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Tesseract Jobs (NOW HIRING)

Euclid Innovations

ML Engineer

Charlotte, NC · On-site

Required : • Proficiency in Python and ML libraries (TensorFlow, PyTorch, Hugging Face, SpaCy, etc.) • Experience with OCR tools (e.g., Tesseract, AWS Textract, Google Vision) • Strong ...

Dascena

Integration Engineer

Oakland, CA · On-site +1

$119K - $160K/yr

Experience with Tesseract OCR * Keen interest in healthcare technology * Strong work ethic Please submit a Cover Letter outlining your experience with the required qualifications above. Additional ...

Dascena

Integration Engineer

Oakland, CA · On-site

$119K - $160K/yr

Experience with Tesseract OCR * Keen interest in healthcare technology * Strong work ethic Please submit a Cover Letter outlining your experience with the required qualifications above. Additional ...

Software People, Inc.

AI Developer

Lansing, MI · On-site

Skills Needed * 3+years in TensorFlow, PyTorch, Keras, or Scikit-learn. * 3+ years in microservices. * 3+years in SpaCy, NLTK, or Hugging Face's * 3+years in Tesseract, Google Vision API, or AWS ...

Inficare Technologies

AI Engineer - Generative AI

LangGraph, AutoGen / CrewAI, Azure AI Search, Cosmos DB, PostgreSQL, Redis, Kubernetes, MLflow, Hugging Face, OCR (Azure Document Intelligence, Tesseract), CI/CD pipelines, MLOps, Transformers, Azure ...

Interface

Forward Deployed Engineer

San Francisco, CA · On-site

LFG who you are: * make two-way door decisions quickly * fix things before being told they're broken * be comfortable with our stack (tsx, py, docker, llms, yolo, tesseract, postgresql, aws, react ...

Interface

Founding Engineer

San Francisco, CA · On-site

LFG who you are: * make two-way door decisions quickly * fix things before being told they're broken * be comfortable with our stack (tsx, py, docker, llms, yolo, tesseract, postgresql, aws, react ...

Coral AI

ML Engineer - New York

New York, NY · On-site

Familiarity with OCR toolkits (Tesseract, AWS Textract, Google Vision API, etc.) * Background in productionizing ML models in high-compliance environments What We Offer * The opportunity to work on ...

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All JobsTesseract Jobs

Tesseract information

What is a Tesseract?

Tesseract jobs typically refer to roles related to the Tesseract OCR (Optical Character Recognition) engine, which is an open-source software used to convert images containing text into editable and searchable data. Jobs involving Tesseract can include positions such as software developer, machine learning engineer, or data scientist, where the focus is on integrating, optimizing, or enhancing OCR capabilities in various applications. Professionals in these roles often work on image preprocessing, text extraction, and improving the accuracy of OCR results for different languages and formats.

What skills and qualifications are needed to work with Tesseract?

To thrive as a Tesseract OCR Specialist, you need a solid understanding of optical character recognition principles, image preprocessing, and programming languages like Python or C++. Familiarity with Tesseract OCR engine, related libraries (such as OpenCV), and experience with document digitization tools or APIs is typical. Strong analytical thinking, problem-solving skills, and attention to detail help optimize OCR accuracy and troubleshoot extraction issues. These skills ensure efficient and accurate digitization of documents, enabling organizations to automate data entry and improve information accessibility.

What challenges do professionals face when working with the Tesseract OCR engine, and how can they be addressed?

A common challenge when working with the Tesseract OCR engine is dealing with low-quality or complex images, which can lead to inaccurate text extraction. Addressing this often requires pre-processing steps such as image deskewing, noise reduction, and adjusting contrast. Additionally, customizing Tesseract with language data files and fine-tuning settings can significantly improve accuracy for specific use cases. Collaborating with software developers, data scientists, and QA testers is typical, as integrating OCR effectively usually involves cross-functional teamwork.

What is the difference between Tesseract vs OCR Technician?

AspectTesseractOCR Technician
Required CredentialsBasic computer skills, familiarity with OCR softwareTechnical training or certification in OCR or image processing
Work EnvironmentSoftware development, data processingData entry centers, document processing facilities
Industry UsageUsed by developers for OCR projectsEmployed in document digitization and data extraction roles
Common Search/ComparisonYesYes

While Tesseract is an open-source OCR engine used primarily by developers for integrating OCR into applications, OCR Technicians are professionals who operate OCR systems in data entry or document processing environments. Tesseract requires programming knowledge, whereas OCR Technicians focus on manual or semi-automated data extraction tasks.

More about Tesseract jobs

What states have the most Tesseract jobs?

States with the most job openings for Tesseract jobs include:

What job categories do people searching Tesseract jobs look for?

The top searched job categories for Tesseract jobs are:

Tesseract jobs near you
Infographic showing various Tesseract job openings in the United States as of August 2026, with employment types broken down into 25% Full Time, 25% Temporary, and 50% Contract. Highlights an 100% In-person job distribution.

AI Solution Engineer / Python Developer _ Atlanta, GA / Dallas, TX / Mason, OH

Tech Mirrors

Mason, OH • On-site

$120 - $180/hr

Other

Posted 4 days ago

Job description

AI Solution Engineer / Python Developer

Location: Atlanta, GA / Dallas, TX / Mason, OH (Onsite role in any of these locations)

Duration: July 30, 2026 – January 30, 2027 (6 Months)

Experience Required: 4–8 Years

Job Summary

TCS is seeking a highly skilled AI Solution Engineer / Python Developer with strong expertise in Python, FastAPI, LangChain, LangGraph, and Tesseract OCR to build AI‑powered, cloud‑native applications. The ideal candidate should have experience designing scalable microservices, integrating LLMs, developing AI workflows, and deploying secure, production‑ready AI solutions on AWS.

Must‑Have Skills Programming & Backend
  • Strong proficiency in Python
  • Hands‑on experience with FastAPI
  • Experience developing RESTful APIs
  • Strong understanding of Microservices Architecture
  • Experience with Asynchronous Processing
AI & Generative AI
  • LangChain
  • LangGraph
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval‑Augmented Generation (RAG)
  • Embeddings
  • Structured Outputs
  • AI Agent Development
  • Workflow Orchestration
  • Tool/API Orchestration
  • Intent Routing
  • AI‑assisted Decision Flows
  • OCR & Document Processing
Tesseract OCR
  • Tesseract OCR
  • Document Scanning
  • Text Extraction
  • PDF Processing
  • Image Processing
  • Document Ingestion Pipelines
Cloud & DevOps
  • AWS Lambda
  • Amazon SQS
  • Amazon SNS
  • Cloud‑native Architecture
  • Event‑driven Architecture
  • API Management
  • Apigee API Gateway
  • API Proxy Development
  • API Policies
  • Routing
  • OAuth Security
  • KVMs
  • API Products
  • API Deployment
  • Security
  • AI Guardrails
  • Prompt Injection Prevention
  • PII/PHI Protection
  • Response Validation
  • Logging & Monitoring
Good‑to‑Have Skills
  • OpenAI
  • Azure OpenAI
  • Docker
  • Vector Databases
  • Embeddings
  • Document Processing Pipelines
  • Cloud Platforms
Roles & Responsibilities
  • Design, develop, and maintain scalable REST APIs using Python and FastAPI.
  • Build and orchestrate LLM‑based AI workflows using LangChain and LangGraph.
  • Integrate Tesseract OCR for document scanning, text extraction, and preprocessing.
  • Develop backend services for AI/ML‑driven applications.
  • Build prompt workflows, AI agents, and state graphs for complex reasoning pipelines.
  • Design cloud‑native, event‑driven microservices using AWS services.
  • Develop secure API‑driven AI solutions using Apigee API Gateway.
  • Collaborate with Data Scientists, ML Engineers, and Frontend Developers.
  • Optimize APIs and AI processing pipelines for performance, scalability, and reliability.
  • Perform unit testing, code reviews, and documentation.
  • Implement AI security best practices, including guardrails, PII/PHI protection, prompt injection prevention, and monitoring.
Required Technical Skills
  • Python
  • FastAPI
  • LangChain
  • LangGraph
  • Tesseract OCR
  • REST APIs
  • Microservices
  • AWS Lambda
  • Amazon SQS
  • Amazon SNS
  • Apigee API Gateway
  • OAuth
  • Prompt Engineering
  • RAG
  • Embeddings
  • AI Agents
  • Event‑driven Architecture
Preferred Technical Skills
  • OpenAI / Azure OpenAI
  • Docker
  • Vector Databases
  • Document Processing
  • Cloud Platforms
Education

Bachelor’s or Master degree in Computer Science, Engineering, or a related field.

Primary Skills
  • Python
  • FastAPI
  • LangChain
  • LangGraph
  • Tesseract OCR
  • AWS
  • Apigee
  • Generative AI
  • LLM Integration
  • REST API Development
  • Microservices
  • AI Solution Engineering
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