Lead Engineer

Lead Engineer

AI Infrastructure / Backend Engineering USA Remote

US-based candidates onlyVisa sponsorship is not available.

We are representing an early-stage technology venture building AI-powered workflow governance and data infrastructure for a large-scale decentralized finance ecosystem. The company is creating advanced tools that help technical and operational teams manage complex knowledge systems automate governance workflows and support risk analysis through reliable data infrastructure.

This is a confidential search for a senior hands-on engineer who can operate across backend systems data pipelines AI agent infrastructure and product foundations.

The Role

This is an opportunity to join a high-impact technical team as a Lead Engineer owning the architecture and delivery of core automation systems data infrastructure and AI-augmented tools for complex decision-making workflows.

You will build backend services integrations data pipelines and interfaces that help automate governance processes improve traceability and enable analysts and AI agents to work with structured reliable information. The role is ideal for someone who enjoys 01 engineering high-ambiguity environments and end-to-end ownership.

What Youll Do

• Build and own production-grade backend systems using TypeScript and supporting languages such as Python Go Rust or Java.
• Design automation workflows that connect structured documents databases third-party systems and governance processes.
• Build reliable importers exporters validation layers change tracking and hierarchical diffing systems.
• Develop data pipelines that ingest blockchain market protocol pricing and third-party API data.
• Design schemas for chain data market data and protocol state with strong data quality and historical accuracy.
• Create data infrastructure that can be queried by AI agents for risk analysis and business intelligence.
• Build monitoring alerting validation observability and rollback paths for production systems.
• Develop foundations for advanced knowledge-work interfaces including tree explorers document review workflows preview systems and consistency checks.
• Contribute to AI agent infrastructure including tool definitions execution environments provenance tracking and guardrails.
• Help design systems for data integrity provenance permissions and temporal querying.
• Drive engineering milestones independently while communicating risks tradeoffs and progress clearly.

What Were Looking For

• 5 years of experience building production backend or server-side systems.
• Strong hands-on proficiency with TypeScript and .
• Working proficiency in at least one of Python Go Rust or Java.
• Advanced SQL skills and strong relational data modeling experience ideally with PostgreSQL.
• Experience building data pipelines that integrate with third-party APIs.
• Strong systems thinking and comfort working across backend services data infrastructure and product-facing tooling.
• Experience shipping iteratively with tests observability monitoring and clear rollback strategies.
• Ability to lead technical work in a high-ambiguity startup environment.
• Comfort operating remotely in a distributed team.
• Strong written communication and ability to coordinate across technical and non-technical stakeholders.

Nice to Have

• Experience with Notion Supabase or similar workflow/database tools.
• Experience building automation or data infrastructure for complex technical platforms.
• Exposure to blockchain DeFi governance systems risk analytics or financial infrastructure.
• Experience with AI agent infrastructure tool-use systems provenance tracking or guardrails.
• Experience with large-tree interfaces document diffing knowledge graphs spatial canvases or advanced knowledge-work tools.
• Familiarity with cryptographic proof systems Merkle trees commitment schemes event sourcing or permission systems.
• Open-source contributions in TypeScript Python Go or Rust.
• Prior 0-1 startup engineering experience.

Why This Role Is Exciting

• Own foundational systems for a technically ambitious AI and data infrastructure platform.
• Work on hard engineering problems across automation data quality AI tooling and governance workflows.
• Build systems where correctness traceability provenance and reliability genuinely matter.
• Operate with significant autonomy in a senior hands-on technical leadership role.
• Join at an early stage with the opportunity to shape architecture engineering practices and product direction.
• Work at the intersection of AI agents decentralized finance risk analytics and advanced knowledge-work interfaces.
• Build tools used for real-world decision-making in a complex high-stakes technical environment.

Work Model

• Full-time role.
• USA remote.
• US-based candidates only.
• Visa sponsorship is not available.

Apply Now!