Generative AI Tech Lead
Hybrid
Full Time
#Engineering
#AI
#Python
#MLOps
#NLP
At Logz.io, we are dedicated to transforming the world of cloud observability. Our team is constantly pushing the limits of what is possible by integrating advanced artificial intelligence into our platform. We are currently on an exciting journey toward autonomous observability, and we want you to help us lead the way. We believe in the power of innovation, and we are looking for someone who shares our passion for building intelligent systems that make a real difference for our users.
The opportunity
We are searching for a Generative AI Tech Lead to join our engineering team in Israel. In this role, you will be at the heart of our mission to improve key metrics like mean time to recovery. You will take the lead in designing and building scalable AI solutions that change how our customers interact with their data. If you love exploring new technologies, reading the latest research papers, and experimenting with both research and development, you will find a home here.
A day in the life
- You will lead the design and implementation of generative AI features, including log summarization, root cause analysis, and automated alert generation.
- You will stay ahead of the curve by researching emerging AI techniques and architecting the scalable infrastructure needed to support these features across our platform.
- You will work closely with cross-functional teams to define our AI strategy while promoting best practices in model performance, data privacy, and responsible deployment.
Who you are
You are a seasoned professional with a strong background in software engineering and a passion for data-intensive systems. We are looking for someone who brings the following to our team:
- At least 5 years of experience in software engineering with a focus on AI or machine learning.
- Deep familiarity with LLMs, orchestration frameworks, RAG, and AI agents.
- Strong proficiency in Python and a solid grasp of prompting best practices.
- A creative, hacker mindset and a can-do attitude that allows you to solve complex problems.
- The ability to explain intricate AI concepts clearly to both technical and non-technical colleagues.
- Fluency in English.
While not required, it is a plus if you have experience with tools like LangChain, LlamaIndex, OpenAI, AWS Lambdas, and AWS Bedrock. We also value familiarity with observability products, MLOps, large-scale data pipelines, and NLP.
Why you'll love it here
We are committed to providing a flexible environment that supports your professional and personal needs. You will enjoy the benefits of our hybrid work model, which allows you to balance your time between home and our collaborative office space. We are excited to see the impact you will have as we continue to evolve our platform.
