AI Tooling Engineer

🔥 12 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Zyte

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

💼 Consulting

📦 Logistics

📣 Marketing

💰 $3M Debt Financing on 2021-12

Consulting • Logistics • Marketing

Zyte is a company specialized in providing web data extraction solutions that are now powered by AI. They offer a range of products including the Zyte API, which handles ban management, AI scraping, and proxy solutions for seamless web data collection. Additionally, Zyte provides scalable cloud hosting for Scrapy spiders, enabling efficient management and automation of web scraping tasks. Zyte caters to a diverse set of industries, providing data for e-commerce, news, AI, job postings, real estate, and more, while emphasizing legal compliance in their operations. With a focus on streamlined and cost-effective data extraction services, Zyte supports businesses in accelerating their data projects and enhancing data-driven decision-making.

📋 Description

• Build the platform with the Principal Engineer in Tooling: new capabilities every week, from design to production. • Connect new internal systems and SaaS tools to the platform, including APIs, data, shared models, and access permissions. • Build agents and their tools, including MCP servers and the context needed for high-quality answers. • Own evaluation sets, benchmarks, tracing, cost per answer, and issue resolution. • Turn proofs of concept into secure, production-ready internal cloud tools. • Use AI coding agents with specifications, tests, and reviews to maintain code quality. • Contribute to company-wide AI tooling initiatives, including tool evaluation and standardization, cost and usage tracking, and standards for AI-built internal applications. • Help other teams build on the platform. • Engage platform users across the company to identify priorities and explain delivered work to technical and non-technical audiences.

🎯 Requirements

• 3+ years building and shipping production software, mostly in Python, with relational databases. • Has built and shipped with LangGraph at least one agent that real people use: tool calling, retrieval and embeddings, prompt and context design. • Hands-on experience with LLM APIs from the main providers, cost and token optimisation. • Hands-on with MCP or similar tool protocols, as a server and as a client. • Evaluates AI systems properly: test sets, LLM-as-judge, regressions when a prompt or a model changes; tracing and observability with Langfuse or similar. • Integrates APIs and data: SaaS APIs, SQL, data warehouses. • Experience with cloud infrastructure (Google Cloud and/or AWS): containers, managed databases, identity and access, CI/CD. • Uses AI coding agents every day and knows how to keep their output in check. • A sense for security and permissions: identity, least privilege, people see only what they are allowed to see. • Comfortable with version control (GitHub/Bitbucket). • Excellent written and spoken English, technical and non-technical. • Familiarity with web data or web scraping. • Django and Postgres, including vector search with pgvector. • Enough frontend to build and change a chat interface (React, Next.js). • Has built internal tools that colleagues adopted. • Semantic layers or knowledge graphs. • Memory for agents, multi-agent setups. • Previous remote/distributed team experience.

🏖️ Benefits

• Become part of a self-motivated, progressive, multi-cultural team. • Freedom and flexibility to work remotely. • Work with cutting-edge, open-source technologies and tools — and shape the AI tooling the rest of the company relies on.