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Remote Video Game Software Engineer Jobs in Connecticut

The Hartford

Principal AI Engineer

Hartford, CT · On-site +1

Principal Software Engineer - IE06GE We're determined to make a difference and are proud to be an ... This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ...

Onward Search

Creative / Game Recruiter

Fairfield, CT · Remote

$50K - $65K/yr

... Programming, Game Design, Unreal Engine, Unity, Production, QA, and Live Operations. * Strong ... Remote-first work environment with access to industry-leading recruiting tools and resources.

Onward Search

Creative / Game Recruiter

Fairfield, CT · Remote

$50K - $65K/yr

... Programming, Game Design, Unreal Engine, Unity, Production, QA, and Live Operations. * Strong ... Remote-first work environment with access to industry-leading recruiting tools and resources.

Aequor

$115K - $138K/yr

100% Remote Please source at open market rate This is a job template for special exceptions. ABOUT ... Familiarity with software development practices, version control, GitHub, APIs, testing frameworks ...

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Remote Video Game Software Engineer information

What is the difference between Remote Video Game Software Engineer vs Remote Mobile App Developer?

AspectRemote Video Game Software EngineerRemote Mobile App Developer
Required CredentialsBachelor's in Computer Science, experience with game engines (Unity, Unreal)Bachelor's in Computer Science or related, experience with iOS/Android SDKs
Work EnvironmentGame studios, remote teams focused on gaming projectsTech companies, startups, remote teams developing mobile apps
Industry UsageGaming industry, entertainmentMobile technology, consumer apps
Common Search/ComparisonYesYes

The main difference between a Remote Video Game Software Engineer and a Remote Mobile App Developer lies in their focus and expertise. Video game engineers specialize in creating interactive gaming experiences using game engines, while mobile app developers focus on building applications for smartphones and tablets. Both roles require programming skills and remote work experience, but their target platforms and industry applications differ.

What are popular job titles related to Remote Video Game Software Engineer jobs in Connecticut? For Remote Video Game Software Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Video Game Software Engineer jobs in Connecticut look for? The top searched job categories for Remote Video Game Software Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Remote Video Game Software Engineer jobs? Cities in Connecticut with the most Remote Video Game Software Engineer job openings:
Remote Video Game Software Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Hartford, CT • Remote

Full-time

Re-posted 16 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