Senior AI Engineer

Job Description Are you excited by the potential of AI to transform healthcare? At iCareManager, we’re seeking a Senior AI Software Engineer who can harness LLMs and modern AI tooling to deliver intelligent solutions within our EHR and care management ecosystem. From auto-generating care plans and documentation to upgrading workflows using Devin-style AI agents, this is your chance to build smart tools that directly improve patient outcomes and provider efficiency. This role is ideal for an experienced engineer who thrives in a fast-paced SaaS environment and wants to lead real-world innovation in the healthcare space. What Makes This Role Compelling Lead high-impact AI projects that directly serve long-term care, IDD, and assisted living providers. Design and deploy AI-powered coding agents, assistants, and automation tools to improve internal development velocity and customer workflows. Collaborate across Engineering, Product, and Customer Success to solve complex operational and clinical challenges. Implement agentic AI, LLM orchestration, and prompt engineering to improve data entry, compliance, and intelligent recommendations. Help iCareManager accelerate the future of healthcare technology with faster iteration cycles, smarter tools, and better outcomes for underserved populations. Key Responsibilities Develop and implement an enterprise-wide AI strategy aligned with company goals, especially around documentation automation, predictive analytics, intelligent agents, and system optimization. Identify and prioritize use cases for AI integration across Engineering, Product, and Implementation (e.g., auto-plan generation, code copilots, chatbot assistants). Lead the design and deployment of AI solutions using LLMs, RAG pipelines, agentic frameworks (e.g., LangChain, Devin-style agents), and AI coding assistants. Oversee the evaluation, selection, and implementation of AI tools and platforms (e.g., OpenAI, Claude, Bedrock, SageMaker, LlamaIndex, etc.). Collaborate with software engineers to rapidly prototype, test, and deploy AI features inside iCM’s modular EHR and care coordination platform. Develop metrics and dashboards to track AI model performance, business impact, and usage. Foster a culture of innovation, safe experimentation, and responsible AI adoption. Build external partnerships with AI vendors, research institutions, and innovation hubs. Stay ahead of AI trends and healthcare industry developments to keep our solutions competitive. Requirements Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 4+ years of experience in applied AI, ML, or NLP with at least 2 years leading AI-focused initiatives or teams. Hands-on experience with modern AI technologies, including LLMs (e.g., GPT-4, Claude), prompt engineering, and agentic frameworks (LangChain, CrewAI, etc.). Proficient in Python and cloud-based AI platforms such as AWS, Azure, or GCP. Strong track record of turning AI/ML concepts into deployed, usable features in SaaS or production systems. Experience integrating AI with healthcare systems, CRM, ERP, or EHR software preferred. Excellent communication and leadership skills with the ability to influence across departments. Preferred Qualifications Experience building and deploying RAG pipelines or agent-based AI solutions. Familiarity with DevOps, MLOps, or AI observability frameworks. Background in healthcare, life sciences, or digital health. Understanding of HIPAA, data security, and ethical AI practices in healthcare. Certifications in AI/ML (e.g., Certified AI Engineer, AWS ML Specialty) are a plus. Benefits A dynamic and collaborative work environment. Opportunities for professional growth and skill development. Competitive salary and benefits package. The chance to play a key role in revolutionising the healthcare technology industry.