GitRole Summary
We are hiring a software engineer to build and maintain automation workflows where documents (PDFs, files) trigger backend actions across systems.
This is a hands-on engineering role focused on workflow automation, document/PDF processing, and API integrations.
This is not a research role and not a chatbot-only role.
Responsibilities
- Build automation workflows using Python
- Process PDFs and documents to extract structured data
- Integrate OCR tools for scanned documents when required
- Develop API integrations with internal and third-party systems
- Handle webhooks and background jobs
- Add logging, error handling, and retry logic for production workflows
Required Skills
- 2–3 years of experience with Python
- Experience with workflow automation or backend services
- Hands-on document processing or PDF parsing experience
- Strong understanding of API integration
- Experience handling webhooks or async/background tasks
- Working knowledge of Git
- OCR integration experience
- Exposure to OpenAI or LLM APIs
- Experience with automation tools such as n8n, Zapier, or Make
- Basic AWS exposure (Lambda, S3)
Shubham Vishwakarma
Full Stack Developer - Averlon
About Palcode.ai
About
The Company
At Palcode.ai, We're on a mission to fix the massive inefficiencies in pre-construction. Think about it - in a $10 trillion industry, estimators still spend weeks analyzing bids, project managers struggle with scattered data, and costly mistakes slip through complex contracts. We're fixing this with purpose-built AI agents that work. Our platform can do “magic” to Preconstruction workflows from Weeks to Hours. It's not just about AI – it's about bringing real, measurable impact to an industry ready for change. We are backed by names like AWS for Startups, Upekkha Accelerator, and Microsoft for Startups.
Tech stack
Machine Learning (ML)
Amazon Web Services (AWS)Candid answers by the company
- Tackle Complex Problems: Build AI that reads between the lines of construction bids, spots hidden risks in contracts, and makes sense of fragmented project data
- High-Impact Code: Your code won't sit in a backlog – it goes straight to estimators and project managers who need it yesterday
- Tech Challenges That Matter: Design systems that process thousands of construction documents, handle real-time pricing data, and make intelligent decisions
- Build & Own: Shape our entire tech stack, from data processing pipelines to AI model deployment
- Quick Impact: Small team, huge responsibility. Your solutions directly impact project decisions worth millions
- Learn & Grow: Master the intersection of AI, cloud architecture, and construction tech while working with founders who've built and scaled construction software
Company social profiles
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon