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BB
Benedikt Bischof
MLOps And AI Driven Development
over 4 years ago
Python AI Developer
OJUS LLC
United States
6 days 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
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source
Tech stack
LangGraph Framework
Amazon Web Services
Microsoft Azure
Django Web Framework
Python (Programming Language)
Natural Language Processing
Web Application Frameworks
Google Cloud
Flask (Web Framework)
Large Language Models
Prompt Engineering
Generative AI
+14 more
Backend
Agentic-AI
Git
Fastapi
Build Management
Containerization
Production Code
CrewAI
Machine Learning Operations
Virtual Agents
Restful APIs
Data Pipelines
Docker
Microservices
Job description
· Design and build AI-driven applications, data pipelines, and microservices using Python.
· Implement Retrieval-Augmented Generation (RAG) and orchestrate AI agents using tools like LangChain, LangGraph, or CrewAI.
· Integrate Large Language Models (LLMs) with enterprise vector databases and external REST APIs.
· Optimize backend performance and deploy production-ready code via Docker and cloud platforms (AWS, Azure, Google Cloud Platform).
Requirements
· 6+ years of total software experience with deep proficiency in Python.
· Hands-on experience with GenAI, NLP, prompt engineering, and vector stores.
· Knowledge of web frameworks such as FastAPI, Flask, or Django.
· Familiarity with MLOps practices, Git version control, and containerization
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 playlists2:08 min
Essential engineering roles in the generative AI space
Mary Grygleski · LIVE
4:04 min
Building practical AI agents using Google Gemini
Philipp Schmid · World Congress 2025
2:07 min
Inspecting default bridge architectures and custom Docker networks
Oliver Seitz · World Congress 2025
6:21 min
Investigating push inefficiencies with upstream Git experts
Jonathan Creamer · Coffee With Developers
39 sec
Python's dominance in building artificial intelligence application ecosystems
Tim Ruscica · Coffee With Developers
1:27 min
Moving beyond chat interfaces using intelligent agents
Viktoria Semaan · World Congress 2025
Videos
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Daniel Cranney
The State of WebDev AI 2025 Results: What Can We Learn?
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Michael Hunger
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9 months ago
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BB
Benedikt Bischof
MLOps – What’s the deal behind it?
about 4 years ago
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LM
Luis Minvielle
What Are Large Language Models?
almost 3 years ago
DC
Daniel Cranney
What is Agentic Programming and Why Should Developers Care?
about 1 year ago