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Remote Ibm Integration Bus Developer Jobs in Utah

Adobe

Device Experience Platform Developer

Lehi, UT · Remote

$115K - $218K/yr

Develop Remote Actions using PowerShell. Build workflows using Nexthink Flow. Create NQL queries. Integration & Engineering Enablement: Integrate Nexthink with Intune, M365, APIs, and IT systems. ...

Quora

iOS Engineer -Remote

Orem, UT · Remote

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

iOS Engineer -Remote

West Jordan, UT · Remote

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

iOS Engineer -Remote

Salt Lake City, UT · Remote

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

iOS Engineer -Remote

Logan, UT · Remote

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

iOS Engineer -Remote

Ogden, UT · Remote

$166K - $191K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Akraya Inc.

Gaming Software Engineer: 25-05356

Lehi, UT · On-site +1

$101.34 - $105.63/hr

Remote as per CST time zone Pay Range: $101.34 - $105.63 per hour on w-2 Job Summary: Join our ... Drive the integration of third-party SDKs and APIs to enhance game functionality. * Ensure reliable ...

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Remote Ibm Integration Bus Developer information

What are some common challenges faced by Remote IBM Integration Bus Developers, and how can they be addressed?

Remote IBM Integration Bus Developers often face challenges related to effective communication with distributed teams, managing complex integration workflows across different environments, and ensuring secure data transmission. To overcome these, it is beneficial to establish clear documentation standards, participate in regular virtual meetings, and utilize robust collaboration tools. Additionally, staying updated with IBM Integration Bus best practices and leveraging cloud-based development environments can significantly streamline workflows and reduce integration issues.

What is a Remote IBM Integration Bus Developer?

A Remote IBM Integration Bus (IIB) Developer is a software professional who specializes in designing, developing, and maintaining integration solutions using IBM Integration Bus (now IBM App Connect Enterprise). Working remotely, they connect different applications and services within an organization, ensuring seamless data flow and communication. Their responsibilities include creating message flows, troubleshooting integration issues, and collaborating with teams to implement business requirements. These developers typically work from home or other remote locations, using online tools to stay connected with their teams.

What is the difference between Remote Ibm Integration Bus Developer vs Remote MuleSoft Developer?

AspectRemote Ibm Integration Bus DeveloperRemote MuleSoft Developer
CertificationsIBM Certified Developer, Integration Bus certificationsMuleSoft Certified Developer, MuleSoft certifications
Work EnvironmentPrimarily in enterprise IT teams, using IBM Integration Bus (IIB)In cloud and enterprise environments, using MuleSoft Anypoint Platform
Industry UsageFinancial, healthcare, and large enterprises with IBM infrastructureVaried industries adopting API-led connectivity and cloud integration

Both roles focus on enterprise integration but differ in platform expertise and industry focus. The IBM Integration Bus Developer specializes in IBM's integration tools, while the MuleSoft Developer works with MuleSoft's API and integration platform. Your choice depends on the company's technology stack and your certification background.

What are the key skills and qualifications needed to thrive as a Remote IBM Integration Bus Developer, and why are they important?

A Remote IBM Integration Bus Developer needs strong expertise in enterprise integration, middleware development, and proficiency in programming languages such as Java and ESQL, often supported by a degree in computer science or related fields. Experience with tools like IBM App Connect Enterprise (formerly IIB), message brokers, and knowledge of related certifications such as IBM Certified Integration Developer are typically required. Excellent problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and troubleshooting complex integrations. These skills ensure seamless data flow across systems, minimize downtime, and enable efficient teamwork in distributed IT environments.
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Remote Ibm Integration Bus Developer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Logan, UT • Remote

Full-time

Posted 11 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

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

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply