About the Role
Lazer is a world-class digital product studio composed of 80+ 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 out our help because we have the talent to deeply understand their needs and provide industry, technical, or product insights that are uniquely valuable to their efforts. Our clients range from early-stage startups and venture studios to recognizable commerce brands and exciting enterprises. Some of our notable clients include Google, Shopify, Coinbase, Alchemy, Hinge, OVO, DIMO, and more.
We are a remote-first organization headquartered in Toronto, Ontario, with employees worldwide. We believe in providing the best experience possible for all Lazerites by fostering a strong community through regular events, company vacations, competitive compensation, unlimited PTO, and more!
Join Lazer and help us solve problems and build the next generation of products!
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.
4 to 6 years of experience as a Fullstack developer.
Familiarity with one or more of the 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.
Experience doing prompt engineering in a structured way with defined experiments.
Experience fine-tuning LLMs with open-source models or closed-source services.
Experience creating testing infrastructure around LLM applications.
Experience working in consulting or contracting contexts.
Nice to Have The following would be bonus experience to have, though highlight any additional experience or skills you may have. We like working with people with varied backgrounds and experiences.
Experience working with other GenAI contexts with image generation, video generation, etc.
Experience working with Kubernetes.
Experience with ETL workflows (e.g., Airflow)
Strong statistics and data science background for intelligent analysis of data.
Relevant industry certifications or publications.
Perks The flexibility to work from anywhere . Choose where you work from as long as it has strong wifi :)
Unlimited PTO . Everyone needs a break. 15 days is the minimum number of days you should take off but there is always more.
Annual Retreat . Every year, we all meet in one location and spend a week together off work. Last year we went to the Dominican Republic with our plus one's and past destinations include Cancun, Hawaii and more.