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LM
Luis Minvielle
How to Become an AI Engineer
almost 3 years ago
AI Engineer
iTech US, Inc.
Cincinnati, OH, United States
1 day ago
- Discuss this with your agent
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Apply on www.dice.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Information Systems
Databases
Python (Programming Language)
Search Technologies
Google Cloud
Large Language Models
IT Architecture
Build Management
+2 more
Information Technology
Virtual Agents
Job description
- Build and deploy LLM-based applications, agents, and RAG solutions using LangChain/ LangGraph.
- Develop prompt workflows, orchestration pipelines, and vector search solutions.
- Integrate LLMs with APIs, databases, and enterprise platforms.
- Implement AI governance, safety, compliance, and risk controls.
- Deploy and scale AI solutions on cloud platforms.
- Senior: Lead AI architecture, mentor teams, define best practices, and drive AI innovation.
Requirements
- Strong Python development experience.
- Hands-on expertise in LangChain, LangGraph, OpenAI/Azure OpenAI.
- Experience with RAG, Vector Databases (Pinecone, FAISS, Chroma, Weaviate), and Agentic AI.
- Understanding of AI Governance, Responsible AI, Safety, and Compliance.
- Experience deploying enterprise AI solutions in AWS, Azure, or Google Cloud Platform.
Required Education: At least a Bachelor’s Degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems or closely related field is required.
Necessary Skills: LangChain, LangGraph, OpenAI/Azure OpenAI, RAG, Vector Database, LLM.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.dice.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlists3:04 min
Database evolution and the funding behind vector databases
Erik Bamberg · LIVE
6:10 min
Unlocking free learning credits via Google Cloud Innovators
Asrar · World Congress 2024
3:21 min
Navigating the ethical integration of virtual colleagues
Rudi Bauer +1 · Cappuccino with HR
2:14 min
Exploring internal AI product initiatives and global engineering roles
Maria Apazoglou · Coffee With Developers
4:01 min
Managing application isolation via pluggable database models
Wei Hu · World Congress 2022
4:35 min
Learning resources and community engagement for AI engineers
Alfonso Graziano · Coffee With Developers
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