WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Generative AI Engineer

TechniPros, LLC
Austin, TX, United States
1 day ago

Role details

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

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Graph Database Python (Programming Language) Neo4j Enterprise Software Applications Cloud Platform System Large Language Models Multi-Agent Systems Prompt Engineering IT Architecture
+7 more
Generative AI Fastapi AI Platforms Kubernetes Apache Kafka Docker Microservices

Job description

We are looking for a Principal Generative AI Engineer to architect enterprise AI ecosystems using multi-agent systems, AI orchestration, knowledge retrieval, and cloud-native infrastructure. The ideal candidate will lead AI solution design and mentor engineering teams., * Architect enterprise Generative AI solutions.

  • Build multi-agent AI applications.
  • Implement AI workflow orchestration.
  • Design Graph RAG and Knowledge Graph solutions.
  • Integrate enterprise systems with AI services.
  • Optimize prompt engineering and tool calling.
  • Deploy AI services using Kubernetes.
  • Develop AI microservices using Python.
  • Build scalable event-driven AI platforms.
  • Lead AI architecture reviews.

Requirements

  • Python
  • Generative AI
  • LLMs
  • Multi-Agent Systems
  • Lang Graph
  • CrewAI
  • Autogeny
  • Graph RAG
  • Neo4j
  • Vector Databases
  • Prompt Engineering
  • Tool Calling
  • Fast API
  • Kafka
  • Kubernetes
  • Docker
  • Azure
  • AWS

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

52 sec

Transitioning from software consulting to AI building

Malte Lensch Malte Lensch · World Congress 2026 Europe

2:24 min

Comparing Neo4j and GraphQL conceptual models

William Lyon · LIVE

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

3:30 min

Introduction to Neo4j and remote developer relations work

Videos

See all
Should we build Generative AI into our existing software? thumbnail
24:51
World Congress 2024 • almost 2 years ago

Should we build Generative AI into our existing software?

Simon Müller

Intro to FastAPI thumbnail
42:19
World Congress 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

Putting the Graph In GraphQL With The Neo4j GraphQL Library thumbnail
47:48
LIVE • almost 5 years ago

Putting the Graph In GraphQL With The Neo4j GraphQL Library

William Lyon

Make it simple, using generative AI to accelerate learning thumbnail
26:54
World Congress 2024 • almost 2 years ago

Make it simple, using generative AI to accelerate learning

Duan Lightfoot

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

Related articles

See all