Why This Job is Featured on The SaaS Jobs
This Senior Software Engineer role sits at a key junction in modern SaaS: turning LLM and NLP capabilities into dependable platform primitives that can be consumed across a broader product. Within a data and applications platform context, the emphasis on scalability, availability, and resilience signals work that is closer to core infrastructure than standalone AI experimentation, with direct relevance to how AI features become production services.
From a SaaS career perspective, the role offers durable experience in productizing AI systems, including deployment automation, quality gates, and inference stack operations at global scale. That blend of platform engineering and MLOps translates well across SaaS companies building shared internal platforms, API-based products, or ML-enabled features where reliability and cost-performance tradeoffs matter as much as model quality. The cross-functional component also builds fluency in aligning engineering execution with longer-horizon product direction.
This position best fits an engineer who prefers ambiguous platform problems over isolated feature work, and who enjoys shaping interfaces such as SDKs and service APIs that other teams depend on. It also suits someone ready to lead end-to-end initiatives and mentor others while remaining hands-on with production systems and operational rigor.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
Senior Software Engineer - AI Poland
We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.
We're looking for a talented and motivated Senior Software Engineer to join our AI Functions Platform team, specializing in the scalability, availability and resilience of LLMs, NLP, and AI tools. In this role, you will have the opportunity to leverage your expertise to contribute to the development and productization of platforms for cutting-edge AI projects (e.g. multi-modal LLMs) that are or will be integrated into the Snowflake platform making a significant impact on the company’s portfolio.
Some of the projects we are currently working on include full deployment automation of our inference stack while maintaining quality gates supporting Snowflake’s global scale, and a new architecture for multi-modal inference to support the growing demand for AI capabilities.
Your journey as a Software Engineer
Working in our team you will:
Think creatively to find optimal solutions to our complex, often ambiguous problems
Participate in all stages of developing and serving new platforms for various AI solutions and improving existing Snowflake’s functionalities in the AI domain
Work closely with other research, engineering, and business teams to understand and shape the short and long-term product development strategy
Serve as a mentor to less experienced engineers, researchers, and product managers
Ideal candidate
5+ years of experience writing production-quality scalable code using backend languages (preferred Go, Python, Java)
Prior end-to-end technical leadership over a feature or a product.
BSc in a technical field (AI/ML, CS, DS, Physics, Math, etc), MSc/PhD is a plus
Professional level in building SDKs / web service APIs (REST/ gRPC)
Experience with software engineering best practices (programming, testing, version control, CI/CD, docker/Kubernetes, Jenkins, agile development, etc)
High levels of curiosity and eager enthusiasm for open-ended problems. Experience and interest in problem formulation based on relatively abstract information
Ability to articulate results and complex concepts to leadership
Must be able to produce solutions independently in an organized manner, work in a team, and also be able to lead a team when required
Hands-on experience in the MLOps field (e.g., deploying ML models) will be a strong asset.
Prior model benchmarking experience is a plus.
Experience in inference throughput optimization is a plus.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
