Forward Deployed AI Engineer

20k - 30k PLN20 000 - 30 000 PLN/ mies./ mies.UoPUmowa o pracę (brutto)

MidHybryda·WarszawaFull-time·Umowa o pracę

#472833·Dodano 2 dni temu·6

Źródło: justjoin.it

Aplikuj teraz

Tech Stack / Keywords

Java Python C++AI

Podsumowanie oferty

Build and deploy production-grade AI systems for strategic enterprise customers as part of Snowflake’s Cortex AI team. The role focuses on AI solutions and agents using Snowflake AI Platform, Cortex, and native LLM capabilities.

Wymagania

Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
3+ years of professional software engineering experience.
Passion for tackling complex and ambiguous technical challenges, leveraging research and AI to deliver solutions.
Hands-on experience building and shipping LLM-based or ML applications.
Hands-on experience with data modeling, ETL/ELT development, and performance tuning.
Advanced proficiency in Python, Java, C++, or another backend programming language, with experience scripting and automating data workflows.
Problem-solving and communication skills, including the ability to articulate technical concepts to diverse stakeholders.
Ability to adapt to the changing world of Generative AI.

Nice to have:

Experience building production applications using LLMs, especially with RAG and agentic workflows.
Experience with the MLOps lifecycle, including model deployment, monitoring, and evaluation in a cloud environment (AWS, Azure, or GCP).
Understanding of data warehousing principles, architecture, and best practices.
Experience in a customer-facing role, such as solutions architect.
Startup experience.

Obowiązki

Drive Customer Impact:

Architect, build, and deploy enterprise-grade AI solutions, including AI agents.
Build and iterate on AI pipelines and agents from prototype to production, and contribute to evaluation frameworks and observability infrastructure.

Deliver with Velocity:

Design, iterate, and ship high-quality code and ML pipelines.
Translate business objectives into robust, scalable, and performant solutions using Python and SQL.

Productionize AI at Scale:

Own the AI solution implementation lifecycle, from prototyping to deployment, monitoring, and optimization in secure, large-scale production environments.

Be a Strategic Technical Advisor:

Partner with customer data science and engineering teams, advising them on leveraging AI for their business challenges.

Ensure Operational Excellence:

Architect and implement data validation, maintain SLA observability, and manage system interdependencies to ensure reliable AI performance.

Collaborate to Innovate:

Work with Snowflake’s Product and Engineering teams to share customer feedback and influence the future of Snowflake’s AI platform.

Benefity

10% annual bonus.
RSU package valued at approximately 30–50% of the annual base salary.

Premie

Udziały pracownicze

Inne informacje

Recruitment process: application review, interviews, and decision.

Snowflake

12 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz