Job Title: Full-Stack AI & Data Engineer
Job Type: Contract-to-Hire
Job Location: Hybrid
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
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Design and maintain robust APIs using Node.js, NestJS, or FastAPI
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Build intuitive user interfaces using React or similar frameworks to make AI tools accessible to non-technical users
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Develop, fine-tune, and deploy machine learning models using frameworks such as PyTorch and Scikit-learn
LLM & RAG Development
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Implement generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines
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Develop and optimize prompts and LLM workflows for production applications
Agentic AI Systems
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Build autonomous AI agents capable of multi-step reasoning and tool calling
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Utilize frameworks such as LangChain and MCP servers to orchestrate advanced AI workflows
Production MLOps & Observability
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Implement monitoring for LLM drift, latency, reliability, and hallucination detection
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Ensure enterprise-grade reliability and performance of deployed models
Data Engineering
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Design and maintain ELT/ETL pipelines using Python, SQL, and orchestration tools such as Airflow
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Ensure strong data quality, governance, and scalability
Data Platform Integration
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Manage data workflows and model deployments within Snowflake, leveraging Snowpark or Cortex as appropriate
Cloud Infrastructure
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Deploy and maintain scalable systems using Docker, Kubernetes, and CI/CD pipelines
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Support deployments across AWS, GCP, or Azure
Analytics & Business Collaboration
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Partner with stakeholders to translate complex data into actionable insights and business solutions
Required Qualifications
Full-Stack Engineering
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5+ years of experience across the full stack, including Node.js, Python, and modern web frameworks (React/NestJS)
Data Engineering Expertise
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Strong experience building ELT/ETL pipelines
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Advanced SQL skills and experience working with Snowflake and Snowpark
Generative AI
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Proven experience deploying LLM-based applications in production
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Experience with prompt engineering, RAG architectures, and generative AI workflows
AI / Machine Learning
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5+ years working with machine learning lifecycle management (MLOps), NLP, or deep learning
DevOps & Infrastructure
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Experience with Terraform or Infrastructure-as-Code
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Strong understanding of cloud-based AI infrastructure and automated testing frameworks
Nice to Have
Mobile Development
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Experience building cross-platform mobile apps with React Native or Flutter
Mobile Architecture
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Experience designing mobile UI/UX and integrating REST or GraphQL APIs
App Store Deployment
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Experience managing App Store and Google Play releases, including mobile CI/CD pipelines
Security & Authentication
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Experience implementing OAuth2, biometric authentication, and secure on-device data encryption
Leadership & Collaboration
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Mentor junior engineers on AI ethics, data governance, and engineering best practices
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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.