LLM Deployment Engineer

OpenKyber LLC

United States

3 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration Graph Database Python (Programming Language) Software Engineering Google Cloud Large Language Models Generative AI Backend

+4 more

Scikit Learn Machine Learning Operations Front End Software Development Restful APIs

Job description

Build AI applications using LLMs and advanced techniques like GraphRAG
Develop autonomous agents using modern frameworks
Design and implement REST APIs and full-stack solutions
Deploy AI workloads on cloud platforms (AWS, Azure, or Google Cloud Platform)
Apply LLMOps/MLOps best practices (CI/CD, monitoring, scaling)
Work with embeddings, knowledge graphs, and ontology-based systems
Collaborate across teams and contribute to technical innovation

Requirements

5+ years of AI/ML-focused software engineering experience
Strong Python skills and experience with AI/ML libraries
Hands-on experience with LLMs and GenAI applications
Experience with GraphRAG, embeddings, and knowledge graphs
Full-stack development experience (backend + frontend basics)
Cloud experience (AWS, Azure, or Google Cloud Platform)
Strong problem-solving and communication skills

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Good distractions

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

Moments

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1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler +1 · Coffee With Developers

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar · WWC 2024

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Choosing specialized libraries beyond scikit-learn

Adrian Schmitt · LIVE

5:30 min

Building components of a real-world LLM lifecycle

Maxim Salnikov · LIVE

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto · WWC 2024

1:59 min

Building culturally aware LLMs for global audiences

Werner Vogels +1 · WWC Europe 2026

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