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ML Platform Engineer

OpenKyber LLC
United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
indeed.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Databases Data Systems Python (Programming Language) PostgreSQL Machine Learning Azure Machine Learning Large Language Models Prompt Engineering Generative AI Backend
+4 more
Fastapi Information Technology Api Design Automation Anywhere

Job description

We are seeking a talented AI/ML Engineer to join our growing engineering team and contribute to innovative AI-powered solutions within a production SaaS platform.

The role focuses on practical implementation of generative AI and machine learning features used directly by customers., * Design and implement AI-powered product features.

  • Develop and refine prompt engineering strategies.
  • Build Python-based APIs and backend services supporting AI workflows.
  • Work with PostgreSQL and vector-based data systems.
  • Implement services using FastAPI or similar frameworks.
  • Collaborate with product and engineering teams on feature design.

Requirements

  • Python programming
  • Generative AI / LLM concepts
  • PostgreSQL or structured databases
  • API development
  • FastAPI or similar backend frameworks

Education Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or related field.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:34 min

Pivoting careers into specialized platform engineering roles

Xavier Portilla Edo · LIVE

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · WWC 2024

7:10 min

Exploring pathways into the machine learning engineering field

Jose Luis Latorre Millas · LIVE

Videos

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OpenAPI meets OpenAI thumbnail
29:50
WWC 2024 • almost 2 years ago

OpenAPI meets OpenAI

Christopher Walles

Kubernetes and Microservices with Multi-Model Databases thumbnail
29:30
WWC 2022 • about 4 years ago

Kubernetes and Microservices with Multi-Model Databases

Wei Hu

Intro to FastAPI thumbnail
42:19
WWC 2022 • about 4 years ago

Intro to FastAPI

Sebastián Ramírez

Developing the Backend with Stefan Lingler, CTO at Shpock thumbnail
24:02
Coffee With Developers • about 8 years ago

Developing the Backend with Stefan Lingler, CTO at Shpock

Stefan Lingler, Thomas Pamminger

Multilingual NLP pipeline up and running from scratch thumbnail
52:37
LIVE • about 2 years ago

Multilingual NLP pipeline up and running from scratch

Kateryna Hrytsaienko

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
WWC 2024 • almost 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

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