Unknown Company
AI Software Engineer — Python, Document Intelligence & AWS NextGen Coding Company
Engagement: Contract with potential for long-term engagement
S. citizen and able to complete a W-9. No visa sponsorship is available for the role.
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.
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.
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
Extract text, tables, entities, metadata, relationships, and structured records
Build ETL and asynchronous data-processing pipelines
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
Write tests for OCR, extraction, retrieval, data processing, APIs, and AI outputs
Diagnose production failures and improve system reliability and performance
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.
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.”
Strong candidates will have experience building real production systems involving Python, data pipelines, OCR/document processing, AWS, or AI.
S. citizen
Strong Python engineering ability
Production AWS experience
Experience with OCR, document processing, data engineering, or similar high-volume processing systems
Strong backend/API/database fundamentals
Able to complete a technical engineering screen
Application Review — Resume, LinkedIn, GitHub, and/or examples of systems you have built.
Technical Screen — Python, OCR/document processing, AWS, data architecture, and LLM engineering.
In-Person NYC Meeting — Meet the team, walk through the project, and discuss how you would approach real engineering problems from the platform.
We are looking for someone who can join quickly, take ownership, and immediately contribute to a technically ambitious production AI system.
based software engineering firm building custom software, AI systems, automation platforms, data infrastructure, and enterprise applications.
Our engineers work on real production systems across AI/ML, document intelligence, data engineering, financial and compliance technology, and cloud infrastructure.
Resume or LinkedIn
A short description of the most technically difficult production system you have built
Any relevant experience with Python, OCR/document processing, AWS, and LLMs
Engagement: Contract with potential for long-term engagement
S. citizen and able to complete a W-9. No visa sponsorship is available for the role.
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.
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.
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
Extract text, tables, entities, metadata, relationships, and structured records
Build ETL and asynchronous data-processing pipelines
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
Write tests for OCR, extraction, retrieval, data processing, APIs, and AI outputs
Diagnose production failures and improve system reliability and performance
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.
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.”
Strong candidates will have experience building real production systems involving Python, data pipelines, OCR/document processing, AWS, or AI.
S. citizen
Strong Python engineering ability
Production AWS experience
Experience with OCR, document processing, data engineering, or similar high-volume processing systems
Strong backend/API/database fundamentals
Able to complete a technical engineering screen
Application Review — Resume, LinkedIn, GitHub, and/or examples of systems you have built.
Technical Screen — Python, OCR/document processing, AWS, data architecture, and LLM engineering.
In-Person NYC Meeting — Meet the team, walk through the project, and discuss how you would approach real engineering problems from the platform.
We are looking for someone who can join quickly, take ownership, and immediately contribute to a technically ambitious production AI system.
based software engineering firm building custom software, AI systems, automation platforms, data infrastructure, and enterprise applications.
Our engineers work on real production systems across AI/ML, document intelligence, data engineering, financial and compliance technology, and cloud infrastructure.
Resume or LinkedIn
A short description of the most technically difficult production system you have built
Any relevant experience with Python, OCR/document processing, AWS, and LLMs
AI Software Engineer — Python, Document Intelligence & AWS (Remote) (New York City Metropolitan Area) in new york at Unknown Company
This position is listed as contract and onsite.