ML Infrastructure Architect

OpenKyber LLC
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Artificial Intelligence
Azure
Data Structures
Software Debugging
Python
Object-Oriented Software Development
TensorFlow
Workflow Management Systems
PyTorch
Large Language Models
Prompt Engineering
HuggingFace
Machine Learning Operations
Asynchronous Programming
Api Design
GPT
Software Library

Requirements

  • Python Programming: Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.
  • LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.
  • Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar.
  • Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs.
  • Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.
  • API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows.
  • Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
  • Ability to develop workflow automation via an agentic framework Azure experience preferred

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