RQ00735 Software Developer Artificial Intelligence (AI) Senior

Maarut

Job Location:

Toronto - Canada

Monthly Salary: CAD 101 - 101

Experience Required: 10years

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Must Haves:

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 developing Java Spring Boot and Python backend services supporting AI workloads.
Experience with Health Services Directories
Experience with AWS AI services including Amazon Bedrock and related AI services.
Experience implementing vector search using OpenSearch
Experience designing prompt orchestration tool calling and agent workflows.
Experience implementing secure AI applications using OAuth2/OIDC and role-based authorization.
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

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.

Desired Skills:

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.

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.

Evaluation Criteria:

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. 25 Points
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. 25 Points
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. 25 Points
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. 25 Points

Requirements

Deliverables:

AI architecture technical design documentation and implementation plans supporting PHSD Referral Intelligence.
AI agents capable of assisting users in identifying appropriate referral destinations using PHSD provider directory information.
Retrieval Augmented Generation (RAG) pipelines utilizing PHSD Smile CDR AWS HealthLake and other approved healthcare data sources.
Model Context Protocol (MCP) servers exposing PHSD capabilities for AI-assisted applications.
Semantic search implementation supporting provider practitioner organization healthcare service specialty and location discovery.
Vector embedding generation indexing retrieval optimization and relevance tuning.
AI services capable of validating referral destinations identifying incomplete referral information and recommending appropriate providers or healthcare services.
Integration with PHSD FHIR APIs Smile CDR AWS HealthLake Provider Registry Master Data Management services and other provincial digital health assets.
Prompt libraries orchestration workflows tool definitions and structured AI interaction patterns.
AI evaluation framework including groundedness retrieval quality factual accuracy hallucination detection citation validation and response quality metrics.
Secure authentication and authorization integration supporting SMART on FHIR OAuth2/OIDC and role-based access controls.
Operational dashboards monitoring telemetry audit logging and performance reporting for AI services.
Unit testing integration testing AI evaluation testing deployment automation and CI/CD pipeline support.
Technical documentation operational procedures AI governance documentation knowledge transfer materials and production implementation support.

Must Haves:

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

Must Haves: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 integrati...

Must Haves:

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 developing Java Spring Boot and Python backend services supporting AI workloads.
Experience with Health Services Directories
Experience with AWS AI services including Amazon Bedrock and related AI services.
Experience implementing vector search using OpenSearch
Experience designing prompt orchestration tool calling and agent workflows.
Experience implementing secure AI applications using OAuth2/OIDC and role-based authorization.
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

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.

Desired Skills:

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.

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.

Evaluation Criteria:

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. 25 Points
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. 25 Points
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. 25 Points
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. 25 Points

Requirements

Deliverables:

AI architecture technical design documentation and implementation plans supporting PHSD Referral Intelligence.
AI agents capable of assisting users in identifying appropriate referral destinations using PHSD provider directory information.
Retrieval Augmented Generation (RAG) pipelines utilizing PHSD Smile CDR AWS HealthLake and other approved healthcare data sources.
Model Context Protocol (MCP) servers exposing PHSD capabilities for AI-assisted applications.
Semantic search implementation supporting provider practitioner organization healthcare service specialty and location discovery.
Vector embedding generation indexing retrieval optimization and relevance tuning.
AI services capable of validating referral destinations identifying incomplete referral information and recommending appropriate providers or healthcare services.
Integration with PHSD FHIR APIs Smile CDR AWS HealthLake Provider Registry Master Data Management services and other provincial digital health assets.
Prompt libraries orchestration workflows tool definitions and structured AI interaction patterns.
AI evaluation framework including groundedness retrieval quality factual accuracy hallucination detection citation validation and response quality metrics.
Secure authentication and authorization integration supporting SMART on FHIR OAuth2/OIDC and role-based access controls.
Operational dashboards monitoring telemetry audit logging and performance reporting for AI services.
Unit testing integration testing AI evaluation testing deployment automation and CI/CD pipeline support.
Technical documentation operational procedures AI governance documentation knowledge transfer materials and production implementation support.

Must Haves:

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