AI ML ENGINEER
The System
Phoenix, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Phoenix, United States of America
Tech stack
Artificial Intelligence
Google BigQuery
Python
Machine Learning
Open Source Technology
Google Cloud Platform
Large Language Models
Generative AI
Job description
We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs). In this role, you will work on end-to-end GenAI use cases, from model selection to production-ready systems. Key Responsibilities Develop and productionize GenAI applications using LLMs (open-source and closed-source). Design agentic workflows using LangChain and LangGraph.
- Implement short-term and long-term memory strategies for LLM-based systems.
- Optimize prompts, retrieval pipelines, and orchestration logic.
- Collaborate with product and platform teams to deliver scalable AI solutions.
Requirements
- Required Qualifications Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral). Hands-on experience with LangChain and/or LangGraph.
- Solid understanding of LLM memory architectures and state management.
- Proficiency in Python and ML engineering best practices.
Nice to Have
- Experience with Google Cloud Platform services (e.g., Vertex AI, BigQuery, GCS).
- Experience deploying ML/GenAI systems in production environments.