AI Infra Engineer

About the role

This role focuses on constructing and maintaining the infrastructure that transforms diverse data sources into actionable intelligence for marketing and client strategies. The engineer will be responsible for creating agentic systems that gather and process signals from social platforms, on-chain data, and advertising ecosystems. This involves designing data pipelines to ingest, enrich, and model information, ultimately building semantic layers usable by both human and AI agents.

A key part of the work includes developing multi-step AI agents to automate tasks such as research, synthesis, monitoring, and reporting. The engineer will also build full-stack applications and dashboards to make this intelligence accessible to various client accounts. Success in this position means creating robust systems that provide structured intelligence, directly supporting the firm's go-to-market efforts for its diverse clientele.

The position requires close collaboration with internal marketing, PR, content, growth, and social teams to understand their needs before development begins. Staying current with the rapidly evolving AI tooling landscape is also a continuous responsibility. This ensures the firm leverages the latest advancements to enhance its data processing and intelligence capabilities.

The annual salary for this position is between $105,000 and $175,000 USD.

Skills that matter here

• Python: Fluent Python is required for developing pipelines, agent systems, data processing, and scripting.
• REST: Experience with REST APIs is necessary for building integrations and ingesting data from external sources.
• GraphQL: Experience with GraphQL APIs is necessary for building integrations and ingesting data from external sources.
• SQL: SQL knowledge is needed for schema design within data pipelines.
• Next.js: Full-stack development experience with Next.js or an equivalent framework is required for building applications and dashboards.
• LLM API: Direct experience building with LLM APIs like Anthropic or OpenAI is essential for developing AI agents.

Who this role suits

• A software engineer who excels at building end-to-end data processing and intelligence systems.
• Someone who can effectively translate complex technical data into clear, actionable insights for non-technical stakeholders.
• An individual who is proactive in exploring and adopting new AI tools and technologies.
• A collaborative professional who enjoys working closely with marketing and client-facing teams to understand their needs.

From the employer

• Build and maintain agentic systems that continuously collect, process, and surface signals from social platforms, on-chain data, and ads ecosystems.
• Design and maintain the pipelines that power those systems: ingesting from multiple external APIs, enriching and modeling data, and building semantic layers that both humans and AI agents can actually use.
• Build multi-step AI agents that automate research, synthesis, monitoring, and reporting.
• Build full-stack applications and dashboards that make intelligence accessible across client accounts.
• Spend real time with internal teams across marketing, PR, content, growth, and social before writing a line of code.
• Stay ahead of the AI tooling landscape.

• Software Engineering (non-negotiable)
• Python, fluently: pipelines, agent systems, data processing, scripting
• Active GitHub with meaningful commit history
• REST and GraphQL API experience building integrations
• SQL: schema design
• Full-stack development: Next.js or equivalent
• LLM API usage: building directly with Anthropic or OpenAI APIs
• Experience ingesting and fusing data from multiple external sources
• Ability to translate raw signal into structured, actionable output for non-technical stakeholders
• Experience building dashboards or reporting layers others depend on operationally.

• Competitive Salary
• Health Insurance (US Only)
• 401(k) (US Only)
• Remote Work Environment
• Parental Leave