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Description
About FriskaAi: FriskaAi is an intelligent health management platform, revolutionizing preventive care, chronic disease management, and population health through AI-driven insights. We are part of HFWL Company, committed to transforming healthcare through innovation, compassion, and cutting-edge technology. As we continue to expand, we are building a team of forward-thinking engineers passionate about the future of autonomous, agent-driven AI. If you're excited about designing systems that think, reason, and act independently in complex healthcare environments — we want you . Role Overview: We are looking for an experienced Agentic AI Engineer to design, build, and deploy AI agents that operate with autonomy, solve complex healthcare-related tasks, and collaborate across systems and datasets with minimal human intervention. You will work closely with our data science, product, and engineering teams to integrate agentic behavior into FriskaAi’s platform and services. Key Responsibilities: Design and build intelligent AI agents capable of independent decision-making, task planning, and adaptive learning in healthcare scenarios. Develop frameworks for multi-agent collaboration and goal-directed workflows within FriskaAi’s systems. Implement memory, reasoning, and planning capabilities into agentic modules. Integrate agents with FriskaAi’s data pipelines, patient management systems, and healthcare APIs. Research and apply advanced techniques such as tool-use , self-reflection , long-term memory , task decomposition , and recursive improvement . Optimize for explainability , ethics , and compliance in autonomous agent behavior. Collaborate with cross-functional teams to prototype, iterate, and productionize agentic solutions. Stay current with the latest advances in LLMs, autonomous systems, and healthcare AI regulations. Requirements: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. PhD preferred. 2+ years working on agentic or autonomous AI systems . Strong expertise with LLMs (e.g., GPT, Claude, Mistral) and frameworks like LangChain, AutoGen, CrewAI, or similar . Deep understanding of planning algorithms , decision-making models , and agentic architectures . Hands-on experience with Python , TensorFlow , PyTorch , or other relevant AI/ML libraries. Familiarity with healthcare data standards (e.g., HL7, FHIR, HIPAA compliance) is a strong plus. Excellent problem-solving skills and the ability to work independently in a fast-paced startup environment. Strong written and verbal communication skills. Nice to Have: Experience developing multi-agent systems (MAS) . Knowledge of health informatics , clinical decision support systems (CDSS) , or population health AI . Contributions to open-source agentic AI projects. Familiarity with neurosymbolic AI or cognitive architectures . Apply now and join us in shaping the future of personalized health! Show more Show less
