Full-Time

Technical Lead Infrastructure

Core

Updated on 8/1/2026

Build Technologies

Build Technologies

11-50 employees

AI-native platform automating real estate development

Compensation Overview

$170k - $245k/yr

+ Equity

London, UK + 1 more

More locations: New York, NY, USA

In Person

Category
Software Engineering (1)
Required Skills
Incident Response
SOC 2
Observability

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Requirements
  • The role requires owning security oversight across the infrastructure layer, including risk assessments, tooling, and incident response readiness.
  • The role requires ensuring systems meet and maintain compliance requirements, including SOC 2 and, where applicable, PCI DSS.
  • The role requires maintaining documentation of security-relevant responsibilities across the engineering team.
  • The role requires collaborating with privacy or data protection functions on PII handling, data residency, and regulatory obligations.
Responsibilities
  • Build and operate core primitives for agent orchestration, workflow engines, state management, eventing, and execution reliability.
  • Design systems that handle partial data, human handoffs, long timelines, regulatory constraints, and silent-error prevention.
  • Make architectural decisions that determine product capability, velocity, and customer trust.
  • Own infrastructure end-to-end, including design, implementation, testing, deployment, observability, and ongoing evolution.
  • Work with product, applied artificial intelligence, and domain experts to translate abstract workflows into durable, production-grade systems.
  • Set the technical bar for robustness and clarity so other engineers can build on the resulting systems.
  • Own security oversight across the infrastructure layer, including risk assessments, tooling, and incident response readiness.
  • Ensure systems meet and maintain compliance requirements, including SOC 2 and, where applicable, PCI DSS, with audit-ready evidence.
  • Maintain current documentation of security-relevant responsibilities across the engineering team in a shared repository.
  • Act as the primary infrastructure-security contact during audits, customer due diligence, and compliance reviews.
  • Collaborate with privacy or data protection functions to incorporate PII handling, data residency, and regulatory obligations into system design.

Build Technologies provides an AI-native platform for real estate and infrastructure that automates the entire development lifecycle for institutional clients using a multi-agent system called Dougie. The platform ingests data from more than 1,600 sources and uses a hierarchy of specialized agents, guided by LangGraph, to handle tasks from site selection and due diligence to permitting, power assessment, and pre-construction design, turning weeks of work into hours. It stands out by delivering end-to-end automation with an integrated multi-agent workflow for large-scale projects, rather than isolated tools, targeting governments, developers, and investors. Its goal is to act as an AI operating partner that speeds up complex development work and to grow its engineering footprint in North America and Europe.

Company Size

11-50

Company Stage

Seed

Total Funding

$8.5M

Headquarters

San Francisco, California

Founded

2025

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Simplify Jobs

Simplify's Take

What believers are saying

  • Institutional clients need faster feasibility for data centers, energy, and industrial projects.
  • Reported deployment across 100-plus projects provides early proof points and referenceable case studies.
  • The June 2026 $8.5 million seed round supports expansion in North America and Europe.

What critics are saying

  • Human review before delivery limits autonomy and compresses margins as volume scales.
  • Stale municipal, utility, or environmental data produces wrong feasibility outputs and erodes trust.
  • One public-sector AI error can trigger cancellations, legal exposure, and lasting reputational damage.

What makes Build Technologies unique

  • Build’s Dougie automates commercial real estate workflows across site selection and due diligence.
  • The platform combines 1,600-plus data sources with hierarchical multi-agent orchestration using LangGraph.
  • Founders James Stirrat-Ellis and Ben McClusky blend architecture and multi-agent reinforcement learning.

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Benefits

Company Equity

Growth & Insights

Headcount

6 month growth

-12%

1 year growth

-12%

2 year growth

-12%