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AI Engineer

New York, NY, US • Posted 14 hours ago • Updated 14 hours ago

Contract W2

Contract Independent

Contract Corp To Corp

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Summary

Position: AI Engineer (Jr. / Sr. / Lead)
Location: Leawood, KS (Hybrid/Onsite)
Type: Contract Duration: Long-term
Eligibility: Local candidates preferred. Open to and H1B

Position Overview
We are seeking a highly skilled and adaptable AI Engineer to join our development team in Leawood, KS. Whether you are a rising talent (Junior), an experienced specialist (Senior), or a strategic mentor (Lead), you will play a pivotal role in designing, building, and deploying production-grade AI solutions.
You will work at the intersection of traditional backend engineering and cutting-edge Generative AI, leveraging Python, Azure, and LLM frameworks to build intelligent applications that solve complex business challenges.

Key Responsibilities

LLM Application Development: Design and implement sophisticated AI workflows using LangChain or similar frameworks to integrate Large Language Models into enterprise applications.
Backend & API Engineering: Build and maintain scalable, high-performance backend services and RESTful APIs to support AI-driven features.
Cloud Architecture: Architect and manage cloud-based infrastructure within Azure, ensuring high availability and cost-effective scaling of AI services.
Event-Driven Systems: Utilize Kafka to build responsive, real-time data streaming architectures and event-driven AI processes.
Production Deployment: Take ownership of the full model lifecycle—from local experimentation to production-grade deployment and monitoring.
MLOps & Pipelines: Establish and optimize data pipelines and MLOps practices to automate model training, testing, and versioning.
Mentorship (Lead Level): Guide junior team members, set coding standards, and lead architectural reviews for AI/ML projects.
Core Language: Strong, professional programming experience in Python.
AI Frameworks: Hands-on experience with LangChain, LlamaIndex, or equivalent LLM orchestration tools.
Cloud Platforms: Expertise in Azure services (Azure OpenAI, Azure Functions, Blob Storage, etc.) or equivalent cloud providers.
Streaming & Messaging: Experience with Kafka or similar event-driven architectures.
Development Fundamentals: Solid background in backend development, system design, and API security.
Lifecycle Management: Proven experience deploying AI/ML models in live production environments and a deep understanding of MLOps principles.
Data Engineering: Proficiency in building and managing robust data pipelines to feed AI models.

Apply today to help us shape the future of intelligent software!

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10113809
Position Id: 105930-1090-145826
Posted 14 hours ago

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