AI Platform Engineer - DevOps

Job summary

Develop and evolve DevOps services and CI/CD pipelines for Capital Markets application teams, while coaching teams on tools and best practices. Build and operate enterprise AI platforms and reusable AI services, including LLMOps/MLOps frameworks, RAG architectures, vector search, inference APIs, and agent orchestration.

Job details

Hi, Hope you are doing well today. If you are interested in this role, please let me know because it’s very urgent position. Please share copy updated resume. AI Platform Engineer - DevOps Location :: Halifax, NS - Hybrid (4 Days WFO) Contract Role Descriptions: AI Platform Engineer DevOps - Halifax Job Description What is the Opportunity?Are you looking to make an impact across many teams? Excited at the thought of transforming the flows that help these teams deliver their products to production? If so| youve come to the right place.We are looking for a Developer obsessed with efficiency and automation to be part of an autonomous team to deliver services for application teams across Capital Markets. An open minded individual who is not afraid to fail fast and pivot when needed. An individual who seeks out gaps and challenges to drive efficiency not only for other application teams but also for their own team. Knowledge sharing is key in this respect. As a Developer| you will participate in transforming DevOps for Capital Markets.What will you do? Develop value-add services which integrate with the existing DevOps stack Develop CICD pipelines using GitHub Actions| TypeScript| Python| Groovy and Jenkins Coach application teams on how to leverage DevOps offerings Champion developer-experience and best practices in conjunction with DevOps to ensure no developer is left behind Participate in new tool adoption| POC process and provide recommendations Evolve DevOps services beyond current state for application teams Must-have: An engineer mindset| SDLC experience with production class delivery| strong analytical mindset| communication skills| and sense of ownership / drive 2+ years of development experience in one of the following languages: Java| Python| Javascript/TypeScript| C#| C/C++| Python Experience with application and system design patterns Experience with Docker or Kubernetes Experience with Agile methodologies| ie SCRUM Design| build| and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs) and AI-powered applications. Develop scalable LLMOps and MLOps frameworks for model deployment| monitoring| versioning| evaluation| and governance. Build reusable AI services including: Prompt Management Frameworks Retrieval Augmented Generation (RAG) architectures Embedding and Vector Search Services AI Gateway and Inference APIs Agentic AI Orchestration FrameworksNice-to-have: Experience with Elastic Search and Kibana Experience using DevOps CICD tools such as GitHub| GitHub Actions| Jenkins| Urban Code Deploy Experience with a public cloud technology| i.e. Azure| AWS Experience building or supporting distributed applications Thanks & Best Regards Mohit Tewatiya | Technical Recruiter | Tekgence Inc. Contact: +1 14694980031, Ext – 240 Mail : mohit.tewatiya@tekgence.com linkedin.com/in/mohit-kumar-437022372

What you’ll do

Develop and evolve DevOps services and CI/CD pipelines for Capital Markets application teams, while coaching teams on tools and best practices. Build and operate enterprise AI platforms and reusable AI services, including LLMOps/MLOps frameworks, RAG architectures, vector search, inference APIs, and agent orchestration.

Requirements

Requires at least two years of development experience in a listed programming language, production-grade SDLC experience, an analytical and ownership-oriented mindset, and familiarity with application and system design patterns. Experience with Docker or Kubernetes and Agile methods is required; cloud platforms, CI/CD tools, and distributed applications are advantageous.

Listed skills

• Kubernetes · Preferred
• Docker · Preferred
• TypeScript · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• DevOps
• CI/CD Pipelines
• GitHub Actions
• TypeScript
• Python
• Groovy
• Jenkins
• Docker
• Kubernetes
• Enterprise AI Platforms
• LLMOps
• MLOps
• Large Language Models
• Retrieval-Augmented Generation
• Agile Methodologies
• Application and System Design

Job areas

• Technology
• Software
• Engineering
• Finance & Accounting

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