28 Sep
|
CanadianNanny.ca
|
Winnipeg
28 Sep
CanadianNanny.ca
Winnipeg
We are seeking an experienced
AI/ML Engineer
to build and deploy secure, scalable AI solutions for mission‑critical initiatives while contributing to proprietary AI infrastructure. You will work with
LLMs, RAG, prompt engineering, multi‑agent systems, and cloud AI platforms
to develop production‑grade machine learning applications.
Key Responsibilities
Design, implement, and optimize AI/ML solutions using
LLMs, RAG, and prompt engineering .
Develop and orchestrate multi‑agent systems using
LangGraph and LangChain .
Deploy AI solutions across secure cloud environments such as
AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock .
Build robust
ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference.
Develop and maintain
REST APIs and SDK integrations .
Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
Follow contemporary
secure coding, DevOps, and CI/CD
practices.
Document technical decisions and communicate complex concepts effectively to technical and non‑technical stakeholders.
Required Skills & Qualifications
Strong
Python
proficiency for AI/ML development, including REST APIs and SDK integrations.
Hands‑on production experience with
LLMs, RAG, and prompt engineering .
Experience with
multi‑agent orchestration , tool use,
LangGraph, and LangChain.
Strong knowledge of cloud AI services, including
AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock .
Experience building
data pipelines, ETL processes, metadata catalogs, and ontologies .
Strong understanding of
secure coding and CI/CD practices .
Excellent written and verbal communication skills.
Preferred Qualifications
Experience with enterprise AI platforms such as
Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise .
Knowledge of
MCP, metadata catalog platforms, and advanced API development .
Experience working in
government, regulated, or security‑sensitive cloud environments .
Familiarity with relevant compliance and security standards.
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