Backend Developer

AgileGrid Solutions

United States

Remote

USD 120,000 - 160,000

Full time

10 hours ago
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Benefits offered by this job

Equity
Fully remote
Above-market compensation

Job summary

Jobrapido seeks a Backend Engineer to build and own the backend platform and infrastructure for an AI-native consumer product. You will work across orchestration, model inference, and distributed systems, turning evolving AI capabilities into reliable production experiences.

You will identify technical challenges, make architectural choices, and ship features with autonomy in a fast-paced, high-expectation environment. This fully remote role offers ownership from day one.

Qualifications

  • Experience designing, building, and operating production backend systems.
  • Knowledge of distributed systems, APIs, data infrastructure, reliability and scalability.
  • Familiarity with AI/ML tooling and production AI systems is a plus.

Responsibilities

  • Build and evolve backend services and infrastructure for a new consumer AI product.
  • Design systems that support AI-driven reasoning, integrations with tools and services, and complex user workflows.

Skills

Backend systems design
Distributed systems
APIs
Data infrastructure
Reliability
SQL databases
NoSQL databases
Docker
Kubernetes
Python
Node.js
PyTorch
OpenAI
Anthropic
Language models

Tools

Docker
Kubernetes

Job description

About The Company

Jobrapido is partnering with a well-funded AI venture backed by an established technology business serving millions of users worldwide. With more than $100 million committed to the new venture, the company is building an ambitious AI-native consumer product from the ground up. Its founding engineering team includes people with experience at organizations such as Google, ByteDance, Instacart, and Proton.

About The Company

Jobrapido is partnering with a well-funded AI venture backed by an established technology business serving millions of users worldwide. With more than $100 million committed to the new venture, the company is building an ambitious AI-native consumer product from the ground up. Its founding engineering team includes people with experience at organizations such as Google, ByteDance, Instacart, and Proton.

This is an early-stage environment with a small, highly capable team and ambitious goals. The company is moving quickly, and priorities may evolve as the product and technology take shape. The opportunity is designed for engineers who are motivated by meaningful ownership, rapid development, and the challenge of building systems that do not yet exist.

About The Role

As a Backend Engineer, you will help build the backend platform, infrastructure, and orchestration systems at the heart of a new AI-native consumer product. This is a genuine zero-to-one opportunity, offering significant ownership from your first day and the chance to influence important product and architectural decisions.

The product aims to go beyond answering questions. It will use modern AI capabilities to reason, interact with tools and services, and help users complete complex workflows. You will work across backend engineering, AI infrastructure, model inference, orchestration, and distributed systems, turning evolving AI capabilities into reliable production experiences.

This is not a role within an established platform where every decision has already been made. You will be expected to identify technical challenges, evaluate approaches, make sound architectural choices, build and ship quickly, and take responsibility for the systems you put into production. The environment is intense, with high expectations, substantial autonomy, changing priorities, and occasional periods of longer hours.

Qualifications

We are interested in exceptional engineering ability, sound judgment, and a willingness to take ownership, rather than a specific number of years of experience or an exact match with every technology. You will likely bring experience designing, building, and operating production backend systems, along with knowledge of distributed systems, APIs, data infrastructure, reliability, and scalability.

Experience with production AI systems, large language model applications, agents, inference infrastructure, or orchestration is particularly relevant. Background as a founding engineer, early employee, or engineer in a fast-moving startup or scale-up may be valuable. The current technology environment includes Python, Node.js, PyTorch, OpenAI, Anthropic and open-source language models, SQL and NoSQL databases, Docker, and Kubernetes. Familiarity with all of these is not required; the ability to solve difficult engineering problems matters most.

Responsibilities

Build and evolve backend services and infrastructure for a new consumer AI product. Design systems that support AI-driven reasoning, integrations with tools and services, and complex user workflows. Develop and improve orchestration and inference capabilities, and help ensure AI features operate reliably in production.

Make architecture and implementation decisions in collaboration with a small engineering team. Identify risks and bottlenecks, improve system performance and resilience, and take features from initial idea through deployment and ongoing operation. Contribute to technical discussions, challenge assumptions constructively, and adapt as the product and its priorities develop.

Benefits

This fully remote opportunity offers highly competitive, above-market compensation and meaningful equity. You will have significant autonomy, direct influence over the product and architecture, and the chance to work on complex challenges across AI and production infrastructure. The role is best suited to someone who actively values the pace, responsibility, and intensity of an early-stage venture.

Equal Opportunity

Jobrapido and the hiring company value qualified candidates with a range of experiences and perspectives. Hiring decisions are based on relevant skills, experience, and the needs of the role. Applicants are considered fairly and without discrimination in accordance with applicable laws.

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