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Day 44
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
New York City Office · New York City, New York, USA
Live, first seen by us 44 days agoLocation type: On-siteFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: EngineeringFrom the employer’s posting
We’re looking for a high-agency Senior Backend Engineer to bridge the gap between cutting-edge ML research and real-world product delivery.
This role involves creating data pipelines, evaluation harnesses, and scalable production-grade agentic systems.
Build production agentic systems using LLMs and vision models
Create data pipelines, evaluation harnesses, and training pipelines
Design resilient systems for model deployment, evaluation, and monitoring
Research tools and models to pick the best fit for each workflow
Translate research techniques into production-ready systems with researchers
We’re looking for a high-agency Senior Backend Engineer to bridge the gap between cutting-edge ML research and real-world product delivery. You’ll design and build agentic workflows that power complex healthcare processes to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare.
This role involves creating data pipelines, evaluation harnesses, and scalable production-grade agentic systems. You’ll be responsible for researching the right tools and models, ensuring we always use the best-fit technology for each workflow..
You’ll help build agentic systems that use LLMs, and vision models, and structured automation
This role involves creating data pipelines, evaluation harnesses, and scalable production-grade agentic systems.
Design resilient systems for model deployment, evaluation, and monitoring that stay reliable as traffic grows.
You’ll be responsible for researching the right tools and models, ensuring we always use the best-fit technology for each workflow.
you’ll work hand-in-hand with researchers to translate new techniques and insights into production-ready systems
The ideal candidate has full-stack engineering experience
hands-on expertise with LLM APIs
a proven track record of deploying AI systems into production
A track record of working through the full lifecycle of building, testing, deploying, scaling, and monitoring LLM-centered software architectures.
with a strong understanding of system design, backend engineering, and observability infrastructure
From the employer’s posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 44
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
2 open jobs
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.
We’re looking for a high-agency Senior Backend Engineer to bridge the gap between cutting-edge ML research and real-world product delivery. You’ll design and build agentic workflows that power complex healthcare processes to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare.
This role involves creating data pipelines, evaluation harnesses, and scalable production-grade agentic systems. You’ll be responsible for researching the right tools and models, ensuring we always use the best-fit technology for each workflow..
As part of our ML team, you’ll work hand-in-hand with researchers to translate new techniques and insights into production-ready systems. The ideal candidate has full-stack engineering experience, hands-on expertise with LLM APIs, and a proven track record of deploying AI systems into production. You’ll work across the stack - from data collection to training pipelines to AI agent orchestration to frontend integration - bringing cutting-edge AI solutions to life in real-world healthcare environments.
As a Senior Backend Engineer on the ML team at Tennr, you’ll bridge the gap between cutting-edge ML research and real-world product delivery. You’ll help build agentic systems that use LLMs, and vision models, and structured automation to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare.
Ship full-stack AI systems end-to-end
Design resilient systems for model deployment, evaluation, and monitoring that stay reliable as traffic grows.
Go from ideation to code within hours; iterate quickly on experiments and data.
Collaborate with ML engineers, backend engineers, and cross-functional teams to integrate models cleanly with data pipelines and product
Proficiency in full-stack development, with a strong understanding of system design, backend engineering, and observability infrastructure.
A track record of working through the full lifecycle of building, testing, deploying, scaling, and monitoring LLM-centered software architectures.
Excellent communication and collaboration skills: aligning on interfaces, navigating tradeoffs, and driving cross-team execution.
Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact.
Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure
Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system.
Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week
Free lunch! Plus a pantry full of snacks.
Beautiful new office at 345 Hudson Street
Unlimited PTO
100% paid employee health benefit options
Employer-funded 401(k) match
Competitive parental leave
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New York City, New York, USA
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