Mindlance
100% Remote
*Temp to Hire (Permanent Salary = $170,000/yr.)
Important Notes from Hiring Manager: o Proven experience as a Generative AI Developer, with a strong portfolio of AI-driven projects. o Proficiency in programming languages such as Python, JavaScript, or similar. o Experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar. o Strong understanding of model fine-tuning and experience in adapting models for specific use cases. o Experience with full-stack development, including front-end (e.g., React, Angular, Vue.js) and back-end (e.g., Node.js, Django, Flask) technologies. o Familiarity with retrieval-augmented generation (RAG) techniques and integrating external knowledge sources. o Knowledge of multi-agent systems and their application in AI workflows. o Experience with natural language processing, computer vision, or other AI disciplines relevant to generative AI. o Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes. o Experience with database technologies such as SQL and NoSQL databases. o Understanding of CI/CD pipelines and tools.
Background Requirement: GuideWell Standard v3 Interview Comments: 2 round interviews (both MS Teams video/audio)
Job Description: We are at the forefront of innovation, leveraging cutting-edge technology to transform industries and deliver exceptional experiences. Our team is passionate about creating AI-driven solutions that solve real-world problems. We are looking for a talented Generative AI Developer with full-stack capabilities to join our dynamic team and help us push the boundaries of what's possible.
Job Description: As a Generative AI Architect, you will play a key role in designing, developing, and deploying AI-powered applications. You will work closely with cross-functional teams to build scalable, efficient, and innovative solutions that integrate seamlessly into our technology stack. Your expertise in model fine-tuning, retrieval-augmented generation (RAG) architecture, and multi-agent systems will be crucial to our AI initiatives.
Key Responsibilities: o Design, develop, and implement generative AI models and algorithms to solve complex problems. o Fine-tune pre-trained models to enhance their performance and adapt them to specific tasks. o Develop and integrate Retrieval-Augmented Generation (RAG) architectures to improve model performance by leveraging external data sources. o Design and implement multi-agent systems to facilitate complex AI interactions and enhance automation capabilities. o Work collaboratively with data scientists, UX/UI designers, and product managers to create end-to-end AI-driven applications. o Develop and maintain robust, scalable, and efficient full-stack applications using modern technologies. o Integrate AI models into existing systems and ensure smooth deployment and operation. o Optimize AI models and full-stack applications for performance and scalability. o Stay up-to-date with the latest advancements in AI and full-stack development to continually enhance our technology stack. o Troubleshoot and resolve issues related to AI models and application performance. o Contribute to the creation and maintenance of documentation for AI models and applications.
Qualifications: o Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. o Proven experience as a Generative AI Developer, with a strong portfolio of AI-driven projects. o Proficiency in programming languages such as Python, JavaScript, or similar. o Experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar. o Strong understanding of model fine-tuning and experience in adapting models for specific use cases. o Experience with full-stack development, including front-end (e.g., React, Angular, Vue.js) and back-end (e.g., Node.js, Django, Flask) technologies. o Familiarity with retrieval-augmented generation (RAG) techniques and integrating external knowledge sources. o Knowledge of multi-agent systems and their application in AI workflows. o Familiarity with cloud services (e.g., AWS, Azure, Google Cloud) and DevOps practices. o Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment. o Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
REQUIRED EDUCATION: o Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
REQUIRED EXPERIENCE: o Experience with natural language processing, computer vision, or other AI disciplines relevant to generative AI. o Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes. o Experience with database technologies such as SQL and NoSQL databases. o Understanding of CI/CD pipelines and tools.
Background Requirement: GuideWell Standard v3 Interview Comments: 2 round interviews (both MS Teams video/audio)
EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
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*Temp to Hire (Permanent Salary = $170,000/yr.)
Important Notes from Hiring Manager: o Proven experience as a Generative AI Developer, with a strong portfolio of AI-driven projects. o Proficiency in programming languages such as Python, JavaScript, or similar. o Experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar. o Strong understanding of model fine-tuning and experience in adapting models for specific use cases. o Experience with full-stack development, including front-end (e.g., React, Angular, Vue.js) and back-end (e.g., Node.js, Django, Flask) technologies. o Familiarity with retrieval-augmented generation (RAG) techniques and integrating external knowledge sources. o Knowledge of multi-agent systems and their application in AI workflows. o Experience with natural language processing, computer vision, or other AI disciplines relevant to generative AI. o Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes. o Experience with database technologies such as SQL and NoSQL databases. o Understanding of CI/CD pipelines and tools.
Background Requirement: GuideWell Standard v3 Interview Comments: 2 round interviews (both MS Teams video/audio)
Job Description: We are at the forefront of innovation, leveraging cutting-edge technology to transform industries and deliver exceptional experiences. Our team is passionate about creating AI-driven solutions that solve real-world problems. We are looking for a talented Generative AI Developer with full-stack capabilities to join our dynamic team and help us push the boundaries of what's possible.
Job Description: As a Generative AI Architect, you will play a key role in designing, developing, and deploying AI-powered applications. You will work closely with cross-functional teams to build scalable, efficient, and innovative solutions that integrate seamlessly into our technology stack. Your expertise in model fine-tuning, retrieval-augmented generation (RAG) architecture, and multi-agent systems will be crucial to our AI initiatives.
Key Responsibilities: o Design, develop, and implement generative AI models and algorithms to solve complex problems. o Fine-tune pre-trained models to enhance their performance and adapt them to specific tasks. o Develop and integrate Retrieval-Augmented Generation (RAG) architectures to improve model performance by leveraging external data sources. o Design and implement multi-agent systems to facilitate complex AI interactions and enhance automation capabilities. o Work collaboratively with data scientists, UX/UI designers, and product managers to create end-to-end AI-driven applications. o Develop and maintain robust, scalable, and efficient full-stack applications using modern technologies. o Integrate AI models into existing systems and ensure smooth deployment and operation. o Optimize AI models and full-stack applications for performance and scalability. o Stay up-to-date with the latest advancements in AI and full-stack development to continually enhance our technology stack. o Troubleshoot and resolve issues related to AI models and application performance. o Contribute to the creation and maintenance of documentation for AI models and applications.
Qualifications: o Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. o Proven experience as a Generative AI Developer, with a strong portfolio of AI-driven projects. o Proficiency in programming languages such as Python, JavaScript, or similar. o Experience with AI/ML frameworks such as TensorFlow, PyTorch, or similar. o Strong understanding of model fine-tuning and experience in adapting models for specific use cases. o Experience with full-stack development, including front-end (e.g., React, Angular, Vue.js) and back-end (e.g., Node.js, Django, Flask) technologies. o Familiarity with retrieval-augmented generation (RAG) techniques and integrating external knowledge sources. o Knowledge of multi-agent systems and their application in AI workflows. o Familiarity with cloud services (e.g., AWS, Azure, Google Cloud) and DevOps practices. o Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment. o Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
REQUIRED EDUCATION: o Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
REQUIRED EXPERIENCE: o Experience with natural language processing, computer vision, or other AI disciplines relevant to generative AI. o Knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes. o Experience with database technologies such as SQL and NoSQL databases. o Understanding of CI/CD pipelines and tools.
Background Requirement: GuideWell Standard v3 Interview Comments: 2 round interviews (both MS Teams video/audio)
EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
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