity management.
• Confidence with Linux, networking fundamentals, containers, CI/CD, production monitoring, version control, code review and clear customer communication.

Benefits and work setup

• Remote role open to applicants across India.