AI Application Developer

HED

. Own the full lifecycle of AI-powered applications, including requirements definition, architecture, development, deployment, and ongoing evolution.

Posted 4/21/2026full-timeRemote • California, Illinois, Massachusetts, Missouri, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudDockerFlaskGrafanaPrometheusPythonReact

About the role

Key responsibilities & impact

Own the full lifecycle of AI-powered applications, including requirements definition, architecture, development, deployment, and ongoing evolution.
Design and develop modern, performant web applications using React, with a focus on usability, accessibility, and clarity of experience.
Build and maintain backend services using Python (Flask required), ensuring scalable, well-structured API design.
Develop AI-native application features, including RAG-based workflows, conversational interfaces, and intelligent document generation.
Design and implement event-driven, agentic workflows that respond to real-world signals (e.g., emails, meetings, documents) and trigger appropriate system actions or user prompts.
Build systems that extract structured insights from unstructured data sources (natural language, documents, communications) to support downstream workflows and decision-making.
Integrate AI/LLM services (e.g., OpenAI, Anthropic) into production systems with attention to performance, cost, and reliability.
Collaborate with data developers and knowledge experts to translate pipelines and machine learning outputs into user-facing capabilities.
Partner directly with stakeholders across the firm to define problems, prototype solutions, and iteratively deliver meaningful outcomes.
Contribute to the development of shared platform capabilities, including component libraries, authentication patterns, and developer tooling.
Implement and maintain CI/CD pipelines, containerized deployments, and cloud infrastructure (Azure preferred).
Ensure all applications align with HED governance standards, including security, authentication, observability, and responsible AI practices.
Monitor application health, troubleshoot production issues, and maintain clear documentation and operational runbooks.
Actively contribute to a culture of innovation, experimentation, and continuous improvement across the Data & AI Platform team.
Participate in structured technical reviews and cross-functional governance processes; contribute to architecture decision records (ADRs), operational runbooks, and review artifacts.
Champion production-grade engineering practices including API versioning, error handling, automated testing, and scalability patterns.

Requirements

What you’ll need

5–8+ years of experience in full-stack development or equivalent AI application experience.
Technical Skills (Required): React (modern patterns, state management), Python/Flask backend development, REST API design, Tailwind CSS, Build tooling (Vite, npm), Authentication (OAuth2, OIDC), AI/LLM integration (OpenAI/Anthropic), RAG and prompt design familiarity, CI/CD and Docker, Git workflows.
Technical Skills (Preferred): Azure platform services, Databricks / Delta Lake, Observability tools (Grafana, Prometheus), Agent frameworks (LangChain, CrewAI), Document generation workflows.
Experience working with unstructured data (e.g., NLP, entity extraction, document parsing, or similar techniques).
Familiarity with event-driven architectures or workflow orchestration patterns.
Experience designing systems that minimize manual data entry through automation or inference.
AEC industry experience.

Benefits

Comp & perks

Remote eligible.
Flexible collaboration across distributed teams.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

ReactPythonFlaskREST API designTailwind CSSCI/CDDockerGit workflowsAI/LLM integrationRAG and prompt design

Soft Skills

collaborationproblem-solvinginnovationexperimentationcontinuous improvementcommunicationstakeholder engagementtechnical review participationdocumentationoperational management