AI Developer (Healthcare)
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Our client requires two (2) AI Developers to join the development of intelligent AI agents that leverage Retrieval Augmented Generation (RAG), Model Context Protocol (MCP), and FHIR-based healthcare data to assist healthcare providers in identifying appropriate referral destinations, validating referral information, recommending alternative providers or services, and improving the completeness and quality of referral submissions.
The solution will utilize PHSD provider, practitioner, organization, healthcare service, specialty, location, and service metadata together with clinical referral context to provide intelligent recommendations while maintaining traceability to authoritative source data. AI agents will consume PHSD FHIR APIs, Smile CDR, AWS HealthLake, the organizations’ Master Data Management, and other provincial digital health assets to provide grounded responses rather than generative opinions.
The project includes development of reusable AI services, MCP servers, semantic search capabilities, vector-based retrieval, prompt orchestration, evaluation frameworks, and secure integration with SMART on FHIR applications and provincial healthcare systems. The implementation will emphasize explainability, auditability, privacy, security, and clinical confidence while supporting future AI-enabled healthcare workflows across the organization.
Work is hybrid and resource is required onsite as needed at client location in Toronto, ON.
Toronto, Ontario (Hybrid)
Mandatory Requirements
Mandatory Requirements Include:
- Public Sector experience is a must have
- Senior software development experience designing and implementing enterprise AI solutions.
- Experience developing Retrieval Augmented Generation (RAG) solutions using vector databases and semantic search.
- Experience developing AI agents using Model Context Protocol (MCP).
- Experience integrating Large Language Models with enterprise applications.
- Experience implementing healthcare AI solutions using FHIR R4/R4B, SMART on FHIR, and REST APIs.
- Experience with Health Services Directories
- Experience with AWS AI services including Amazon Bedrock and related AI services.
- Experience designing prompt orchestration, tool calling, and agent workflows.
- Experience integrating AI solutions with healthcare provider directories and structured healthcare data.
- Experience evaluating AI accuracy, hallucination reduction, grounding, and response quality.
- Experience with AWS Bedrock
- Enterprise AI development experience, including Retrieval Augmented Generation (RAG), Large Language Models (LLMs), semantic search, prompt engineering, AI agent development, Model Context Protocol (MCP), tool orchestration, and AI evaluation frameworks.
- Healthcare interoperability experience, including FHIR R4/R4B, SMART on FHIR, Smile CDR, AWS HealthLake, REST APIs, Provider Registry, Master Data Management, healthcare terminology, and healthcare data integration.
- Cloud application development experience, including Java/Spring Boot and/or Python, AWS cloud services, Amazon Bedrock, OpenSearch vector search, secure API development, CI/CD, monitoring, and scalable cloud-native architectures.
- Experience working with digital health assets Hospital Report Manager (HRM), Enterprise Master Data Management, Consent Management Service, provincial identity services, and integration with Epic, Oracle Health (Cerner), MEDITECH, or other healthcare information systems.
Required Skills:
- Enterprise AI application development using modern LLM frameworks and agent architectures.
- Retrieval Augmented Generation (RAG) architecture, semantic retrieval, vector embeddings, and knowledge grounding.
- Model Context Protocol (MCP) server development, tool integration, and agent orchestration.
- Prompt engineering, tool calling, structured outputs, evaluation frameworks, and AI workflow design.
- Integration of AI solutions with FHIR R4/R4B, SMART on FHIR, REST APIs, and healthcare interoperability standards.
- Java Spring Boot and/or Python backend development supporting AI services.
- Amazon Bedrock, OpenSearch vector search, embeddings, inference APIs, and enterprise AI deployment.
- Healthcare provider directory, referral workflows, practitioner, organization, healthcare service, and location data modelling.
- Secure API development using OAuth2, OpenID Connect, JWT, and enterprise authentication patterns.
- Cloud-native AWS development, monitoring, logging, CI/CD, and operational support.
- Strong analytical, problem solving, communication, and technical documentation skills.
Desirable Requirements
- Experience developing AI solutions for healthcare provider directory, referral, scheduling, or care navigation systems.
- Experience implementing healthcare knowledge graphs or semantic healthcare search.
- Experience with Amazon Bedrock Agents or other enterprise AI orchestration platforms.
- Experience implementing MCP-based enterprise integrations.
- Experience developing AI evaluation frameworks including groundedness, factuality, retrieval accuracy, and hallucination detection.
- Experience implementing FHIR terminology services, SNOMED CT, LOINC, and healthcare ontologies.
- Experience with clinician-facing AI assistants and decision support tools.
- Experience with Responsible AI, privacy-preserving AI, explainability, and AI governance.
- Experience working with Agile delivery teams building enterprise healthcare AI platforms.
Job Posting ID: 56981
Location: Toronto, Ontario (Hybrid)
Estimated Starting Date: Aug 31, 2026
Estimated End Date: till Apr 23, 2027 + pos. extension
Posting Closing Date: August 6, 2026
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