ABOUT THE ROLE

Our client is looking for a AI Application Developer to help design, build, and ship AI-powered features across our products. You’ll work closely with senior engineers and product stakeholders to integrate large language models (LLMs) into real applications — building retrieval-augmented generation (RAG) pipelines, prototyping agentic workflows, and turning AI capabilities into features people actually use. This is a hands-on role for someone with a couple years of engineering experience who wants to grow deeper into applied AI development.

RESPONSIBILITIES

• Design, build, and maintain application features that integrate LLM APIs (e.g., Anthropic Claude, OpenAI) into existing and new products, under the guidance of senior engineers.

• Develop and support RAG pipelines and agentic workflows — including embedding, retrieval, and tool-use logic — and monitor the performance and output quality of these features in production.

• Build and consume backend APIs and services that connect AI functionality to front-end and downstream systems.

• Support deployment of AI-integrated services on cloud/PaaS platforms (e.g., Azure Web Apps, Function Apps) and contribute to CI/CD workflows.

• Collaborate with senior engineers, product managers, and designers to translate feature ideas into working AI-powered experiences and participate in code reviews and sprint planning.

WHAT WE’RE LOOKING FOR

• Bachelor’s Degree plus 3–4 years of relevant professional software development experience, demonstrating familiarity with standard application engineering concepts, practices, and procedures

• Solid proficiency in Python and/or JavaScript/TypeScript, with the ability to build and debug full application features end-to-end

• Hands-on experience (professional or personal projects) calling LLM APIs — Anthropic Claude, OpenAI, or similar

• Understanding of REST/GraphQL API design and integrating third-party or internal services

• Familiarity with DevOps practices, including CI/CD pipelines and version-controlled deployment workflows

• Familiarity with Platform-as-a-Service (PaaS) offerings such as Web Apps and Function Apps

• Strong debugging and problem-solving skills, with a willingness to learn quickly in a fast-moving AI landscape

• Good communication skills and comfort collaborating in a cross-functional team environment

WORK ENVIRONMENT

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

• Schedule: Monday–Friday; occasional extended hours as required

• Travel: Less than 10%

This is a remote position.