Forward Deployed Engineer

Job not on LinkedIn

August 14

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Logo of Spice AI

Spice AI

Artificial Intelligence • SaaS • Web 3

Spice AI is a company specializing in delivering data and AI infrastructure through its Spice Cloud Platform. This enterprise-grade solution provides managed services for composing SQL query acceleration, vector search, model serving, and an AI gateway as a unified AI backend-as-a-service. The platform supports developers in building AI-driven applications by offering easy access to high-quality datasets, machine learning pipelines, and infrastructure management solutions. It aims to simplify the creation of data and AI-driven apps by providing necessary building blocks and eliminating the need for complex infrastructure management. Spice AI is particularly focused on enabling developers to leverage AI and time-series data efficiently without the need for extensive expertise in data science or machine learning.

2 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

🌐 Web 3

💰 $13.5M Seed Round on 2022-09

📋 Description

• Building data-driven AI applications and agents is too complex, even for advanced developers. At Spice AI, we’re making it simpler by helping developers combine code, data, and AI to build truly intelligent, decision-making systems. • Our mission is to make this as easy as creating a modern web page. • We created Spice.ai OSS, a portable AI database written in Rust with a unified SQL interface to query, materialize, and accelerate data from any source, co-located with machine learning models. • By bringing compute, data, and models together, Spice OSS enables secure AI-Feedback-Loops (AI-Fly-Wheels) for apps and agents to learn and adapt. • We just announced the 1.0-stable release of Spice.ai OSS. • For a deeper dive into the vision, watch Luke's CMU Databases talk on Spice.ai OSS and read his Materialized View interview. • We're also building the Spice.ai Cloud Platform, offering managed, cloud-scale Spice.ai OSS along with tools for high-performance SQL, machine learning training, and inference in an interconnected AI backend-as-a-service. • At Spice AI, we hire for MEI: Merit, Excellence, and Intelligence. • This role requires a Forward Deployed Engineer to embed with customers and partners, accelerating adoption through direct engineering contributions. • Responsibilities include deploying, optimizing, and extending Spice.ai solutions in production environments, while collaborating on product improvements. • If open source, distributed systems, and real-world search & AI deployment drive you, apply.

🎯 Requirements

• 5+ years in engineering roles, with focus on deploying data, search, and AI systems in enterprise environments. • Experience designing, implementing, and scaling production database engines, distributed systems, search engines, and data & AI pipelines. • Track record of strong design, architectural, engineering, and product decisions in customer-facing contexts. • Excellent communication skills. • Ability to ramp up quickly and deliver impact. • Contributions to open-source projects preferred. • Experience with Apache infrastructure, CNCF stack, or cloud-native development. • Deep knowledge of databases, data warehousing, data lakes, search, virtualization, and mesh principles. • Proficiency with Databricks, Snowflake, Starburst, Dremio, ElasticSearch, or similar. • Strong SQL skills in queries, syntax, modeling, and optimizations. • Familiarity with data storage like HDFS, Amazon S3, and relational databases. • Skills in data integration, including ETL/ELT, ingestion, and transformation. • Ability to tune performance and optimize systems. • Knowledge of data security, privacy, authentication, authorization, and encryption. • Problem-solving for complex data challenges. • Presentation skills for technical and executive audiences. • Ability to explain concepts to technical and non-technical stakeholders. • Relationship-building with customers and partners. • Willingness to travel 20%+ based on customer needs.

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