Full Stack AI Engineer

The Friedkin Group is seeking a Full Stack AI Engineer to design and build enterprise-grade applications that operationalize analytical and machine learning models. The role involves working on cross-functional teams to create scalable AI-enabled applications and integrate various data systems.

Responsibilities:

• Design and build enterprise-grade applications that operationalize analytical models, machine learning models, Gen AI solutions from ingestion pipelines and backend APIs to front-end applications and AI-powered features
• System Design & Architecture
• Design end-to-end solutions spanning frontend, backend, and data layers
• Define patterns for scalable AI-enabled applications
• Contribute to architecture decisions and participate in technical reviews across the data and AI ecosystem
• Translate analytical outputs and model results into user experiences that business stakeholders can act on directly
• Apply strong product thinking to front-end design and usability
• Design and build user-facing applications (web apps, APIs, workflows) that enable interaction with data science and AI models
• Build intuitive dashboards, data applications, and self-serve analytics tools using modern front-end frameworks
• Develop full-stack solutions using technologies such as React, Angular, and Python-based backends (Django, FastAPI, Flask etc.)
• Ensure solutions are scalable, secure, and enterprise ready
• Build and maintain data ingestion pipelines, ETL workflows, and integrations with the Databricks Lakehouse platform
• Build RAG pipelines, data pipeline to sync Agent memory systems
• Connect applications to data sources, feature stores, workflows and ML model endpoints
• Ensure data quality, reliability, and performance across the pipeline
• Integrate agentic workflow, RAG pipelines, and AI agent into production applications
• Build and deploy AI-powered features including semantic search, document understanding, conversational interfaces, and automated workflows
• Evaluate and select appropriate AI tools and APIs for each use case
• Actively leverage AI coding tools (Claude Code, Codex, Augment Code) as a core part of the development workflow
• Stay current on AI tooling advancements and share best practices across the team
• Maintain high code quality standards when using AI-generated code
• Implement CI/CD pipelines, automated testing, and observability for all production systems
• Contribute to formulate software engineering best practices including code review, documentation, testing, and security standards
• Ensure observability, monitoring, and reliability of applications

Requirements:

• Bachelor's Degree Computer Science, Software Engineering, Information Systems, or a related technical field
• 8+ years of experience building production-grade software applications
• Strong full-stack development experience (frontend + backend)
• Experience building RESTful APIs and backend services
• Experience with data-intensive applications or data platform integrations
• Experience actively using AI coding tools (Claude Code, Codex, Augment Code) as part of day-to-day development
• Experience with front-end frameworks such as React, Angular, or Next
• Experience working in agile/scrum delivery models with cross-functional teams
• Experience integrating LLMs, RAG pipelines, or AI APIs into production applications
• Experience with Databricks, or Lakehouse architectures
• Experience working with cloud-native web application development and deployment (AWS, Azure)
• Experience with CI/CD, infrastructure-as-code, or cloud-native deployments (AWS preferred)