Jobs Ask AI Pay Interviews Companies CompareSign in

Wait…

We read every job from the company's own job board. You apply on the company site.Jobs Job types Internships New graduate jobs Companies Pay Reported pay Check an offer Add your pay Interview questions Add your interview questions Compare with LinkedIn Job sites compared Pay transparency laws API for developers Monthly report Companies we cover Make a portfolio page For companies: find people About Privacy

Member of Technical Staff

Chakra Labs, New York

Posted pay

Pay not posted

Location: New York
Work type: Onsite
Level: Not given
Skills in the job text: Kubernetes
Kafka
Posted: Apr 8, 2026
Last check: 2 h ago
Job type: ML / AI engineering

Apply on the Chakra Labs site Make a résumé and a cover letter for this job Sign in to save

The Chakra Labs site opens in a new tab.

CL

Chakra Labs

About Chakra Labs: funding, hiring and pay

Check my fit

Compare your résumé with this job. See where you match, what is missing and which lines to change.

Sign in to check your fit

Make a résumé and a cover letter for this job

Paste your résumé, or use the résumé on your profile.
Get the résumé as a PDF and the letter as text. We use only the facts in your résumé.
Apply on the Chakra Labs site.

Open the apply kit

What you will do

Agent orchestration at scale. Hundreds of agent runs at once, each with its own stateful environment. 100M tokens per minute across the fleet. You own the dispatch layer: SQS, concurrency control, failure handling.

Environment and task design. We need environments that feel real and scenarios that actually push agents to their limits. You'd figure out how to build new evaluations and design the tasks that test what matters, not just what's easy to measure.

The product around the platform. Infrastructure nobody can use isn't infrastructure. You'd build the surfaces our customers touch - dashboards for run inspection, tooling for experts to use, APIs that make the platform feel obvious - and ship them end to end.

New frontiers. The agent evaluation space is moving fast. You'd stay on that edge, supporting new environment modalities and shipping integrations with external orchestration frameworks.

What you need

Generalist range, infra depth. You're a strong engineer across the stack - backend services, data pipelines, enough frontend to ship a real interface - with genuine depth in systems. You'd rather own a whole problem than a layer of one.
Container orchestration. You're comfortable running Kubernetes or similar in production. Auto-scaling, pod lifecycle, persistent storage, networking. You can figure out why something won't schedule and reason about resource contention.
Distributed systems. You've built or maintained message-driven architectures. SQS, Kafka, or similar. You know how to keep jobs moving when things back up, retry without duplicating, and fail without losing work.
LLM infrastructure. You've run LLM workloads at scale. Token instrumentation, rate limit handling, prompt caching, multi-provider routing. You've built the plumbing between models and external tools, and you know what it takes to keep it all running under load.
Experience. No hard rule. Ideally at least 3 years at this level, but less works if the above sounds like you.

What makes this different

It's infra, but the workload is AI agents. You're monitoring model behavior alongside pod health, debugging token throughput alongside network throughput.
Our customers are AI researchers and labs. You'd work directly with the people pushing the frontier of what agents can do, and build the infrastructure they run it on.
Ownership, not theater. You own whole systems, not tickets in a queue. One week you're shipping a new environment type, the next you're scaling the dispatch layer to handle 10x the throughput. You will ship your work to real customers, and build things that didn't exist a month ago.
The team. Our team is ex-Stripe, Snap, AWS, Microsoft, Airtable — you'll work with a small team who has years of shipping high-impact products over the last decade.
Cutting edge. You will get to touch the latest and greatest technologies across the data, AI, and infrastructure stack.

About Chakra Labs

Chakra Labs' mission is to encode human taste into intelligence. We build high-fidelity environments, evals, and datasets for frontier AI research, working with several of the top labs.

Our work sits at the frontier of post-training, agent environments, data quality, and research infrastructure. We care about building systems that make models better in ways that are measurable, useful, and hard to fake.

Read the job posting on the Chakra Labs site

Similar jobs at other companies

EV
Member of Technical Staff, Applied Research
Embedding VCNew York, NY
- Hybrid
- Research
- Member of Technical Staff
Pay not posted
Posted 29 days ago
V
Member of Technical Staff - AI
ValkaiNew York City +1
- Onsite
- ML / AI engineering
- Member of Technical Staff
$200K–$350K / yr
Posted Jul 31, 2026
E
Senior/Staff Applied AI Engineer
EchelonSan Francisco
- Staff
- Onsite
- ML / AI engineering
$180K–$250K / yr
Posted Sep 30, 2026
S
Member of Technical Staff
SainapseSan Francisco
- Onsite
- ML / AI engineering
- Member of Technical Staff
- Visa sponsorship in the job text
$140K–$200K / yr
Posted Mar 3, 2026
Founding Engineer
ChasiSan Francisco, California
- Software engineering
$120K–$170K / yr
Posted Apr 19, 2026
checked 2 days ago
Member of Technical Staff (AI Infrastructure Engineer)
PerplexityLondon
- Hybrid
- ML / AI engineering
- Member of Technical Staff
Pay not posted
Posted Apr 13, 2026

Source: the Chakra Labs Ashby job board. We last checked this job 2 h ago. We first saw it 8 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.

Interview questions

No one has reported an interview at Chakra Labs yet. Did you interview there? Add the questions.

CL

Chakra Labs

Open tech jobs: 2
With posted pay: 0%

About Chakra Labs: funding, hiring and pay