Staff / Principal Backend Engineer

Why Join Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA. About the role Inworld recently launched a few exciting new products (Inworld TTS) for consumer AI applications, and we’re looking for an ambitious and capable Staff/Principal Backend Engineer to join us and help take the Inworld AI platform even farther. Here is what you are going to work on: New exciting products, ambitious and large-scale, in the lineup for the launch later this year. API-based model services: Our custom TTS models and API includes free instant voice cloning. Learn more and hear examples at inworld.ai/tts. Better yet, sign up yourself at platform.inworld.ai, try out the premade voices, clone your own voice in just a few seconds, and let us know what you think! Beyond TTS, there is also LLM, Knowledge/RAG, STT, and more. Services for control and optimization, such as the Dynamic A/B experiments. We’re just getting started on these deeper capabilities. Finally complicated and exciting Infrastructural projects: platformization of new product upcoming offering, development and integration of best development tools, projects like system-wide billing and so on. As a Staff Backend Engineer, you would be a significant part of one or more of these areas. The key challenges are: Shipping quickly. AI is evolving weekly, so there’s a ton of opportunity to be had. We want to move fast to capture those opportunities while they are still fresh and full of potential. Zero to one. The platform is not a simple copycat. We have a vision for a deep platform/suite of capabilities that make it dramatically simpler for developers to scale and evolve their AI. Realtime, online. As consumer applications become more capable of listening and talking, performance will matter, and AI has to adapt in realtime as well. These are bold but exciting challenges. Finally, almost everything here is a collaboration with our sibling ML teams, since ML and AI are critical to providing the learning and adaptability central to this vision. Please note: This is an IC-focused role. We are looking for someone who loves direct technical contribution alongside very capable peers. What you’ll do Establish significant scope: Collaborate with the PMs, engineers and leads to determine the biggest product needs to focus on now. Operate with technical autonomy: You have considerable leeway to suggest how to address a given focus area, including bringing in new technical dependencies or standards where it’s the best choice. Collaborate, execute, deliver: This is the core of the building loop. We aim to optimize for both speed and quality, despite it being decidedly non-obvious how to manage that tradeoff exceptionally well. Reflect and drive improvements: Especially as a Staff Engineer, advocate for and realize system improvements, both related to and independent of key features. Expected experience Excellent programming skills and experience in a statically typed backend programming language, preferably Go, Kotlin, Java or Rust Experience developing and deploying cloud-based services to at least hundreds of qps (preferably more) Experience with relational databases (PostgreSQL or MySQL) Hands-on experience with caching (Redis or Memcached), pubsub/queues, data pipelines (Flink, Beam), and Cloud storage Excellent verbal and written communication skills, can collaborate and coordinate with other roles and engineer with ease, trusted and well-regarded teammate Bonus Qualifications Experience with analytics or timeseries databases (ClickHouse, Timescale, InfluxDB) Experience with OpenTelemetry Experience with C++ The base salary range for this full-time position is C$180,000-$C260,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.

The engineer will establish significant scope by collaborating with product managers and leads to determine key product needs, while operating with technical autonomy to suggest solutions and standards. They will focus on collaboration, execution, and delivery to optimize for both speed and quality, and advocate for system improvements as a Staff Engineer.

Candidates must possess excellent programming skills in a statically typed backend language, preferably Go, Kotlin, Java, or Rust, and have experience deploying cloud services handling hundreds of queries per second or more. Required experience also includes working with relational databases, caching systems, pub/sub queues, data pipelines, and cloud storage.

• PostgreSQLSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Go
• Kotlin
• Java
• Rust
• Cloud-based Services
• Relational Databases
• PostgreSQL
• MySQL
• Caching
• Redis
• Memcached
• Pubsub/Queues
• Data Pipelines
• Flink
• Beam
• Cloud Storage

• Engineering
• Software
• Science & Research
• Data & Analytics
• Technology

Expérience minimale

10+ ans

Postuler avant le

1 mars 2027

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, British Columbia, Canada

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte