Intermediate Full-Stack Developer

Role Overview

Role Overview

We’re hiring an Intermediate Software Developer to support our Senior Engineer and our AI/automation roadmap. This role is hands-on: building product features, internal tools, and customer pilots that connect to existing enterprise systems and data sources. You’ll work closely with a Senior developer and Product Manager to take ideas from spec → prototype → production-ready releases.

What you’ll do

• Build and ship features end-to-end (backend services, integrations, and light frontend where needed)
• Develop and maintain APIs, background jobs, and data pipelines (imports/exports, CSVs third-party integrations)
• Help turn AI prototypes into reliable product components (instrumentation, guardrails testing, deployment)
• Write clean, reviewed code with strong documentation so the team can move faster
• Troubleshoot issues in dev/test/prod, improve reliability, and reduce manual support burden
• Collaborate with product and customer-facing teams to iterate quickly based on real feedback

What success looks like (first 60–90 days)

• You’re shipping weekly, unblocking the Senior Developer from day-to-day implementation
• At least 1–2 pilot features/tools are delivered with solid logging/testing and clear handoff docs
• Integration work (data ingestion, exports, APIs) becomes predictable and repeatable
• Full understanding of our OCR app pipeline

Requirements

Must-have:

• 4–6+ years experience building software in a professional environment
• Strong fundamentals: data structures, debugging, readable code, and pragmatic problem-solving
• Experience building and consuming APIs (REST), working with databases (SQL), and integrating external systems
• Comfortable with Git workflows, code reviews, and writing tests (unit + basic integration)
• Able to work independently from a ticket/spec and ask good questions early

Nice-to-have (one or more)

• Python (FastAPI), Node.js (Express/Nest), or similar backend frameworks
• TypeScript + React (or willingness to do “enough frontend” to deliver features)
• Docker, CI/CD, and cloud deployment experience (AWS/Azure/GCP)
• Experience handling sensitive/regulated data (PII), security best practices, auth/roles
• Exposure to AI-enabled apps (LLM APIs, RAG/search, OCR, prompt/tool calling, evals) — not required, but a plus
• OCR systems (Google Document AI, AWS Textract, Azure Form Recognizer, Tesseract, PaddleOCR, etc.)
• Search or indexing layers (Postgres full-text, OpenSearch, Elasticsearch, vector search) (because search is also one of core function for AI DMS )

Tech Stack

• AWS
• Azure
• Cloud
• Docker
• ElasticSearch
• Google Cloud Platform
• JavaScript
• Node.js
• Postgres
• Python
• React
• SQL
• TypeScript