Senior Software Engineer, AI

Cloaked•New York, NY

1d•$180,000 - $250,000•Hybrid

About The Position

Cloaked is a consumer privacy and identity platform on a mission to give people back control of their personal data. We let anyone generate unlimited identities - masked emails, phone numbers, and payment cards - scrub their information off data-broker sites, and shield themselves from spam, scams, and breaches, all from one app. Backed by a $375M Series B, we've protected 10M+ identities and removed 1B+ records from the data brokers who profit off personal information. Now we're building the AI-native future of privacy: autonomous agents that monitor, manage, and defend your digital footprint for you. We're looking for a Senior Software Engineer, AI to lead the development and strategic direction of Cloaked's AI Agents - autonomous agents that act on a user's behalf to monitor, manage, and enforce their privacy across their entire digital footprint. They find where your data is exposed, take action to remove it, and continuously defend your privacy in the background - turning what's always been a manual, reactive chore into something automated and continuous. 1B+ records removed to date, and now we're automating the entire fight. You'll own the technical roadmap end-to-end: agent architecture and orchestration, tool-use and integrations across third-party services, reliability and guardrails for non-deterministic systems, adversarial robustness against hostile web content, and the cloud infrastructure underneath. Long-term, this role grows beyond Agents. You'll contribute across Cloaked's engineering org and help shape how we build AI-native consumer products at scale.

Requirements

Strong software engineering fundamentals - production systems, distributed systems, real-time infrastructure
Hands-on experience building agentic or LLM-powered products in production
Proficiency with modern agent stacks: LLM orchestration and agent frameworks (LangGraph, LangChain, LlamaIndex, or similar), tool-use/function calling, and RAG
Deep familiarity with LLMs, evals, and prompt engineering in production environments
Experience building reliability and guardrails into non-deterministic systems
Proficiency in Python and/or Go, with a track record of building scalable backend systems
Experience designing and deploying secure, production-grade APIs
Strong understanding of cloud infrastructure (AWS, GCP) and containerized deployments
Track record shipping consumer products at scale
Active daily use of AI coding tools (Cursor, Claude, Codex) with strong prompt judgment and tool selection instincts

Nice To Haves

Experience with browser automation, headless automation, or web scraping at scale
Background in agent observability, eval frameworks, or LLMOps
Familiarity with adversarial ML, AI safety, prompt-injection defense, or anti-fraud system design
PII handling and sensitive data awareness
Prior exposure to consumer privacy or security-focused products
Experience with workflow orchestration and job scheduling at scale

Responsibilities

Lead the technical roadmap and architecture for Cloaked's AI agent platform
Design and build production agents that monitor, manage, and enforce users' privacy across their digital footprint autonomously
Build agents that take real action on users' behalf - submitting data-removal requests, navigating opt-out flows, and adjusting privacy settings across hundreds of services
Build defenses for adversarial environments, including prompt injection, untrusted web content, and hostile data sources
Integrate and evaluate frontier models (LLMs, agent frameworks, tool-use) for production use
Own the orchestration layer, integrations, and the cloud infrastructure the agents run on
Collaborate with design, mobile, and product teams to ship agent experiences that feel effortless to end users
Serve as the AI agents domain expert on the team, raising the engineering bar through code reviews, architecture discussions, and mentorship
Help the team ship features faster and with fewer bugs by setting the technical standard for the product
Actively leverage AI tools in day-to-day engineering work
Contribute across engineering teams beyond Agents as the business scales