Intermediate AI Engineer (ID#5518)

New Value Solutions; Richmond; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Restaurant d'entreprise

Indemnités de stage/alternance

Job summary

New Value Solutions is seeking an Intermediate AI Engineer to design, develop, test, deploy, and support enterprise AI applications and intelligent automation solutions. You will work hands-on with LLMs, agentic AI frameworks, cloud services, APIs, and software engineering best practices.

You will collaborate with senior engineers, architects, cybersecurity, data engineers, and business stakeholders to deliver secure, scalable AI solutions across the enterprise.

Qualifications

• Minimum 2 years of experience developing AI, ML, or Generative AI solutions.
• Experience with AI platforms such as Azure OpenAI, OpenAI, Anthropic Claude, Google Gemini, Amazon Bedrock, or equivalent.
• Experience developing agentic AI solutions, AI assistants, workflow automation, or conversational AI applications.
• Experience developing and integrating REST APIs, microservices, cloud-native applications, and enterprise integrations.
• Experience implementing Retrieval-Augmented Generation (RAG), vector databases, embeddings, or knowledge retrieval solutions.

Responsibilities

• Design, develop, test, and deploy AI-powered applications and intelligent automation solutions.
• Develop AI workflows using agentic AI frameworks and orchestration platforms.
• Build integrations with enterprise systems, APIs, cloud services, development pipelines, and operational platforms.
• Design and implement Retrieval-Augmented Generation (RAG) solutions and enterprise knowledge retrieval capabilities.
• Develop prompts, AI agents, workflows, interaction models, and reusable AI components.
• Build software services, APIs, microservices, and application components aligned with solution architecture and technical designs.
• Implement automated testing, quality assurance, evaluation, and validation processes for AI-enabled solutions.
• Participate in technical design discussions, code reviews, architecture reviews, and engineering reviews.
• Support application deployment, monitoring, troubleshooting, maintenance, and ongoing enhancements.
• Develop technical documentation, implementation notes, operational documentation, and knowledge transfer materials.
• Contribute to AI governance, application security, Responsible AI, and operational best practices.
• Collaborate with cross-functional technical and business teams throughout the solution delivery lifecycle.

Skills

AI development

LLMs

REST APIs

Cloud platforms

Agentic AI

CI/CD

Agile

Tools

Azure OpenAI

OpenAI

LangChain

Semantic Kernel

LangGraph

AutoGen

CrewAI

Job description

New Value Solutions, a national IT consulting company, is seeking an Intermediate AI Engineer to design, develop, test, deploy, and support enterprise AI applications, intelligent automation solutions, and AI-enabled services.

The AI Engineer will focus on hands-on development using modern AI platforms, large language models (LLMs), agentic AI frameworks, cloud technologies, APIs, and software engineering best practices. The successful candidate will work closely with senior engineers, architects, cybersecurity teams, data engineers, and business stakeholders to deliver secure, scalable, and maintainable AI solutions.

Responsibilities

• Design, develop, test, and deploy AI-powered applications and intelligent automation solutions.
• Develop AI workflows using agentic AI frameworks and orchestration platforms.
• Build integrations with enterprise systems, APIs, cloud services, development pipelines, and operational platforms.
• Design and implement Retrieval-Augmented Generation (RAG) solutions and enterprise knowledge retrieval capabilities.
• Develop prompts, AI agents, workflows, interaction models, and reusable AI components.
• Build software services, APIs, microservices, and application components aligned with solution architecture and technical designs.
• Implement automated testing, quality assurance, evaluation, and validation processes for AI-enabled solutions.
• Participate in technical design discussions, code reviews, architecture reviews, and engineering reviews.
• Support application deployment, monitoring, troubleshooting, maintenance, and ongoing enhancements.
• Develop technical documentation, implementation notes, operational documentation, and knowledge transfer materials.
• Contribute to AI governance, application security, Responsible AI, and operational best practices.
• Collaborate with cross-functional technical and business teams throughout the solution delivery lifecycle.

Mandatory Requirements

• Minimum 2 years of experience developing AI, Machine Learning, or Generative AI solutions.
• Demonstrated experience with AI platforms such as Azure OpenAI, OpenAI, Anthropic Claude, Google Gemini, Amazon Bedrock, or equivalent.
• Experience with AI development and orchestration frameworks such as Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, or similar.
• Experience developing agentic AI solutions, AI assistants, workflow automation, or conversational AI applications.
• Experience developing and integrating REST APIs, microservices, cloud-native applications, and enterprise integrations.
• Experience implementing Retrieval-Augmented Generation (RAG), vector databases, embeddings, or knowledge retrieval solutions.
• Experience with Azure, AWS, or GCP, Git-based development, CI/CD pipelines, and Agile delivery methodologies.
• Strong understanding of software engineering principles, application security, secure development practices, automated testing, and quality assurance.

Preferred Requirements

• Experience developing and supporting enterprise AI solutions in production environments.
• Experience implementing agentic AI and multi-agent applications.
• Experience with AI observability, evaluation, testing, and monitoring tools.
• Experience integrating AI solutions with ITSM, DevOps, cybersecurity, or enterprise workflow platforms.
• Experience working within large enterprise, public sector, or regulated environments.
• AI, cloud, or software engineering certifications.
• Knowledge of Responsible AI, AI governance, privacy, and security principles.
• Experience working within Agile and cross-functional delivery teams.