Salary: $1,000 per month
Payment: Bi-weekly (~$500 mid-month and ~$500 end of month)
Experience Required: Practical experience in Document Intelligence work, Python and General Software Engineering.
Working Hours: 7:00 AM PST – 4:00 PM PST (US-Pacific Standard Time, Not Negotiable)
Role Overview:
We are looking for an AI Engineer to work on document intelligence systems powered by LLMs. The role involves building and improving pipelines that process documents and extract structured information using modern GenAI tools.
Responsibilities:
\- Work on document intelligence pipelines
\- Use LLM APIs and open-source LLMs
\- Implement document preprocessing for LLM inputs
\- Work with OCR pipelines
\- Deploy and serve models using vLLM
\- Build solutions using Python
\- Contribute in technical discussions and architectural decisions with practical solutions.
\- Use tools like Claude Code / Codex to accelerate development and code understanding (claude code/codex will be provided)
Requirements:
Practical experience working with AI / LLM-based systems
Strong knowledge of:
\- LLM APIs and related concepts
\- Document pre-processing
\- OCR workflows
\- Python
\- Open-source LLM serving (vLLM preferred)
\- Ability to independently propose solutions and participate in architecture discussions
What to Expect:
\- You will get hands-on experience building real-world GenAI systems for document intelligence
\- A low-pressure environment compared to fast-moving startups but requires availability between 7 AM PST to 4 PM PST
\- Collaboration with a small engineering team
Onboarding Process:
\- First 4 weeks you will work alongside an existing engineer
\- Focus on understanding the codebase and responsibilities
\- Ask questions and learn expected quality standards
\- Fill any knowledge gaps required for the role
By week 4, you are expected to start working independently
Important Note:
You will need to attend two daily meetings, one at 8:00 AM PST (stand-up call) and another at 3:00 PM PST (Discussing any blockers/issues). You should be prepare for both with clear notes on what to share.
Interested Candidates can Apply here.