AI Platform Engineer

4 days ago

Charlotte, North Carolina, United States eranova Full time $120,000 - $180,000 per year

Note

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

Location
: Charlotte, NC (Onsite)

Employment Type
: Full-Time

About Eranova

Eranova's platform automates enterprise workflows through AI agents, unlocking value that traditional software couldn't reach.

Our various modules help 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

· Own major client workstreams and serve as the delivery lead in our partners implementations

· Own and deliver new features within our platform and its key modules

· Contribute to internal automation projects

Qualifications

Client-Facing / General Skills

· Served in a client-facing role

· Ability to organize, manage, and deliver multiple concurrent requirements on time

· Proven ability to workshop through functional client requirements and translate these to system requirements

Development

· Proven experience in Python development

· Object Oriented Programming

· Version control experience with Git/Github

Generative AI Stack (Agentic Experience)

· Experience automating enterprise workflows through AI agent-based systems

· Large language models

· Vision models

· Reasoning models

· Structured outputs

· Multimodal models

· Function calling

· RAG / Embedding Models

Amazon Web Services (AWS)

· Cloudformation

· Lambda Functions

· DyanmoDB

· S3

· SQS

· API Gateway

· ECS

Deployment

· CloudFormation

· IaC (infrastructure-as-code) solutions

· CI/CD pipelines

· Experience with container orchestration services (AWS ECS (Fargate) or Kubernetes) to deploy, monitor and optimize container-based applications

Database Management Systems

· NoSQL (DynamoDB)

· SQL (Postgres)

Font-End Experience (Optional but preferred)

· Strong proficiency in JavaScript, HTML5, and CSS3

· Django's template system

· Understanding of front-end performance optimization techniques

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