At Zyte, we don’t just collect web data—we solve complex web data challenges at scale. We are a globally distributed team that is bold, curious, and dedicated to building innovative ways to deliver clean, reliable web data from across the internet.
At Zyte, we don’t just collect web data—we solve complex web data challenges at scale. We are a globally distributed team that is bold, curious, and dedicated to building innovative ways to deliver clean, reliable web data from across the internet.
At Zyte, we don’t just collect web data—we solve complex web data challenges at scale. We are a globally distributed team that is bold, curious, and dedicated to building innovative ways to deliver clean, reliable web data from across the internet.
Location: San Francisco, CA
On-Site | Full-time
Compensation: $150K - $250K
Our client, an elite Y Combinator-backed startup based in San Francisco, is building the software factory for the enterprise. Traditional SaaS platforms force companies into rigid workflows requiring months of forward-deployed engineering, while custom agency builds cost millions and rarely scale beyond proofs of concept. By leveraging autonomous coding agents, our client automates the forward-deployed engineering layer—capturing desktop workflows, mapping business logic, and deploying custom, AI-native software stacks tailored to each client.
As a FDE / AI Engineer, you will build the core architecture of this software factory. You will own the full end-to-end stack—from high-throughput telemetry capture and privacy pipelines to knowledge graphs and autonomous software generation agents. This role requires exceptional technical capability, a product-first mindset, and extreme dedication to building a category-defining company.
Key Responsibilities:
At Zyte, we don’t just collect web data—we solve complex web data challenges at scale. We are a globally distributed team that is bold, curious, and dedicated to building innovative ways to deliver clean, reliable web data from across the internet.
Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Data Engineer to own the layer everything else depends on: ingestion and transformation pipelines, storage and warehouse design, and the retrieval infrastructure that AI systems query. The role is fully remote across Latin America, aligned to your client's working day.
You will not be building pipelines that work until the schema changes. Azumo has shipped production data systems since 2016, and the work here is judged downstream: whether a model can be trained on what you deliver, whether a retrieval query returns the right passage, whether a number survives being questioned by the client.
Where this role sits
Azumo's engineering organization is built around four lanes. The Data Scientist lane owns the question and the method. The AI Engineer lane owns production behavior. The Software Engineer lane owns AI-augmented product delivery. This role is the Data Engineer lane, and it owns pipelines, storage, and the retrieval layer.
One question places the boundary: when the output is wrong, whose problem is it? "The data was missing, stale, or wrong by the time it arrived" is yours."The system did the wrong thing with data that was correct" is the AI Engineer's.
Not quite your profile? Check our other openings:
Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring an AI Engineer to own what those systems do once they are live: retrieval pipelines, tool-using agents, evaluation harnesses, and the guardrails that keep them dependable in front of real users. The role is fully remote across Latin America, aligned to your client's working day.
You will not be building demos. Azumo has shipped production AI since 2016, and the work here starts where the prototype ends, making a system reliable, measurable, and affordable enough to put in front of customers.
Where this role sits
Azumo's engineering organization is built around four lanes. The Data Engineer lane owns pipelines, storage, and the retrieval layer. The Data Scientist lane owns the question and the method. The Software Engineer lane owns AI-augmented product delivery. This role is the AI Engineer lane, and it owns production behavior.
One question places the boundary: when the output is wrong, whose problem is it? "The method was inappropriate" is a Data Scientist question. "The system did the wrong thing with an appropriate method" is yours.
Not quite your profile? Check our other openings:
Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
Role Overview
The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across Google Cloud Platform(GCP).. You will bridge the gap between AI research and production-grade cloud infrastructure.
You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Requirements
Technical Requirements
Location: New York, United States (Office)
On-Site | Full-time
Compensation: $225K - $300K
Our client is a high-growth fintech startup on a mission to re-imagine financial exchange infrastructure from first principles, delivering fair, robust, and transparent order execution. Founded by customer-obsessed engineers and researchers, the organization tackles complex technical challenges in a fast-paced, collaborative environment.
The engineering team is focused on building a high-throughput, low-latency financial exchange. Depending on core technical strengths and interests, the successful candidate will contribute directly to the architecture and execution of critical systems, including matching engine development, trading APIs, or real-time market data feeds.
Key Responsibilities
Location: Remote - Europe
Remote | Full-time
Compensation: $120K - $200K
We are hiring on behalf of our client, a fast-paced, dynamic, and fully remote team in the decentralized finance (DeFi) and Web3 space who is seeking an experienced Senior Backend Engineer. The employer operates with an ambitious roadmap and a strong commitment to engineering rigor, high-grade security, and rapid execution.
As a Senior Backend Engineer, the selected candidate will play a critical role in designing, developing, and maintaining robust, high-throughput, and scalable backend systems. This role extends beyond writing code to architecting resilient, secure systems optimized for low-latency, real-time processing in financial services.
The ideal candidate brings over eight years of engineering experience, a deep interest in Web3 and DeFi, and a strong dedication to high code quality and state-of-the-art software testing methodologies.
Key Responsibilities
Backend Development
