RQ00735 - Software Developer - Artificial Intelligence (AI) - Senior

Maarut•Toronto, ON

About The Position

We are seeking a Senior Software Developer with expertise in Artificial Intelligence (AI) to design and implement enterprise AI solutions. This role will focus on developing intelligent provider and referral destination discovery systems, leveraging Retrieval Augmented Generation (RAG) pipelines, AI agents, and Large Language Models (LLMs). You will integrate these solutions with healthcare data sources, APIs, and cloud services, ensuring security, accuracy, and operational performance. The position requires a strong understanding of healthcare interoperability standards, cloud-native development, and AI evaluation frameworks.

Requirements

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 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.

Nice To Haves

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.

Responsibilities

Design and develop AI agents supporting intelligent provider and referral destination discovery.
Develop Retrieval Augmented Generation (RAG) pipelines utilizing PHSD healthcare data.
Design and implement MCP servers exposing PHSD functionality to AI clients.
Develop semantic search capabilities supporting provider, practitioner, organization, healthcare service, and specialty discovery.
Integrate AI agents with Smile CDR, AWS HealthLake, PHSD APIs, Provider Registry, and Master Data Management services.
Develop intelligent referral destination recommendations based on referral reason, specialty, geography, language, service availability, and organizational relationships.
Develop AI services that validate referral completeness and identify missing referral information prior to submission.
Implement explainable AI responses referencing authoritative PHSD records and supporting evidence.
Develop prompt templates, orchestration workflows, tool selection strategies, and AI evaluation frameworks.
Optimize retrieval quality, ranking, semantic search relevance, latency, and operational performance.
Implement monitoring, evaluation, telemetry, audit logging, and continuous improvement processes for AI services.
Produce technical documentation, AI governance documentation, operational procedures, and knowledge transfer materials.