Greenfield AI Platform Engineer

Hotwire Communications

Fort Lauderdale (FL)

On-site

USD 100,000 - 130,000

Full time

14 days+
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Benefits offered by this job

401K Retirement Plan with Company Match
Paid Vacation, Sick Time, and Additional Holidays
Hotwire Service Discounts

Job summary

Hotwire Communications is seeking an AI Engineer in Fort Lauderdale, Florida, to design and build the core AI platform supporting its business units. This greenfield role offers high ownership, working closely with the Director of AI Implementation.

Responsibilities include building reliable AI pipelines, deploying models, and ensuring compliance with data security standards. Candidates should have strong Python skills and experience with production-grade LLM applications.

The position includes benefits like a 401K plan and paid vacation.

Qualifications

  • 2-4 years building and operating production LLM applications.
  • 4 years of software engineering experience.
  • Expert-level Python programmer.
  • Deep understanding of API design and distributed system fundamentals.
  • Hands-on experience with CI/CD pipelines and containerization.

Responsibilities

  • Design and build the core AI platform for reliable pipelines.
  • Own the model deployment layer and LLM endpoints configuration.
  • Implement a model abstraction layer to avoid vendor lock-in.
  • Build internal AI SDKs for future engineers.
  • Participate in Steering Committee reviews and translate risks.
  • Build operational safety infrastructure around AI services.

Skills

Building production LLM applications
Software engineering
Python programming
API design
Microservices patterns
CI/CD pipelines
Containerization (Docker)
Cloud-native deployment

Job description

Hotwire Communications is seeking an AI Engineer in Fort Lauderdale, Florida, to design and build the core AI platform supporting its business units. This greenfield role offers high ownership, working closely with the Director of AI Implementation.

Responsibilities include building reliable AI pipelines, deploying models, and ensuring compliance with data security standards. Candidates should have strong Python skills and experience with production-grade LLM applications.

The position includes benefits like a 401K plan and paid vacation.

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