Employment Type: Full-Time

Location: Remote, Pakistan

The Role

Pixalate runs AI agents in production against real customer problems: agents that investigate invalid traffic (IVT) for clients, and analytics agents that let customers ask questions of our data directly. These agents are only as good as the instructions and skills behind them.

As an AI Prompt Engineer you own that layer. You will write and maintain the system prompts and the agent skills that decide how our agents behave: what they know, which tools they reach for, when they push back, and, critically, when they stop and ask the user a clarifying question instead of guessing. This is engineering work, not prompt tinkering. You will version your changes, measure them against evaluations, and be accountable for agent behaviour in front of real customers. You will work directly with the team building the IQ Agent and Analytics MCP, the client IVT investigator agents, and the MRT MCP.

What You'll Do

Build and Own Agent Skills

Author and maintain Claude skills and plugins that define agent capabilities and behaviour
Design agents that ask clarifying questions and gather requirements interactively, rather than answering one-shot from incomplete information
Decide what belongs in a skill, what belongs in a system prompt, and what belongs in a tool
Maintain the skill library as products evolve, treating it as a living surface rather than a one-time build

System Prompts for Production Agents

Own the system prompts behind Pixalate's client-facing agents: IVT investigator agents, IQ Agent / Analytics MCP, and MRT MCP
Version prompts and skills deliberately, with a clear record of what changed and why
Debug real agent failures: wrong tool selection, hallucinated findings, missed clarifying questions, context exhaustion

Evaluation and Measurement

Define what "correct" means for each agent and build evaluation suites that test it
Build ground-truth datasets from real customer scenarios and measure changes against them
Catch regressions before customers do

Context and Tool Design

Engineer context strategies: what the agent sees, in what order, within what budget
Work with engineering on MCP tool surfaces: which tools exist, how they are described, and how those descriptions drive correct selection
Tune for cost and latency as well as accuracy

Safety and Trust

Guard against prompt injection, data leakage, and unsafe tool use in customer-facing agents
Ensure agents represent Pixalate's findings accurately and do not overstate confidence

What We're Looking For

Demonstrable experience building LLM agents that shipped to real users, not prototypes or demos
Hands-on work with agent skills, plugins, system prompts, or equivalent agent-behaviour tooling
Evidence of evaluation discipline: you can describe an eval suite you built, the ground truth behind it, and a regression it caught. This is the single most important qualification.
Strong written English. This role is writing, and the writing is the product.
Working proficiency in Python or TypeScript, and comfort reading the codebase your agents run in
Understanding of tool-calling / function-calling and how agents select tools
Awareness of prompt injection, PII handling, and the failure modes of customer-facing AI
Comfortable with some U.S. timezone overlap for team meetings
Ad-tech, digital advertising, or fraud-detection exposure is strongly preferred: programmatic, DSPs, SSPs, CTV, or IVT and ad fraud concepts. If you do not have it, you must be prepared to learn the domain deeply in your first 90 days, because agent quality depends on it.
Experience with MCP (Model Context Protocol) servers or similar tool-integration standards is a plus
Experience with observability and tracing for LLM systems is a plus
Experience with retrieval systems and their failure modes is a plus
Data analysis background, including SQL and working with large datasets, is a plus

About Us

Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites.

We're Seeking An AI Prompt Engineer To Help Build And Maintain The Production Agent Systems That Directly Impact Millions Of Users Worldwide. Our Software And Data Have Been Used To Unearth Multiple High Profile Criminal And Illegal Surveillance Cases Including

UNICEF: Pixalate was recently recognized by UNICEF as a Key Innovator for protecting children’s online privacy. & UNICEF Global Compliance Tech case study
Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says
Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV
Washington Post: Your kids’ apps are spying on them
Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad Empire
ABC7 News: The State of Children's Privacy Online
NBC News: How many apps are tracking your children

Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.Pixalate is an equal opportunity employer committed to building a diverse team.

Our Culture

We believe in small teams that produce high output. Slack is a way of life and short emails are encouraged. We value a fearless attitude and bold ideas. Chess players do well here. Titles don't mean much - you attain respect by producing results. Everyone's a data addict and analytical thinker who thrives on collaboration.

What We Offer

At Pixalate, you will have the opportunity to work on pioneering technologies alongside some of the brightest minds in the industry. If you're passionate about building products that protect millions of users and thrive in a fast-paced, challenging environment, you'll fit right in.

A Competitive Compensation Package
Monthly Internet Reimbursement
Casual, Remote Work Environment
Flexible Hours
Opportunity for Advancement and Professional Development
Fun Annual Team Events
Being part of a high-performing global team that wants to win and have fun doing it

Pixalate

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AI Prompt Engineer (Skills & Prompts)