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Overview
Our client, a leading media organization, is building a next-generation Data & AI platform to power advanced analytics, personalization, and AI-driven products. They are seeking a Full-Stack AI & Data Engineer to lead the development of end-to-end AI solutions.
This role will focus on designing and deploying production-grade AI/ML applications, including predictive analytics, personalization systems, and LLM-powered applications. The ideal candidate will have strong experience across AI/ML, data engineering, cloud infrastructure, and full-stack application development, enabling them to build scalable AI systems from data pipelines to end-user interfaces.
Key Responsibilities
Full-Stack AI Application Development
Design and maintain robust APIs using Node.js, NestJS, or FastAPI
Build intuitive user interfaces using React or similar frameworks to make AI tools accessible to non-technical users
Develop, fine-tune, and deploy machine learning models using frameworks such as PyTorch and Scikit-learn
LLM & RAG Development
Implement generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines
Develop and optimize prompts and LLM workflows for production applications
Agentic AI Systems
Build autonomous AI agents capable of multi-step reasoning and tool calling
Utilize frameworks such as LangChain and MCP servers to orchestrate advanced AI workflows
Production MLOps & Observability
Implement monitoring for LLM drift, latency, reliability, and hallucination detection
Ensure enterprise-grade reliability and performance of deployed models
Data Engineering
Design and maintain ELT/ETL pipelines using Python, SQL, and orchestration tools such as Airflow
Ensure strong data quality, governance, and scalability
Data Platform Integration
Manage data workflows and model deployments within Snowflake, leveraging Snowpark or Cortex as appropriate
Cloud Infrastructure
Deploy and maintain scalable systems using Docker, Kubernetes, and CI/CD pipelines
Support deployments across AWS, GCP, or Azure
Analytics & Business Collaboration
Partner with stakeholders to translate complex data into actionable insights and business solutions
Required Qualifications
Full-Stack Engineering
5+ years of experience across the full stack, including Node. xsgimln js, Python, and modern web frameworks (React/NestJS)
Data Engineering Expertise
Strong experience building ELT/ETL pipelines
Advanced SQL skills and experience working with Snowflake and Snowpark
Generative AI
Proven experience deploying LLM-based applications in production
Experience with prompt engineering, RAG architectures, and generative AI workflows
AI / Machine Learning
5+ years working with machine learning lifecycle management (MLOps), NLP, or deep learning
DevOps & Infrastructure
Experience with Terraform or Infrastructure-as-Code
Strong understanding of cloud-based AI infrastructure and automated testing frameworks
Nice to Have
Mobile Development
Experience building cross-platform mobile apps with React Native or Flutter
Mobile Architecture
Experience designing mobile UI/UX and integrating REST or GraphQL APIs
App Store Deployment
Experience managing App Store and Google Play releases, including mobile CI/CD pipelines
Security & Authentication
Experience implementing OAuth2, biometric authentication, and secure on-device data encryption
Leadership & Collaboration
Mentor junior engineers on AI ethics, data governance, and engineering best practices
Comfortable working across AI innovation and practical data engineering challenges
Strong collaboration with product, analytics, and engineering teams
The projected hourly range for this position is $80 to $100.
On-Demand Group (ODG) provides employee benefits which includes healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.