Resume Score

Check how well your resume matches this job before you apply.

Sign in to check score

About the role

  • AI Engineering Manager building scalable AI-enabled systems at Anju Software. Leading technical architecture and mentoring teams to enhance AI capabilities in life sciences.

Responsibilities

  • Own product architecture, including AI/LLM-integrated components
  • Design scalable, secure, and maintainable systems
  • Lead decisions involving:
  • - LLM integration (OpenAI, Azure OpenAI, etc.)
  • - RAG architectures and vector databases
  • - AI orchestration frameworks (LangChain, Semantic Kernel, LlamaIndex)
  • Ensure system reliability, observability, and cost efficiency
  • Establish AI governance and safe usage practices
  • Apply modern AI methodologies, including:
  • - Retrieval-Augmented Generation (RAG)
  • - Prompt engineering and evaluation
  • - AI output validation and guardrails
  • - Human-in-the-loop workflows
  • - Model monitoring and performance evaluation
  • Drive experimentation, A/B testing, and telemetry-based decision making
  • Lead and mentor developers and QA engineers
  • Raise AI literacy across the team
  • Establish AI-native coding and review standards
  • Balance speed, quality, and architectural integrity
  • Own predictable, high-quality releases
  • Ensure AI features are measurable, validated, and production-ready
  • Act as technical escalation point
  • Drive cross-team alignment with Product, Data, and DevOps
  • Leverage AI-assisted development tools to improve velocity
  • Optimize AI cost-performance tradeoffs
  • Embed automation into testing and CI/CD pipelines

Requirements

  • 7+ years software engineering experience, 2+ years in technical leadership
  • Hands-on experience building and deploying AI-enabled systems
  • Strong knowledge of:
  • - LLM integration and prompt design
  • - RAG architectures and vector search
  • - AI orchestration frameworks
  • - Cloud platforms (Azure, AWS, or GCP)
  • Experience designing scalable distributed systems
  • Preferred
  • - Experience in regulated industries
  • - AI governance and compliance knowledge
  • - Model lifecycle management and monitoring tools

Job type

Full Time

Experience level

SeniorLead

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AWSAzureCloudDistributed SystemsGoogle Cloud Platform

Location requirements

RemoteCanada

Report this job

Found something wrong with the page? Please let us know by submitting a report below.