Artificial Intelligence Engineer/ AI Engineer

Who are we

We are a smart governance company empowering central and local government decision-makers through dynamic technology solutions that strengthen public administration. We work on large-scale smart governance and digital transformation projects, helping governments improve efficiency, transparency, and service delivery through seamless and cost-effective technology solutions.

To know more about us: www.pixelvide.com

What You'll Work On

We are building an in-house AI coding platform for a large legacy government finance codebase. The platform uses multi-agent workflows, MCP tools, context engineering, automated guardrails, browser verification, and LLM observability to plan, develop, test, and validate software changes.

As an AI Engineer, you will help make the coding agent more accurate, reliable, and production-ready, continuously improving it through engineering, evaluation, and real-world feedback.

Key Responsibilities:

• Design and improve AI agent loops, tools, prompts, and workflows.
• Build MCP integrations for browser, development, and database tools.
• Develop guardrails, validators, linters, and safe execution policies.
• Improve context management, compaction, checkpoints, and agent reliability.
• Optimize Anthropic/OpenAI model routing for quality, cost, and latency.
• Debug agent failures using Langfuse traces and production data.
• Build golden datasets, automated tests, and evaluation pipelines.
• Ship backend, frontend, and AI platform features end to end.

Must Have

• 2+ years in LLM/AI agents.
• Strong TypeScript / Node.js and experience with Angular, React, or Vue.
• Production experience with LLM-powered applications.
• Hands-on experience with OpenAI/Anthropic APIs, tool calling, structured outputs, and streaming.
• Experience with agent debugging, prompt/context engineering, testing, and evaluation.
• Strong SQL, Git, API, and software engineering fundamentals.

Good to Have

• MCP, Langfuse, OpenTelemetry, LangGraph, or Playwright.
• Claude Code, Cursor, or similar AI coding tools.
• Docker, CI/CD, Linux, Kubernetes, or cloud experience.
• Laravel/PHP or AngularJS experience.
• Open-source AI projects or technical portfolio.

Our Tech Stack

Node.js, TypeScript, Angular, Express, Vercel AI SDK, Anthropic, OpenAI, MCP, Playwright, PostgreSQL, Langfuse, OpenTelemetry, Docker.

The role, in one sentence

Make the coding agent reliably produce correct code, and build the measurement that proves it.