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Apply by sending your CV / Resume or LinkedIn to [email protected]
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About Lazer
Lazer is a world-class digital product studio composed of senior engineers and designers with backgrounds from companies like Apple, Google, Coinbase, and more. With our product experience, we have designed, engineered, and ****grown products from $0 to $200M in revenue.
Clients seek our help because we have the talent to understand their needs deeply and can provide uniquely valuable insights in industry, technical, or product areas to support their efforts. Most of our clients are early-stage startups, though we also work with venture studios or new product initiatives in larger organizations.
Some examples of our clients include Google, Coinbase, Shopify, Hinge, OVO, Koho, Certn, Float, Fox Entertainment, RBC Ventures, Air Miles, Rose Rocket, and many more.
Join us to help solve problems for startups and build the next generation of products!
Lazer-EOY-2024-Recap.mp4
The Role
- Engaging with clients and gaining a deep understanding of their problem, needs, goals, and priorities as well as their technical environment with available data and architecture.
- Architecting and developing data-centric and GenAI-focused applications.
- Ensuring best practices with MLOps or LLMOps in testing, monitoring, etc.
- Creating high performance data processing pipelines and data lakes as needed.
- Managing client expectations and project timelines to ensure alignment.
- Clearly communicating any tradeoffs and risks while intelligently addressing any client questions.
- Staying up-to-date with the latest AI trends and technologies.
Requirements
- Strong experience as a software engineer working across different industries.
- Familiarity with one or more of major cloud providers (GCP, AWS, Azure), including commonly used data-specific services such as BigQuery, SageMaker, etc.
- Strong experience with LLM services (OpenAI, Claude, etc.) as well as deploying and managing open-source options such as Llama-based models.
- Proven experience building common AI-powered experiences in information extraction, chatbots, document construction, data normalization, search, etc.