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AI/LLM Eng

Cliff Services Inc
Jersey City, NJ, United States
24 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Compensation
$121,181.0 - $137,821.0
Working hours
Regular working hours
Job source
www.careerjet.com

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Machine Learning Tensorflow Core Voice Platform Real Time Systems Pytorch Flask (Web Framework) Large Language Models Prompt Engineering
+6 more
Deep Learning Backend Fastapi Kubernetes Api Management Docker

Requirements

Must have experience in: Large Language Models (OpenAI/Azure OpenAI or similar) Very strong Prompt engineering skilla, function calling, RAG architectures Agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen or similar) Vector databases (pgvector, Pinecone, Chroma, etc.) Python backend development (FastAPI/Flask) API integrations and workflow orchestration Deep Learning & Machine Learning (model training, fine-tuning, evaluation PyTorch/TensorFlow) Good to have: Cloud (Azure/AWS/GCP), Docker/Kubernetes Real-time systems, document AI, voice AI Profile: Strong backend engineer with hands-on AI, GenAI/LLM production experience (not just research

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · WWC 2023

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:22 min

Leveraging the comprehensive generative artificial intelligence stack

Duan Lightfoot Duan Lightfoot · WWC 2024

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · WWC Europe 2026

2:12 min

Navigating technical clarity as a global black belt

Chris Heilmann +2 · LIVE

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Europe 2026 Virtual • about 1 month ago

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29:32
WWC Europe 2026 • about 1 month ago

Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)

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Developing the Backend with Stefan Lingler, CTO at Shpock thumbnail
24:02
Coffee With Developers • about 8 years ago

Developing the Backend with Stefan Lingler, CTO at Shpock

Stefan Lingler, Thomas Pamminger

Building AI Applications with LangChain and Node.js thumbnail
26:42
WWC 2025 • 12 months ago

Building AI Applications with LangChain and Node.js

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28:40
WWC Europe 2026 • about 1 month ago

Docker build without Docker

Oliver Seitz

Supercharge your cloud-native applications with Generative AI thumbnail
32:13
WWC 2024 • almost 2 years ago

Supercharge your cloud-native applications with Generative AI

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