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Intermediate AI Engineer (ID#5518)

New Value Solutions
Richmond, CAN
Contract
Mid-Senior
Onsite
Discovered 1 weeks ago
software developmentAI and machine learning developmentGenerative AIAI platformsagentic AI frameworksREST APIs
Free

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software developmentAI and machine learning developmentGenerative AI
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Role Overview

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

The role focuses on modern AI platforms, large language models, agentic AI frameworks, cloud technologies, APIs, and software engineering practices.

The engineer will collaborate with senior engineers, architects, cybersecurity teams, data engineers, and business stakeholders.

Responsibilities

  • Design, develop, test, and deploy AI-powered applications and intelligent automation solutions.
  • Develop agentic AI workflows, prompts, AI agents, interaction models, and reusable AI components.
  • Build enterprise integrations using APIs, cloud services, microservices, development pipelines, and operational platforms.
  • Implement RAG, knowledge retrieval, automated testing, evaluation, validation, monitoring, and troubleshooting.
  • Participate in design and code reviews, documentation, knowledge transfer, AI governance, security, and Responsible AI practices.

Mandatory Requirements

  • At least 5 years of software development experience using C#, .NET, Python, Java, JavaScript/TypeScript, or equivalent.
  • At least 2 years of experience developing AI, machine learning, or Generative AI solutions.
  • Experience with AI platforms, agentic AI frameworks, AI assistants, workflow automation, or conversational AI.
  • Experience with REST APIs, microservices, cloud-native applications, enterprise integrations, RAG, vector databases, embeddings, or knowledge retrieval.
  • Experience with Azure, AWS, or GCP, Git-based development, CI/CD, Agile delivery, secure development, automated testing, and quality assurance.

Preferred Requirements

  • Enterprise AI production experience, multi-agent applications, AI observability, evaluation, testing, and monitoring tools.
  • Experience integrating AI with ITSM, DevOps, cybersecurity, or enterprise workflow platforms.
  • Experience in large enterprise, public sector, or regulated environments.
  • AI, cloud, or software engineering certifications and knowledge of Responsible AI, governance, privacy, and security principles.

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