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Opt Cpt Tech Jobs in New York (NOW HIRING)

Jobsbridge

UI Developer

Warren, NJ

$52 - $67.50/hr

Company Description Jobs Bridge Inc is among the fastest growing IT staffing / professional ... Additional Information Multiple Openings for OPT/CPT/H4/L2/EAD/Citizen'

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Opt Cpt Tech information

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$5

$18

$37

How much do opt cpt tech jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for opt cpt tech in New York is $18.98, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $20.53 per hour, depending on experience, location, and employer.

What is an Opt CPT Tech?

An Opt Cpt Tech, or Optical Coating and Photonics Technician, is responsible for applying specialized coatings to optical components used in lenses, mirrors, and other precision optics. They operate and maintain coating equipment, ensure quality control, and follow industry specifications to enhance optical performance. This role is commonly found in industries like aerospace, medical devices, and telecommunications. Strong attention to detail and knowledge of vacuum deposition processes are essential for success in this field.

What are the typical daily responsibilities of an Opt CPT Tech?

As an Optical Capture Technician, your daily responsibilities usually include setting up and operating optical imaging equipment, calibrating scanners or cameras, and ensuring data is accurately captured and archived. You may collaborate closely with engineers, IT professionals, and quality control teams to troubleshoot issues and maintain optimal equipment performance. Keeping detailed records of imaging activities, following protocols for data management, and participating in process improvement initiatives are also common. This role offers a dynamic blend of technical tasks and teamwork, making it ideal for detail-oriented professionals who enjoy hands-on work.

What are the key skills and qualifications needed to thrive in the Opt CPT Tech position, and why are they important?

To thrive as an Optical Capture Technician (Opt Cpt Tech), you need a solid understanding of optical imaging systems, attention to detail, and a background in imaging technology or a related technical field. Familiarity with optical scanners, capture software, and data management systems is typically important, and certifications in imaging or information technology can be advantageous. Strong problem-solving abilities, communication skills, and the capacity to work collaboratively are valuable soft skills in this role. These competencies ensure the accurate capture, processing, and management of visual data essential for team projects and organizational goals.

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What job categories do people searching Opt Cpt Tech jobs in New York look for?

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What cities in New York are hiring for Opt Cpt Tech jobs?

Cities in New York with the most Opt Cpt Tech job openings:

Opt Cpt Tech jobs near you
Infographic showing various Opt Cpt Tech job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 10% Part Time, 9% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $39,468 per year, or $19 per hour.

AI engineer (NO OPT/CPT) - Full time role

Apetan Consulting llc

Newark, NJ • On-site

$102K - $139K/yr

Full-time

Medical, Life

Posted 15 days ago

Key responsibilities

  • Design, develop, and deploy production-ready Generative AI and LLM-powered applications.

  • Build scalable Retrieval-Augmented Generation (RAG) pipelines and semantic search solutions using vector databases.

  • Develop AI agents, workflow automation, and integrate LLMs into enterprise applications.

Job description

Position: AI Engineer
Location: NY/NJ (Remote with Occasion Travel )
Type: Full time
Job Description-:

Role Overview

seeking a passionate and innovative AI Engineer to design, develop, and

deploy cutting-edge AI and Generative AI solutions. The ideal candidate will have strong

expertise in machine learning, large language models (LLMs), AI frameworks, and cloudnative technologies. You will work closely with product managers, data scientists,

architects, and engineering teams to build intelligent systems that drive business value.

Responsibilities

• Design, develop, and deploy production-ready Generative AI and LLM-powered applications.

• Build scalable Retrieval-Augmented Generation (RAG) pipelines using enterprise knowledge sources.

• Develop AI agents and workflow automation using LangChain, LangGraph, or similar orchestration frameworks.

• Integrate LLMs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, etc.) into enterprise applications.

• Build and optimize data pipelines using Databricks, Snowflake, and AWS services.

• Design semantic search solutions using vector databases such as Pinecone, Weaviate, Chroma, or FAISS.

• Develop REST APIs and backend services to expose AI capabilities.

• Collaborate with data engineering teams to prepare, transform, and govern structured and unstructured healthcare data.

• Ensure AI solutions meet security, compliance, and privacy requirements, including HIPAA where applicable.

• Optimize model performance, latency, accuracy, and cost.

• Participate in architecture reviews, code reviews, and technical design sessions.

• Stay current with emerging AI technologies and recommend best practices for enterprise adoption.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or a related field.

• 5+ years of software engineering experience.

• 3+ years of experience building AI/ML or Generative AI applications.

• Strong programming skills in Python.

• Experience building production applications using:

o LangChain

o LangGraph (preferred)

o RAG architectures

o Prompt Engineering

o AI Agents

• Hands-on experience with:

o Databricks

o Snowflake

o AWS (Bedrock, S3, Lambda, ECS/EKS, SageMaker, IAM)

• Experience with vector databases such as Pinecone, Weaviate, FAISS, Chroma, or Milvus.

• Experience integrating enterprise data sources and APIs.

• Knowledge of MLOps and model deployment best practices.

• Experience with Docker, Kubernetes, and CI/CD pipelines.

• Strong understanding of REST APIs and microservices architecture.

• Familiarity with Git and Agile development methodologies.

Preferred Qualifications

• Previous experience in Healthcare, Life Sciences, HealthTech, or Health Insurance.

• Experience working with HIPAA-compliant systems and PHI.

• Knowledge of FHIR, HL7, Epic, Cerner, or other healthcare interoperability standards.

• Experience building AI-powered clinical assistants, patient engagement platforms, claims automation, or healthcare knowledge systems.

• Experience evaluating LLM performance using frameworks such as Ragas, DeepEval, or LangSmith.

• Familiarity with fine-tuning, embeddings, and model evaluation techniques.

• Exposure to multi-agent AI systems and agentic workflows.