AI Software Engineer — Python, Document Intelligence & AWS

AI Software Engineer — Python, Document Intelligence & AWS

NextGen Coding Company

Location: New York City — Hybrid / In-Person Required

Compensation: $30/hour

Hours: 40 Hours/Week

Engagement: Contract with potential for long-term engagement

Eligibility: Must be a U.S. citizen and able to complete a W-9. No visa sponsorship is available for the role.

Role Overview

NextGen Coding Company is hiring an AI Software Engineer in New York City to join an active enterprise AI project focused on document intelligence, large-scale data processing, and evidence-backed AI analysis.

The work is hands-on and engineering-heavy. You will help build a cloud platform that ingests thousands of pages of PDFs, scans, images, HTML, and other data; performs OCR and Python-based processing; structures and indexes the resulting information; and makes the data searchable and usable by modern LLMs.

We are looking for a strong builder , not someone whose AI experience consists primarily of calling an LLM API.

You should be comfortable jumping directly into an existing project, understanding the architecture, debugging difficult data-processing problems, and shipping production code.

What You’ll Work On

• Build production systems primarily in Python
• Build and improve large-scale document ingestion pipelines
• Process PDFs, scans, images, HTML, and other file formats
• Build OCR and document-intelligence workflows
• Classify incoming documents and route them through appropriate processing pipelines
• Build Python post-processing to clean, normalize, validate, and structure extracted information
• Solve large-file processing issues using chunking, queues, parallel processing, retries, and recovery
• Extract text, tables, entities, metadata, relationships, and structured records
• Build ETL and asynchronous data-processing pipelines
• Build hybrid search, vector search, embeddings, RAG, and reranking
• Integrate Claude, OpenAI, Gemini, Qwen, and other LLMs
• Build evidence and citation systems connecting AI outputs to original source material
• Build and maintain production infrastructure in AWS
• Work with PostgreSQL, OpenSearch, S3, queues, caching, and APIs
• Build integrations including authentication, webhooks, Stripe, and third-party services
• Write tests for OCR, extraction, retrieval, data processing, APIs, and AI outputs
• Diagnose production failures and improve system reliability and performance

Core Technical Skills

Python: FastAPI, data processing, ETL, APIs, asynchronous/background jobs

Document Intelligence: OCR, PDF parsing, scanned documents, OpenCV, PyMuPDF, PaddleOCR, Tesseract, Docling, Unstructured, or similar tools

AI: Claude, OpenAI, Gemini, Qwen, RAG, embeddings, structured outputs, reranking, model orchestration

Data: PostgreSQL, SQL, OpenSearch/Elasticsearch, vector databases, Redis

AWS: S3, RDS, OpenSearch, Bedrock, EC2/ECS/EKS, Lambda, SQS, IAM, CloudWatch

Infrastructure: Docker, Linux, CI/CD, production cloud deployments

Frontend experience with React, Next.js, and TypeScript is helpful but is not the primary focus.

Who We Want

We want someone who can be given a difficult engineering problem and figure it out.

For example:

“We have several thousand pages across PDFs, scans, images, and other file formats. Large files are processing inconsistently. Build a reliable AWS pipeline that classifies the files, performs OCR where required, cleans and structures the output with Python, handles failures, indexes the information, and makes the evidence usable by an LLM.”

You should be able to break a problem like the one above into an architecture and then actually build it.

Strong candidates will have experience building real production systems involving Python, data pipelines, OCR/document processing, AWS, or AI.

Requirements

• Must be based in New York City
• Must be a U.S. citizen
• Must be available approximately 40 hours per week
• Strong Python engineering ability
• Production AWS experience
• Experience with OCR, document processing, data engineering, or similar high-volume processing systems
• Experience integrating modern LLMs
• Strong backend/API/database fundamentals
• Comfortable independently debugging complex engineering problems
• Able to meet with our team in person in NYC
• Able to complete a technical engineering screen

Interview Process

We are intentionally keeping the pr…