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1–3 jobs· newest first

Founding Member of Technical StaffNew
a16z-speedrun · San Francisco, US
Meaningful equityOn-site · Full-time
AI Systems Design Architect, Vice President
State Street · Quincy, US
$120K–$218KExecutive
Engineer - Machine Learning
United Airlines, Inc.

+10K new in the last hour

A

Founding Member of Technical Staff

a16z-speedrun · Posted Jun 11, 2026

San Francisco, California, United States
On-site
Full-time
Meaningful equity
3+ years

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Lead technical engineering and product development for Tenera’s first member of technical staff, owning full‑stack features, architecture, and AI agent workflows.

Responsibilities

Build and own harness loop for agent evaluation
Orchestrate multiple coding agents in parallel
Ship full‑stack features across TypeScript, React, Next.js, and Postgres
Own architecture decisions for schema, performance, reliability
Build async Python workers for enrichment and compute

Requirements

Nice to have: pgvector

Skills

Next.js React TypeScript PostgreSQL Prisma Python Modal Temporal Celery git worktrees LLM infrastructure RAG prompt orchestration evaluation Tailwind pgvector Vercel Supabase PostHog Playwright GitHub Actions

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AI Systems Design Architect, Vice President

State Street · Posted Nov 6, 2026

Quincy, Massachusetts, United States
Executive
$120K–$218K per year
12–17 years

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Lead enterprise AI system architecture strategy across the full Generative AI platform stack.

Compensation

Salary Range: $120,000 - $217,500 Annual

Responsibilities

Own and drive enterprise-wide AI system architecture strategy across the full GenAI platform stack, including shared services, orchestration layers, model integration, APIs, data flows, and downstream enterprise systems.
Define and govern reference architectures, design standards, architecture principles, integration patterns, and cloud design approaches for AI platforms and AI-enabled applications.
Provide strategic technical leadership on scalable, secure, resilient, and compliant AI system design across the organization.
Lead architecture decisions for cloud and hybrid AI environments on AWS, Azure, or Google Cloud, ensuring interoperability, platform reuse, cost efficiency, and operational excellence.
Establish reusable enterprise patterns for RAG, model serving, prompt orchestration, agentic AI workflows, AI gateways, and service integration.

Requirements

Bachelor’s degree in Computer Science, Computer Information Systems, Engineering, Mathematics, or a related discipline; Master’s degree preferred.

Skills

Engineer - Machine Learning

United Airlines, Inc. · Posted Nov 6, 2026

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Generative AI Engineer to build and scale AI-native platforms and services.

Responsibilities

Design, develop, and deploy AI-native applications and services leveraging Generative AI and LLMs
Build and maintain end-to-end solutions across backend (Python), middleware, and frontend layers
Develop scalable APIs and microservices to enable AI-driven capabilities across platforms
Implement and operationalize LLM-based workflows, including prompt orchestration, RAG pipelines, and agent frameworks
Contribute to architecture design and system decomposition, ensuring scalability, resilience, and extensibility

Skills

Generative AI LLMs Python AWS Lambda ECS/EKS S3 API Gateway CI/CD MLOps Observability Telemetry Prompt orchestration RAG pipelines Agent frameworks

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vector databases

prompt orchestration

AI application integration

cloud architecture

Google Cloud Platform

cloud-native architecture

reliability engineering

platform engineering

API architecture

distributed systems

event-driven patterns

enterprise integration

Benefits

retirement savings plan (401K) with company match
insurance coverage including basic life, medical, dental, vision, long-term disability
paid-time off including vacation, sick leave, short term disability, and family care responsibilities
Employee Assistance Program
incentive compensation including eligibility for annual performance-based awards

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