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MARS Solutions Group

Senior AI Software Engineer

Department
Engineering
Job Type / Location
remote
Experience Required
5+ years
Posted On

About the Role

MARS Solutions Group is seeking a Senior AI Software Engineer to join a leading client in the Senior Living technology & procurement industry. This is an opportunity to contribute to the future of healthcare technology by developing industry-leading products, solutions, and platforms aimed at improving the lives of millions of seniors and their caregivers. The role offers a traditional work week and includes a competitive salary with profit-sharing and additional bonuses.

As a Senior Software Engineer, you will be at the forefront of developing intelligent, adaptive, and scalable applications. This involves leveraging AI-powered development tools, machine learning models, and automation frameworks. Beyond coding, you will play a crucial role in shaping technical direction, mentoring engineers, and championing AI-first software strategies. You will work within a cross-functional team dedicated to delivering high-quality, scalable web-based products, mobile applications, or server-based systems. This senior position requires you to take ownership of complex AI-enhanced solutions, influence architectural decisions, and advocate for AI-driven development methodologies. Your leadership will also involve guiding the team to understand business context, financial trade-offs, and the strategic impact of AI-powered solutions.

Responsibilities

  • Lead and mentor engineers in AI-first development methodologies and best practices.
  • Architect and scale AI-enhanced systems, ensuring security, scalability, and high performance.
  • Integrate AI-driven capabilities such as chatbot assistants, image-based diagnostics, and automated content creation into products.
  • Drive adoption of AI-powered engineering tools (e.g., LLM-augmented IDEs, automation frameworks) to enhance development efficiency.
  • Implement observability and monitoring systems to track AI application performance and ensure proactive issue resolution.
  • Design and optimize AI-driven APIs and microservices for seamless interaction with models, applications, and databases.
  • Stay engaged with AI and engineering communities, bringing cutting-edge practices and insights back to the team.
  • Mentor engineers on technical execution, business impact, and AI-first strategic thinking.
  • Balance execution speed with innovation, rapidly testing and iterating AI-driven features.
  • Work in an agile environment, ensuring high-quality, scalable software solutions.

Requirements

  • 5+ years of software development experience, including 2+ years working on AI-powered applications or AI-integrated solutions.
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
  • Hands-on experience developing and deploying AI-driven applications (provide examples using models like Hugging Face or APIs like OpenAI, Anthropic).
  • Proficiency in Microsoft environments (Visual Studio, VS Code) and cloud services (AWS, Azure) for scalable AI applications.
  • Strong understanding of AI model cost optimization, infrastructure scaling, and performance tuning.
  • Experience integrating LLMs, agentic workflows, and autonomous AI systems into production environments.
  • Proven ability to mentor engineers and lead AI-first engineering transformations.
  • Technical expertise in AI integration across natural language processing, computer vision, and generative models.
  • Ability to mentor and lead engineers in AI-first development methodologies, fostering a culture of innovation and technical excellence.

Additional Skills of Interest

  • Contributions to open-source AI projects or AI research.
  • Experience with agentic AI frameworks (LangChain, AutoGPT).
  • Thought leadership through conferences, research, or industry engagement in AI-first development.
  • Expertise in AI-powered UI/UX development and human-computer interaction.
  • Strong proficiency in containerization (Docker, Kubernetes) and cloud-native AI deployments.
  • Diligence in unit testing, integration testing, and AI-driven problem-solving.

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