We are seeking an experienced Senior Software Developer - Artificial Intelligence to lead the technical design, development, and integration of enterprise-grade AI applications. In this role, you will build Retrieval Augmented Generation (RAG) pipelines, develop intelligent AI agents using Model Context Protocol (MCP), and integrate Large Language Models (LLMs) with core enterprise applications. Working across a modern cloud-native AWS stack, Java Spring Boot, and Python backend services, you will construct semantic search capabilities, vector-based retrieval systems, and secure data orchestration workflows while ensuring high accuracy, explainability, and grounding.
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Location: Toronto, ON (Hybrid – onsite as needed)
Duration: 8-month contract
Public Sector Experience: Must Have.
Advantages
Advanced AI Stack: Hands-on development using Amazon Bedrock, MCP, OpenSearch vector search, and modern LLM frameworks.
Next-Gen Architecture Impact: Lead high-visibility RAG pipeline creation, semantic search indexing, and agent-based tool orchestration.
Full-Stack AI Integration: Bridge Java Spring Boot/Python backend services with cutting-edge AI models and enterprise data.
Flexible Hybrid Setup: Enjoy schedule flexibility with a hybrid work model based in Toronto.
Responsibilities
AI Agent & RAG Pipeline Engineering: Design and implement intelligent AI agents and RAG pipelines, constructing vector embeddings, indexing workflows, semantic search capabilities, and retrieval optimizations using Amazon Bedrock and OpenSearch.
Model Context Protocol (MCP) Development: Architect and deploy MCP servers to expose backend system functionalities and toolsets safely to AI clients and LLM agent frameworks.
Backend Microservices Development: Build and maintain scalable backend services and REST APIs supporting AI workloads using Java Spring Boot and Python.
Prompt Orchestration & Tool Calling: Develop prompt templates, agent orchestration workflows, tool selection strategies, and structured output patterns.
Data Integration & Interoperability: Integrate AI services with structured enterprise data repositories, health services directories, FHIR APIs (R4/R4B), SMART on FHIR launch contexts, and Master Data Management services.
AI Quality, Grounding & Evaluation: Implement rigorous evaluation frameworks to assess AI accuracy, eliminate hallucinations, validate response grounding, and ensure explainability against authoritative source records.
Security & Access Control: Enforce secure API access, role-based authorization, and enterprise authentication standards utilizing OAuth2, OpenID Connect (OIDC), and JWTs.
Governance, Monitoring & Telemetry: Build operational dashboards, logging frameworks, telemetry metrics, and AI governance documentation to support continuous system optimization and post-deployment sustainment.
Qualifications
Enterprise AI & RAG Seniority: Extensive senior software development experience designing, implementing, and deploying enterprise AI applications and RAG architectures using vector databases and semantic search (Strictly Required).
Model Context Protocol (MCP) & Agent Orchestration: Demonstrated experience developing AI agents and MCP servers, including prompt engineering, tool calling, and agent workflow orchestration (Strictly Required).
AWS Cloud AI Suite & Vector Search: Hands-on experience with AWS Bedrock and implementing vector search using OpenSearch (Strictly Required).
Java Spring Boot & Python Backend Development: Proven experience engineering Java Spring Boot and Python backend microservices supporting AI workloads (Strictly Required).
Healthcare Interoperability & Directory Experience: Direct experience implementing healthcare AI solutions using FHIR R4/R4B, SMART on FHIR, REST APIs, and health services/provider directories (Strictly Required).
AI Grounding & Evaluation: Practical experience developing evaluation frameworks for AI accuracy, hallucination reduction, response grounding, and citation validation (Strictly Required).
Security & Authorization Protocols: Hands-on experience implementing secure AI applications using OAuth2, OIDC, JWTs, and role-based access controls (Strictly Required).
Public Sector Expertise: Prior experience delivering software solutions within public sector environments (Strictly Required).
Summary
If you're interested in the "Senior Software Developer - Artificial Intelligence" role based in Toronto, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
We are seeking an experienced Senior Software Developer - Artificial Intelligence to lead the technical design, development, and integration of enterprise-grade AI applications. In this role, you will build Retrieval Augmented Generation (RAG) pipelines, develop intelligent AI agents using Model Context Protocol (MCP), and integrate Large Language Models (LLMs) with core enterprise applications. Working across a modern cloud-native AWS stack, Java Spring Boot, and Python backend services, you will construct semantic search capabilities, vector-based retrieval systems, and secure data orchestration workflows while ensuring high accuracy, explainability, and grounding.
Location: Toronto, ON (Hybrid – onsite as needed)
Duration: 8-month contract
Public Sector Experience: Must Have.
Advantages
Advanced AI Stack: Hands-on development using Amazon Bedrock, MCP, OpenSearch vector search, and modern LLM frameworks.
Next-Gen Architecture Impact: Lead high-visibility RAG pipeline creation, semantic search indexing, and agent-based tool orchestration.
Full-Stack AI Integration: Bridge Java Spring Boot/Python backend services with cutting-edge AI models and enterprise data.
...
Flexible Hybrid Setup: Enjoy schedule flexibility with a hybrid work model based in Toronto.
Responsibilities
AI Agent & RAG Pipeline Engineering: Design and implement intelligent AI agents and RAG pipelines, constructing vector embeddings, indexing workflows, semantic search capabilities, and retrieval optimizations using Amazon Bedrock and OpenSearch.
Model Context Protocol (MCP) Development: Architect and deploy MCP servers to expose backend system functionalities and toolsets safely to AI clients and LLM agent frameworks.
Backend Microservices Development: Build and maintain scalable backend services and REST APIs supporting AI workloads using Java Spring Boot and Python.
Prompt Orchestration & Tool Calling: Develop prompt templates, agent orchestration workflows, tool selection strategies, and structured output patterns.
Data Integration & Interoperability: Integrate AI services with structured enterprise data repositories, health services directories, FHIR APIs (R4/R4B), SMART on FHIR launch contexts, and Master Data Management services.
AI Quality, Grounding & Evaluation: Implement rigorous evaluation frameworks to assess AI accuracy, eliminate hallucinations, validate response grounding, and ensure explainability against authoritative source records.
Security & Access Control: Enforce secure API access, role-based authorization, and enterprise authentication standards utilizing OAuth2, OpenID Connect (OIDC), and JWTs.
Governance, Monitoring & Telemetry: Build operational dashboards, logging frameworks, telemetry metrics, and AI governance documentation to support continuous system optimization and post-deployment sustainment.
Qualifications
Enterprise AI & RAG Seniority: Extensive senior software development experience designing, implementing, and deploying enterprise AI applications and RAG architectures using vector databases and semantic search (Strictly Required).
Model Context Protocol (MCP) & Agent Orchestration: Demonstrated experience developing AI agents and MCP servers, including prompt engineering, tool calling, and agent workflow orchestration (Strictly Required).
AWS Cloud AI Suite & Vector Search: Hands-on experience with AWS Bedrock and implementing vector search using OpenSearch (Strictly Required).
Java Spring Boot & Python Backend Development: Proven experience engineering Java Spring Boot and Python backend microservices supporting AI workloads (Strictly Required).
Healthcare Interoperability & Directory Experience: Direct experience implementing healthcare AI solutions using FHIR R4/R4B, SMART on FHIR, REST APIs, and health services/provider directories (Strictly Required).
AI Grounding & Evaluation: Practical experience developing evaluation frameworks for AI accuracy, hallucination reduction, response grounding, and citation validation (Strictly Required).
Security & Authorization Protocols: Hands-on experience implementing secure AI applications using OAuth2, OIDC, JWTs, and role-based access controls (Strictly Required).
Public Sector Expertise: Prior experience delivering software solutions within public sector environments (Strictly Required).
Summary
If you're interested in the "Senior Software Developer - Artificial Intelligence" role based in Toronto, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
This posting is for existing and upcoming vacancies.
show more
