Member of Technical Staff

Generative Group; New York (NY); On-site; USD 200,000 - 400,000; Full time

Benefits offered by this job

Full health coverage

Dental and vision coverage

Premium primary-care membership

Daily lunch and gym membership

Job summary

Generative Group is hiring a founding-level Platform Engineer in New York to build the company’s core AI infrastructure, data pipelines, and agent orchestration that power experimental AI agents in production.

You will work directly with the CTO on architecture decisions, aiming for scalable, observable, and auditable systems with modern DevOps practices and strong governance.

Qualifications

• Strong background in distributed systems and backend infrastructure.
• Hands-on experience with data-heavy production systems (pipelines, streaming, warehouses).
• Working knowledge of AI/ML infrastructure, including LLM systems and agent frameworks.

Responsibilities

• Own the core platform (compute, storage, APIs, pipelines), with long-lasting architectural impact.
• Build orchestration, observability and governance tooling for dependable AI agents in production.
• Design scalable data pipelines prioritizing correctness and auditability.
• Implement monitoring, alerting and incident-response practices.
• Define the engineering quality bar and steer key technical decisions.

Skills

Distributed systems

Backend infrastructure

Data engineering

AI/ML infrastructure

AWS/GCP

Job description

Member of Technical Staff – Founding Platform Engineer

Early-stage AI infrastructure startup

Location: New York (on-site)

Salary: $250K–$400K+ (senior) / $200K–$300K (junior)

Equity: Meaningful early-stage equity

Benefits: Full health, dental and vision cover, premium primary-care membership, daily lunch and gym membership

About the company

AI agents are now capable of carrying out significant work on their own for long stretches, but most organisations don't yet have the tooling to trust them with it. Our client is building that missing layer: controlled delegation, real-time oversight, and a single shared record of what agents learn and do.

The founding team previously built and ran an autonomous trading business deploying large numbers of probabilistic models on live capital, so operating autonomous systems under real stakes is familiar ground. The wider team brings experience from AI research labs, quantitative finance, big tech and prior startups.

The role

This is a founding-level platform engineering hire working directly with the CTO on the company's core infrastructure. You'll build the data pipelines, agent orchestration, APIs and reliability foundations the whole product depends on.

The ideal candidate is commercially aware and product-minded, ideally from a leading AI lab or quant firm where production standards are exceptionally high, and is excited to build from a blank slate.

What you'll do

• Own the core platform (compute, storage, APIs, pipelines), making early architectural calls with long-lasting impact

• Build orchestration, observability and governance tooling so AI agents can run dependably in production

• Design scalable data pipelines where correctness and auditability are non-negotiable

• Put in place monitoring, alerting and incident-response practices

• Define the engineering quality bar and steer key technical decisions

What we’re looking for

• Strong background in distributed systems, backend infrastructure or data engineering

• Hands-on experience running data-heavy production systems (pipelines, streaming, warehouses, orchestration, model serving)

• Working knowledge of AI/ML infrastructure, including LLM systems and agent frameworks

• Comfortable with AWS/GCP, modern DevOps and large-scale enterprise integrations

• Experience at an AI lab, top quant firm or high-rigour infrastructure team is a big plus

• Sound judgement on build vs buy, and on when to keep things simple