WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Gen AI Engineer

Propertyvalue Quantum Technologies Llc
Charlotte, NC, United States
4 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$195,520.0
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration JSON Python (Programming Language) Machine Learning Routing Tensorflow Google Cloud Pytorch
+10 more
Large Language Models Multi-Agent Systems Prompt Engineering Fastapi Kubernetes HuggingFace Machine Learning Operations Virtual Agents Restful APIs Docker

Requirements

  • 7+ years in AI, Data Science, ML, and Gen AI
  • Strong Python coding skills
  • 2+ years hands-on Agentic AI, Gen AI, VLLM, RAG, LLM/LLMOps
  • Strong LangChain, LangGraph, MCP, FastAPI, REST API
  • Experience building Agentic AI / Multi-Agent systems
  • Strong RAG, Graph RAG, vector databases Pinecone, FAISS, ChromaDB, Weaviate
  • MLOps/LLMOps with MLflow, DVC, SageMaker/Vertex AI Pipelines, CI/CD
  • Cloud AI experience with AWS, Google Cloud Platform Vertex AI, and Azure OpenAI
  • PyTorch/TensorFlow, Hugging Face, Transformers
  • Experience with LLM fine-tuning LoRA, QLoRA, PEFT
  • Docker, Kubernetes, Pydantic/JSON schemas
  • Experience with CrewAI, tool calling, memory, routing, guardrails, and multi-agent orchestration

Nice to Have: Google Cloud Platform, Prompt Engineering.

Apply for this position

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

Apply on www.dice.com

Good distractions

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

Moments

Explore playlists

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

3:47 min

Exploring JSON, CBOR, and JOSE for data serialization

Aaron Russell · LIVE

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

1:49 min

Augmenting junior and principal engineering roles with AI

Neel Sundaresan Neel Sundaresan +1 · WWC Europe 2026

2:03 min

Distinguishing type definition constructs from data validation routines

Clemens Vasters Clemens Vasters · WWC 2025

Videos

See all
Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure thumbnail
26:35
WWC 2025 • 12 months ago

Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure

Ricardo

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

Tips and Tricks for Working with JSON thumbnail
8:30
LIVE • almost 2 years ago

Tips and Tricks for Working with JSON

Dan Cranney

Building and Deploying Multi-Agent Systems with ADK and Vertex AI thumbnail
1:08:35
Europe 2026 Virtual • about 1 month ago

Building and Deploying Multi-Agent Systems with ADK and Vertex AI

Saoussen Chaabnia

Docker build without Docker thumbnail
28:40
WWC Europe 2026 • about 1 month ago

Docker build without Docker

Oliver Seitz

Related articles

See all