AI Infrastructure 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

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Cloud Computing Python (Programming Language) Machine Learning Natural Language Processing Tensorflow Systems Architecture AI Infrastructure Pytorch

+8 more

Large Language Models Prompt Engineering Generative AI AI Platforms Scikit Learn Software Coding Data Pipelines Microservices

Job description

Technical Leadership

Lead the design and development of AI/ML solutions (LLMs, NLP, Predictive Models)
Define scalable system architecture for AI platforms and data pipelines
Drive best practices in coding, testing, and deployment

Hands-on Development

Build (nice to have), train (Mandatory), fine-tune, and deploy machine learning and GenAI models
Work with frameworks like TensorFlow, PyTorch, and Scikit-learn
Implement LLM-based applications using tools like LangChain or LlamaIndex
Develop APIs and microservices for AI solutions
Sound in Java or Python

Cloud & Deployment

Deploy AI solutions on Azure AI/Cloud cloud platforms
Optimize performance, scalability, and cost

Team & Stakeholder Collaboration

Mentor engineers and data scientists
Collaborate with product managers and business stakeholders
Translate business requirements into technical AI solutions

Requirements

Do you have experience in Software coding?, We are looking for a highly skilled and hands-on AI Technical Lead to design, build, and scale AI/ML solutions. This role requires a balance of deep technical expertise , architecture ownership , and team leadership , with active involvement in coding, model customization, and deployment., * Strong programming in Java, Python LLMs (Transformers, embeddings, prompt engineering)