Ai Platform Engineer - Associate

Morstan

Base: not specified; bonus/equity: not specified; ...
Kubernetes/openshift
Aws, azure, and/or google cloud
Api based development, rest framework
Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses

Job Summary

  • Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses.
  • Build and enhance Python-based microservices (Flask, Fast API) by empowering the AI platform. Extend and maintain connectors for external LLM providers: OpenAI, Azure AI Foundry, and AWS Bedrock.
  • We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.

Matching Summary

Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses.

Salary

Base: Not specified; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Kubernetes/OpenShift
  • AWS, Azure, and/or Google Cloud
  • API based development, REST framework
  • Python-based microservices (Flask, Fast API)
  • Generative AI solutions
  • DevOps, CI/CD, GitOps

Nice-to-have

  • Practitioner of testing types
  • Understanding of OAuth 2.0
  • Proficiency with Open Telemetry tools
  • Microservice based architecture knowledge
  • Cloud Application Deployment patterns
  • SRE techniques understanding

Key Requirements

  • 5 years of experience in software engineering
  • Bachelor's or master's degree in computer science or related field
  • Hands-on Application Development background
  • Experience in Kubernetes workloads
  • Experience deploying applications on Azure, AWS, and/or GCP using IaC (Terraform)

Work Rights

Not specified

Tailored Resume

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