Ai platform engineer
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Role 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 Dev Ops for Capital Markets.
What will you do? Develop value-add services which integrate with the existing Dev Ops stack
Develop CICD pipelines using Git Hub Actions, Type Script, Python, Groovy and Jenkins
Coach application teams on how to leverage Dev Ops offerings
Champion developer-experience and best practices in conjunction with Dev Ops to ensure no developer is left behind
Participate in new tool adoption, POC process and provide recommendations
Evolve Dev Ops services beyond current state for application teams
Design, build, and operate enterprise AI/Gen AI 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 Frameworks
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/Type Script, C#, C/C++
Experience with application and system design patterns
Experience with Docker or Kubernetes
Experience with Agile methodologies, ie SCRUM
Nice-to-have Experience with Elastic Search and Kibana
Experience using Dev Ops CICD tools such as Git Hub, Git Hub Actions, Jenkins, Urban Code Deploy
Experience with a public cloud technology, i.e. Azure, AWS
Experience building or supporting distributed applications
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