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AI Software Engineer

Las Vegas, NV
Fusion HCR is hiring! Contract to hire AI Software Engineer. Candidates must be based in Las Vegas NV and able to work a hybrid schedule.
Focus on building AI-driven solutions and integrating advanced AI technologies, particularly GPT assistants and OpenAI API. Future objectives include implementing local vector databases and AI models. Key contributions involve enhancing workplace productivity, developing AI-focused features in our existing software applications, and evolving the company's AI capabilities. 
Job Summary
Join us as an AI Software Engineer and be part of an exciting journey in shaping the future of artificial intelligence within our company. In this role, you'll start with straightforward projects and gradually tackle increasingly complex AI systems, integrating state-of-the-art AI technologies into our business operations. Ideal for a passionate, mid-level to senior software engineer, this position offers a unique blend of technical challenge and creativity. You'll not only develop innovative AI solutions but also play a key role in enhancing our workplace efficiency and effectiveness. Here, you have the opportunity to grow, learn, and make a tangible impact in the evolving field of artificial intelligence, all while being part of a team that values innovation and forward-thinking.
Key Responsibilities
  • Implement and continuously refine AI solutions, beginning with the deployment of GPT assistants using OpenAI APIs.
  • Process and interpret information from various data formats, particularly PDFs, to be utilized in AI-driven applications.
  • Lead the transition from dependency on cloud-based APIs to in-house AI solutions, including the development and maintenance of vector databases and local GPT models.
  • Guarantee the reliability and scalability of AI solutions, ensuring they meet the demands of enterprise-level environments.
  • Work collaboratively with cross-functional teams to identify and leverage opportunities for enhancing business processes through AI technologies.
  • Foster a culture of continuous learning and knowledge sharing within the organization, staying informed of the latest developments in AI technologies and best practices.
  • Prioritize and enforce robust security protocols to safeguard all AI implementations, ensuring the confidentiality and integrity of data in compliance with industry standards and regulations.
  • Collaborate with our security engineers and analysts to implement and enforce security best practices throughout the software development lifecycle.
  • Develop and maintain technical documentation, including architecture diagrams, design specifications, and system documentation.
Required Skills and Qualifications
  • 3-5+ years of experience as a software engineer required.
  • Proficiency in key programming languages such as Python, Java, or C++, and familiarity with AI-related frameworks and libraries required.
  • Strong background in AI technologies, including machine learning, natural language processing, and GPT models.
  • Proficiency in API integration and management, especially OpenAI or similar platforms.
  • Experience with data architecture and integration patterns for cloud-based systems, especially MuleSoft for cross-platform data exchange and API orchestration.
  • Clean, maintainable, efficient coding for AI integrations.
  • Awareness of AI ethics, data privacy, and security.
  • Excellent problem-solving and technical innovation skills.
  • Knowledge in AI model training and deployment tools (e.g., TensorFlow, PyTorch) preferred.
  • Experience in natural language processing tasks (text classification, sentiment analysis, etc.) preferred.
  • Experience with MongoDB, Express.js, React, and Node.js preferred.
  • Experience with Salesforce Einstein AI for building AI-driven solutions within Salesforce ecosystems is a plus.
  • Experience integrating and managing data flows with MuleSoft for seamless API-based connections between systems and platforms is highly desirable.
  • Skilled in data extraction from documents, especially PDFs, is a plus.
  • Knowledge of vector databases and local AI model hosting is a plus.
  • Hands-on experience with cloud-based AI services such as AWS SageMaker, Azure AI, or Google Cloud AI is advantageous.
Education
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.

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