Senior AI / Software Engineer (Python, OCR, LLM & GPU Systems)

NextGen Coding Company; New York (NY); Hybrid; USD 28,000 - 34,000; Part time

Job summary

NextGen Coding Company in New York City is seeking a Senior AI / Software Engineer (Python, OCR, LLM & GPU Systems) to build a large-scale document intelligence platform. Role involves Python, OCR, data pipelines, LLMs, search/RAG, AWS, and NVIDIA GPU infrastructure across on-prem and cloud deployments.

The ideal candidate will own end-to-end features from ingestion to NLP-driven retrieval, integrate Claude, Qwen, OpenAI, Gemini, and open-source models, and deploy locally on NVIDIA H100/H200

Qualifications

• Strong backend and data-engineering fundamentals.
• Production experience with large datasets and PDFs.
• Experience deploying Open Source models on NVIDIA GPU infrastructure.
• Experience with AWS (EC2, S3, OpenSearch, etc.).
• Docker and Linux proficiency.
• REST APIs and third-party integrations.

Responsibilities

• Build production Python services, APIs, and data-processing pipelines.
• Process large volumes of PDFs, images, and HTML data.
• Develop OCR, extraction, parsing, and classification workflows.
• Implement hybrid search, embeddings, and RAG with LLMs.
• Deploy and maintain AWS/cloud deployments.
• Write automated tests for OCR, extraction, and AI outputs.

Skills

Python

OCR

LLMs

GPU

AWS

Docker

Linux

REST APIs

Data pipelines

Tools

PyTorch

Hugging Face

CUDA

vLLM

Job description

Education: If you did your undergrad in India, save your time and DO NOT APPLY

You will have to submit a W-9 when hired, no OPT, W-8, or other types of sponsorship

Senior AI / Software Engineer (Python, OCR, LLM & GPU Systems)

NextGen Coding Company

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

Compensation: $20-$25/hour

Engagement Type: Part-Time, Approximately 20 Hours/Week

Opportunity: Potential to expand hours based on performance and project needs

Work Authorization: Candidates must be legally authorized to work in the United States under an arrangement compatible with a W-9 contractor engagement. NextGen Coding Company cannot provide OPT or employment/visa sponsorship for the role.

Role Overview

NextGen Coding Company is hiring a highly technical AI / Software Engineer in New York City to help build a large-scale document intelligence and AI platform.

The engineer will work heavily with Python, OCR, document processing, data pipelines, LLMs, search/RAG, AWS, and NVIDIA GPU infrastructure.

A critical requirement is supporting two versions of the platform:

• On-prem / air-gapped: running local models such as Qwen on NVIDIA H100/H200 infrastructure
• Cloud: running in AWS with Claude, Qwen, OpenAI, Gemini, and other LLM/model integrations

The underlying platform must be portable across both environments.

Responsibilities

• Build production Python services, APIs, and data-processing pipelines
• Process large volumes of PDFs, HTML, images, scans, and structured/unstructured data
• Build OCR, extraction, parsing, normalization, and document-classification pipelines
• Extract tables, entities, relationships, metadata, citations, and structured records
• Build ETL and high-volume batch-processing systems
• Develop hybrid search, embeddings, vector search, RAG, reranking, and evidence retrieval
• Integrate Claude, Qwen, OpenAI, Gemini, and open-source models
• Deploy and serve local LLMs on NVIDIA H100/H200 GPUs
• Work with vLLM, PyTorch, Hugging Face, CUDA, quantization, batching, and GPU inference optimization
• Build and maintain the AWS/cloud deployment
• Work with PostgreSQL, OpenSearch, S3, Redis, queues, and related data infrastructure
• Build APIs, webhooks, Stripe integrations, authentication, and third-party integrations
• Write automated tests covering OCR, extraction, retrieval, data pipelines, and AI outputs
• Debug complex AI, data, backend, and infrastructure issues
• Document architecture and implementation decisions

Required Experience

• Strong backend and data-engineering fundamentals
• Experience building production software
• Experience processing PDFs, images, and large datasets
• Production experience with LLMs, RAG, embeddings, and vector search
• Experience deploying open-source models on NVIDIA GPU infrastructure
• Understanding of H100/H200-class inference environments
• Strong AWS experience
• Docker and Linux
• REST APIs and third-party integrations
• Ability to independently own difficult engineering problems

Technical Stack

OCR / Documents: PaddleOCR, Tesseract, OpenCV, PyMuPDF, Docling or similar

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

Product: REST APIs, webhooks, authentication, Stripe, third-party integrations

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

Ideal Candidate

We are looking for someone who can be given thousands of pages of PDFs, scans, HTML, images, and other data plus access to an H100/H200 server and an AWS environment - and independently help engineer the system required to process, OCR, structure, search, analyze, and query the information using modern AI models.

The ideal candidate is stronger in Python, AI, data processing, OCR, backend systems, and infrastructure than traditional frontend development.

You should be comfortable moving between an OCR pipeline, Python data processing, Claude/AWS integration, Qwen running on an H100/H200, databases, APIs, and production infrastructure.

About NextGen Coding Company

NextGen Coding Company is a U.S.-based software engineering firm building custom software, AI systems, automation platforms, and enterprise applications.

Projects span AI/ML, document intelligence, data engineering, financial and compliance technology, cloud infrastructure, and enterprise software.

Application Requirements

Applicants should provide:

• Resume or LinkedIn
• GitHub and/or technical portfolio
• Examples of production AI/data systems built
• Experience with Python, OCR, LLMs, AWS, and GPU infrastructure

Qualified candidates will participate in a technical discussion and engineering review before engagement.