Remote Position
AI Agent Engineer (Skills & Prompts)
🌍 Remote · United States
💼 Full-time
AI Agent Engineer (Skills & Prompts)
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 Agent 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Production LLM agent experience, agent skills or system prompts, evaluation-suite discipline, strong written English, Python or TypeScript, tool calling, AI safety, and customer-facing failure-mode awareness.
Key Responsibilities
- authoring skills
- versioning prompts
- building evaluations
Skills & Tools
Claude, Python, TypeScript, MCP, Model Context Protocol (MCP), SQL, Slack
Job Details
- Category: Software Development
- Seniority: Mid Level
- Commitment: Full Time
- Workplace: Remote — Lahore or Pakistan or California or New York City or Washington or London or Singapore
- Languages: English
About Pixalate, Inc.
An online trust and safety platform protecting businesses, consumers, and children from deceptive, fraudulent, and non-compliant digital content. — Industry: Information Technology