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AI/LLM Engineer

Linq Global Group, LLC
Seattle, WA, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
dice.com

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Machine Learning Tensorflow Core Voice Platform Google Cloud Real Time Systems Pytorch Flask (Web Framework) Large Language Models
+8 more
Prompt Engineering Deep Learning Backend Fastapi Kubernetes Virtual Agents Api Management Docker

Requirements

  • 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/Google Cloud Platform), 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 dice.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

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:08 min

Applying large language models to infrastructure tasks

Alfonso Sandoval Rosas Alfonso Sandoval Rosas · Europe 2026 Virtual

2:34 min

Docker sandbox architecture and microVM environment integration

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

2:36 min

Exploring high-level Python frameworks for accelerated enterprise artificial intelligence

Paul Graham Paul Graham · LIVE

Videos

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

Building AI Applications with LangChain and Node.js

Julián Duque

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

Intro to FastAPI thumbnail
42:19
WWC 2022 • about 4 years ago

Intro to FastAPI

Sebastián Ramírez

Docker Compose: Rediscovered thumbnail
28:40
Europe 2026 Virtual • about 1 month ago

Docker Compose: Rediscovered

Matthieu Vincent

DevOps for AI: running LLMs in production with Kubernetes and KubeFlow thumbnail
34:21
LIVE • almost 2 years ago

DevOps for AI: running LLMs in production with Kubernetes and KubeFlow

Aarno Aukia

Nest.js - TypeScript in the backend can also be clean thumbnail
24:29
WWC 2024 • almost 2 years ago

Nest.js - TypeScript in the backend can also be clean

Maximilian Otto

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