TensorZero
Member of Technical Staff — Product Engineering (Full-Stack)
TensorZero, New York, New York, us, 10261
Member of Technical Staff — Product Engineering (Full-Stack)
Join to apply for the
Member of Technical Staff — Product Engineering (Full-Stack)
role at
TensorZero .
Base pay range: $200,000.00/yr - $300,000.00/yr.
TensorZero enables a data and learning flywheel for optimizing LLM applications:
a feedback loop that turns production metrics and human feedback into smarter, faster, and cheaper models and agents. Today, we provide an
open-source stack for building industrial-grade LLM applications
that unifies an LLM gateway, observability, optimization, evaluation, and experimentation. You can take what you need, adopt incrementally, and complement with other tools. Over time, these components enable you to set up a principled feedback loop for your LLM application. The data you collect is tied to your KPIs, ports across model providers, and compounds into a competitive advantage for your business.
Our vision is to automate much of LLM engineering.
We’re laying the foundation for that with open-source TensorZero. With our data model and end‑to‑end workflow, we will proactively suggest new variants, backtest on historical data, enable live A/B testing, and repeat the process. Engineers can focus on higher‑level workflows – deciding data flows, measuring success, incentivizing behaviors – and leave low‑level implementation to an automated system. This is the future we see for LLM engineering as a discipline.
For more details, see:
GitHub Repository
Announcement: TensorZero Raises $7.3M Seed Round to Build an Open‑Source Stack for Industrial‑Grade LLM Applications
Case Study: Automating Code Changelogs at a Large Bank with LLMs
Essay: Think of LLM Applications as POMDPs — Not Agents
VentureBeat: TensorZero nabs $7.3M seed to solve the messy world of enterprise LLM development
Role We are looking for a Member of Technical Staff who is hungry to learn and contribute across the stack. In the early days, you’ll ship high‑impact, user‑facing features (e.g., TensorZero UI, applications of TensorZero). You’ll work alongside experts in front‑end (e.g., co‑creator of Radix UI, React Router, RemixJS), back‑end (e.g., ex‑maintainer of the Rust compiler), and ML (e.g., researchers with thousands of citations). The vast majority of your work will be open source.
Team & Culture We’re a small, deeply technical team based in NYC (in person). As an early contributor, you’ll work closely with us and have a significant impact on the project’s future and vision.
Viraj Mehta (Co‑Founder & CTO) – ML researcher with deep expertise in reinforcement learning, generative modeling, and LLMs.
Gabriel Bianconi (Co‑Founder & CEO) – former Chief Product Officer at Ondo Finance, with extensive ML consulting experience.
Aaron Hill (MTS) – back‑end engineer with deep expertise in Rust, former maintainer of the Rust compiler.
Andrew Jesson (MTS) – ML researcher with expertise in Bayesian ML, causal inference, RL, and LLMs.
Alan Mishler (MTS) – ML researcher specializing in causal inference, sequential decision making, and algorithmic fairness.
Shuyang Li (MTS) – former staff software engineer at Google focused on search infrastructure and LLM‑based search.
What we offer
Competitive compensation – salary, equity, and benefits.
Open‑source contributions – the vast majority of your work will be open source and public.
Learning and growth opportunities – work alongside experts in front‑end, back‑end, and ML to build high‑impact products.
Small technical, in‑person team – help shape vision, culture, and engineering practices.
Best‑in‑class investors – started by FirstMark, Bessemer, Bedrock, and other leading funds.
We’re Looking For
Strong technical background – tackle hard problems and drive large projects from inception to deployment.
Passionate about craft & design – re‑think developer tooling from first principles.
Hungry for personal growth – no speed limits at TensorZero.
In‑person in NYC – five days a week in NYC. Maintain a healthy lifestyle and long‑term mindset.
Compensation range: $200,000 - $300,000.
GitHub repository
#J-18808-Ljbffr
Member of Technical Staff — Product Engineering (Full-Stack)
role at
TensorZero .
Base pay range: $200,000.00/yr - $300,000.00/yr.
TensorZero enables a data and learning flywheel for optimizing LLM applications:
a feedback loop that turns production metrics and human feedback into smarter, faster, and cheaper models and agents. Today, we provide an
open-source stack for building industrial-grade LLM applications
that unifies an LLM gateway, observability, optimization, evaluation, and experimentation. You can take what you need, adopt incrementally, and complement with other tools. Over time, these components enable you to set up a principled feedback loop for your LLM application. The data you collect is tied to your KPIs, ports across model providers, and compounds into a competitive advantage for your business.
Our vision is to automate much of LLM engineering.
We’re laying the foundation for that with open-source TensorZero. With our data model and end‑to‑end workflow, we will proactively suggest new variants, backtest on historical data, enable live A/B testing, and repeat the process. Engineers can focus on higher‑level workflows – deciding data flows, measuring success, incentivizing behaviors – and leave low‑level implementation to an automated system. This is the future we see for LLM engineering as a discipline.
For more details, see:
GitHub Repository
Announcement: TensorZero Raises $7.3M Seed Round to Build an Open‑Source Stack for Industrial‑Grade LLM Applications
Case Study: Automating Code Changelogs at a Large Bank with LLMs
Essay: Think of LLM Applications as POMDPs — Not Agents
VentureBeat: TensorZero nabs $7.3M seed to solve the messy world of enterprise LLM development
Role We are looking for a Member of Technical Staff who is hungry to learn and contribute across the stack. In the early days, you’ll ship high‑impact, user‑facing features (e.g., TensorZero UI, applications of TensorZero). You’ll work alongside experts in front‑end (e.g., co‑creator of Radix UI, React Router, RemixJS), back‑end (e.g., ex‑maintainer of the Rust compiler), and ML (e.g., researchers with thousands of citations). The vast majority of your work will be open source.
Team & Culture We’re a small, deeply technical team based in NYC (in person). As an early contributor, you’ll work closely with us and have a significant impact on the project’s future and vision.
Viraj Mehta (Co‑Founder & CTO) – ML researcher with deep expertise in reinforcement learning, generative modeling, and LLMs.
Gabriel Bianconi (Co‑Founder & CEO) – former Chief Product Officer at Ondo Finance, with extensive ML consulting experience.
Aaron Hill (MTS) – back‑end engineer with deep expertise in Rust, former maintainer of the Rust compiler.
Andrew Jesson (MTS) – ML researcher with expertise in Bayesian ML, causal inference, RL, and LLMs.
Alan Mishler (MTS) – ML researcher specializing in causal inference, sequential decision making, and algorithmic fairness.
Shuyang Li (MTS) – former staff software engineer at Google focused on search infrastructure and LLM‑based search.
What we offer
Competitive compensation – salary, equity, and benefits.
Open‑source contributions – the vast majority of your work will be open source and public.
Learning and growth opportunities – work alongside experts in front‑end, back‑end, and ML to build high‑impact products.
Small technical, in‑person team – help shape vision, culture, and engineering practices.
Best‑in‑class investors – started by FirstMark, Bessemer, Bedrock, and other leading funds.
We’re Looking For
Strong technical background – tackle hard problems and drive large projects from inception to deployment.
Passionate about craft & design – re‑think developer tooling from first principles.
Hungry for personal growth – no speed limits at TensorZero.
In‑person in NYC – five days a week in NYC. Maintain a healthy lifestyle and long‑term mindset.
Compensation range: $200,000 - $300,000.
GitHub repository
#J-18808-Ljbffr