Looking for an LLM Developer with knowledge of Agentic AI Frameworks like CrewAI and AutoGen, RAGs
About the role
Hi,
I am the Co-founder of ProjectPro.io - we help Data Scientists learn and get their work done faster by providing ready-made reusable project templates.
Role Overview:
- Position: Part-time Freelance LLM Developer
- Duration: Approximately 4–6 weeks per project
- Compensation: Competitive, per-project basis
Note -
- The exact amount of compensation will be based on the use case, its complexity, and several other factors.
- Experienced Professionals preferred.
We're expanding our portfolio to include Agentic AI projects. These projects will leverage cutting-edge multi-agent frameworks such as CrewAI and AutoGen to simulate real-world scenarios and workflows.
- Responsibilities:
- Design and develop LLM-based projects utilizing agentic AI frameworks (e.g., CrewAI, AutoGen, LangGraph etc)
- Implement scalable LLM solutions on cloud platforms (AWS, Azure)
- Incorporate Retrieval-Augmented Generation (RAG) techniques for enhanced data retrieval
- Produce a series of explanatory videos to guide users through the project solutions
Required Qualifications:
- Strong foundation in Deep Learning and hands-on experience with Large Language Models (LLMs)
- Proficiency in agentic AI frameworks such as CrewAI, AutoGen, or similar
- Experience with cloud platforms like AWS or Azure for deploying scalable LLM applications
- Ability to create clear and concise instructional videos
Thanks, Binny
About ProjectPro
We are a work-acceleration platform - we help Data Scientists get their work done faster and learn in the process.
Required skills
Other roles at ProjectPro
Job details
Salary
$500 - $1,400
Location
Remote
Experience
1+ years
Funding
Total raised
$230K
Last stage
Seed
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.
