AI Platform Engineer Job at eranova, Charlotte, NC

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  • eranova
  • Charlotte, NC

Job Description

Role : AI Platform Engineer

Location : This is a Hybrid role

About Eranova

Eranova’s platform integrates emerging components across the Generative AI stack to drive value that was not reachable in recent years.

Our platform helps enterprises across industries deploy AI Agents capable of solving problems and achieving levels of automation beyond the reach of traditional software.

Our engineering team works in an aggressive and fast-paced environment but enables entry level through lead engineers to drive real impact and own major deliverables at a company carving the way for enterprise applications of AI Agents.

Responsibilities

  • Understand and maintain the end-to-end infrastructure of our platform
  • Personally own and deliver new features within our platform (Anything from scaling infrastructure to unique applications of Generative AI based components)
  • Emphasis on back-end application development but occasional front-end development will be required

Qualifications

Required / Must-have:

  • Solid/proven experience in Python development.
  • Hands on experience with LLM based applications.
  • Strong knowledge of AWS cloud platform.
  • Introduction to RAG-based applications
  • Knowledge of Azure is desirable.
  • Hands on experience building applications using AWS serverless services (Lambda, API Gateway, S3, SQS, etc.)
  • Experience with IaC (infrastructure-as-code) solutions.
  • Experience in containerized application development with tools like Docker.
  • Experience with container orchestration services (AWS ECS (Fargate) or Kubernetes) to deploy, monitor and optimize container-based applications.
  • Familiarity with CI/CD pipelines.
  • SQL and NoSQL database experience
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Ability to organize, manage, and deliver multiple concurrent requirements on time
  • Meticulous attention to detail

Preferred:

  • HTML, CSS, JS
  • Knowledge of various types of LLMs
  • Vector database and embedding model experience
  • LLM structured outputs & tool calls
  • Served in some degree of a client facing role

Note : This position does not offer visa sponsorship. Applicants must be authorized to work in the United States without sponsorship.

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