Jobs in the United States

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Added 3 mins ago
ASIC Design Verification Engineer, Google TPU
Google
Sunnyvale, CA
…designs, with a specific focus on TPU architecture and its integration within AI/ML-driven…
Added 4 mins ago
BIOLOGICAL SCIENTIST (ENVIRONMENTAL)
Air Combat Command
Luke AFB, AZ
Added 4 mins ago
Machine Perception (MP) Engineer – Level 6
Northrop Grumman
Gilbert, AZ
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our…
Added 4 mins ago
Systems Engineer - Level 5 IPT Lead
Northrop Grumman
Chandler, AZ
Northrop Grumman Space Systems has an opening for a Systems Engineer - Level 5 to join our team of qualified, diverse individuals at our Chandler, AZ site .
Added 4 mins ago
Energetics Lead Engineer Propulsion – Level 4: Active Secret Clearance
Northrop Grumman
Chandler, AZ
This role will serve as the Energetics Lead for the Advanced Weapons Systems (AWS) product line with responsibility for a broad range of ordnance, pneumatic, hydraulic, and solid rocket…
Added 4 mins ago
Sr. Principal Electrical Engineer IV
Northrop Grumman
Chandler, AZ
Northrop Grumman Space Systems is currently seeking a Lead Sr. Principal Electrical Engineer (Strike) in our Chandler AZ facility.
Added 4 mins ago
Staff Project Engineer / Onsite / Chandler AZ
Kelly Services
Chandler, AZ
A leading global telecommunications and satellite communications company is hiring a Staff Project Engineer for a full-time opportunity onsite in Chandler, Arizona. This organization…
Added 4 mins ago
Senior FPGA Engineer / Onsite / Chandler
Kelly Services
Chandler, AZ
A leading global telecommunications and satellite communications company is hiring a Senior FPGA Engineer for a full-time opportunity onsite in Chandler, Arizona. This organization develops…
Added 4 mins ago
Senior Hardware Engineer / Onsite / Chandler
Kelly Services
Chandler, AZ
A global leader in telecommunications and satellite communications technology is seeking a Staff Hardware Engineer for a full-time position onsite in Chandler, Arizona. This company…
Added 4 mins ago
Software Engineer 1 – Finance Technology
Choice Hotels
Scottsdale, AZ
Drive seamless integration between ERP systems and financial applications to support billing cycles and reporting.
Added 4 mins ago
R
2027 Summer Intern - Systems Engineer - Instrument Development
Roche
Tucson, AZ
- $25 to $46 USD / hour
Multiple aspects of Design Control relating to Engineering, Requirements, Risk Management, Detailed Design, Simulations, Prototyping, Integration, Testing and Release.
Added 4 mins ago
Senior Frontend Engineer - Hashicorp Vault
IBM
TUCSON, AZ
Work with highly technical backend systems and implement interfaces that make advanced functionality understandable and accessible to a broad range of users
Added 4 mins ago
Cyber - AI Engineer - Manager - Consulting
EY
Phoenix, AZ · Tucson, AZ
As a Cyber AI Engineer at the Manager level in EY's Cyber practice, you will work as a forward-deployed engineer, helping clients apply frontier AI cyber models to real security challenges.…
Added 4 mins ago
RESEARCH DATA ANALYST
State of Arizona
PHOENIX, AZ
RILN Intelligence Infrastructure and Dashboard Data Integration: Engineer and maintain back-end database architectures, data dictionaries, and automated output tables that power…
Added 5 mins ago
Platform Infrastructure Engineer
Maximus
Phoenix, AZ
Maximus is seeking a highly skilled individual to join our team as a Platform Infrastructure Engineer. You will be responsible for the deployment and maintenance of several platforms…
Added 5 mins ago
Advanced Systems Engineer
Honeywell Aerospace
Phoenix, AZ
As an Advanced Systems Engineer within Honeywell Aerospace, you will play a vital role in the design, development and implementation of cutting-edge Flight Display Systems and Avionics…
Added 5 mins ago
Software Engineer II
Amentum
Phoenix, AZ
The Software Engineer II will perform full stack development with C# program, ReactJS, MVC, Linq, and rest API development in NET Core platform. This position is US remote teleworking…
Added 5 mins ago
Sr Advanced Systems Engineer
Honeywell Aerospace
Phoenix, AZ
As an Advanced Systems Engineer within Honeywell Aerospace, you will play a vital role in the design, development and implementation of cutting-edge Flight Display Systems and Avionics…
Added 5 mins ago
Java Software Engineer - Mid Level
USAA
Phoenix, AZ
As a dedicated Java Software Engineer - Mid Level, you will join a dynamic, startup-minded team within the Investment Experience Technology organization at USAA, part of the Technology…
Added 5 mins ago
Sr Advanced Systems Engineer
Honeywell Aerospace
Phoenix, AZ
As an Advanced Systems Engineer within Honeywell Aerospace, you will play a vital role in the design, development and implementation of cutting-edge Flight Display Systems and Avionics…
Added 5 mins ago
Senior Test Engineer
Kelly Services
Phoenix, AZ
A growing communications technology organization is seeking a Senior Test Engineer to join its team in the Phoenix-area on a full-time basis. This onsite role focuses on testing and…
Added 5 mins ago
Senior Technical Writer - SATCOM Modems
Comtech Telecom
Chandler, AZ
Engineer-Level Collaboration: Partner closely with systems architects, hardware engineers, software developers, product managers, and test teams to gather highly technical product data,…
Added 34 mins ago
B
Sales Engineer
BRINC
Seattle, WA
- $134,550 to $164,450 USD / year
We are seeking a highly technical and customer-facing Sales/Solutions Engineer with deep expertise in hardware and software. This role will be a critical technical resource for our sales…
Added 35 mins ago
Senior Controls Engineer
Churchill Technologies
Grand Haven, MI
The Senior Controls Engineer is responsible for the design, development, programming, and commissioning of control systems for automated machinery and industrial processes. This role…
Added 35 mins ago
Full-Stack Mobile Software Engineer
Spirit AI
Alexandria, VA · Arlington, VA · Fairfax, VA · Tysons, VA · Washington, DC
🌟 Full-Stack Mobile Engineer (iOS & Android)

Harper

AI Platform Engineer

San Francisco, CA, United States

$140,000 to $230,000 USD / year

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Job details

Pay: $140,000 to $230,000 USD / year
Posting language: English

Original job description

The Mission We're building an AI-powered insurance brokerage that's transforming the $900 billion commercial insurance market by automating processes that currently run on pre-internet systems. Fresh off our $8M seed round, we're looking for an exceptional AI Platform Engineer who can architect and develop the core infrastructure that powers our entire AI ecosystem. You'll build the foundational platform that enables our AI agents to operate across growth, sales, operations, and customer service. This includes extending our proprietary AI Grid context engineering system, developing evaluation infrastructure, building ML models for market-making and reasoning, and creating the systems that enable massive operational leverage (enabling one person to do the work of thousands). You'll be responsible for both ambient agents (background processes with context/memory) and the core systems that enable frontier agents (human-AI interfaces) to deliver exceptional experiences. We're committed to "Staying REAL" with our AI systems - building agents that are Reliable, Experience-focused, Accurate, and have Low latency. You will work directly with the CEO and CTO to execute on our AI vision with a bias toward action. We live by core principles: "There is no try, there is just do," "Actions lead to information, always default to action," and "Strong opinions lead to information." We need engineers who build and ship, not just plan and strategize. Outcomes You'll Drive

Extend and enhance our proprietary AI Grid context engineering system that combines ETL with LLM pipelines and graphs
Build robust evaluation systems with datasets and human-annotated data for supervised fine-tuning (SFT) and reinforcement learning (RL)
Develop ML models for critical systems including underwriter load balancing (our market-making engine) and reasoning systems
Architect and maintain data pipelines that pull from multiple diverse sources and push to various destination systems (ClickHouse, vector databases, ML platforms, etc.)
Build MCP (Model Context Protocol) servers that expose memory and tools to AI agents across the platform
Create integrations with payment providers and financial systems for seamless transaction processing
Develop growth engineering infrastructure including agents that determine campaign strategies and optimize outreach
Build voice AI systems for follow-ups, information collection, and cold outbound campaigns
Create customer service AI infrastructure enabling one person to manage thousands of leads and customers
Design ETL/ELT pipelines that handle both batch and real-time processing at scale
Implement Lambda architecture patterns combining event streaming with batch processing
Partner with forward deployed engineers to ensure platform capabilities meet business needs
Build comprehensive observability systems to monitor agent reliability and performance

You're Our Person If

You're exceptional at one or more of: distributed systems, AI agents, context engineering, or data engineering
You have experience building evaluation systems and working with human-annotated datasets for ML training
You understand how to build ML models for complex systems like market-making and reasoning engines
You have deep expertise with modern data warehouse and ML platforms (Databricks, Astronomer, or similar)
You can architect MCP servers and understand how to expose memory and tools to AI systems
You have experience with payment provider integrations and financial systems
You understand how to build voice AI infrastructure for outbound campaigns and information collection
You can architect systems that enable massive operational leverage (1:1000s ratios)
You have experience with data enrichment and building DAG-based orchestration systems
You understand CAP theorem tradeoffs and can make appropriate architectural decisions
You're equally comfortable with TypeScript/Node.js and Python/ML frameworks
You ship features daily and take immediate action instead of overthinking
You embrace "there is no try, there is just do" as your engineering mantra

Hard Requirements

Strong experience with both TypeScript/Node.js and Python
Deep understanding of distributed systems principles, CAP theorem tradeoffs, and event sourcing architecture
Experience with modern data warehouse solutions (Databricks, Astronomer, Snowflake, or similar)
Proven track record building ML modeling infrastructure and ETL/ELT pipelines
Experience with evaluation systems and human-annotated datasets for ML training
Experience building ML models for complex systems (recommendation engines, market-making, reasoning)
Experience with MCP server architecture and protocol implementation
Experience with voice AI systems and conversational interfaces
Experience with payment provider integrations and financial systems
Experience designing data pipelines that serve multiple destination systems
Experience with temporal.io workflows or similar durable execution frameworks
Experience with data enrichment and DAG-based orchestration
Proven track record building production AI/ML systems at scale
Experience with vector databases (Qdrant, Pinecone, Weaviate) and RAG systems
Strong understanding of context engineering for AI systems
Advanced usage of Cursor or WindSurf coding IDE
Must be based in San Francisco and work in-office 5.5 days per week (relocation assistance provided)

Our Tech Stack

AI Agent Infrastructure:

AI Grid - our proprietary context engineering system combining ETL with LLM pipelines and graphs
Temporal.io for durable workflow orchestration across agent systems
Pydantic-AI for type-safe agent development with structured validation
MCP servers for exposing memory and tools to AI agents
Evaluation systems with human-annotated datasets for SFT and RL
Event sourcing architecture with Redis streams and PostgreSQL
Lambda architecture combining real-time event streams and batch processing
RAG systems with rigorous evaluation frameworks
Claude (Anthropic), GPT-4 (OpenAI), and select open source models
Voice AI infrastructure for campaigns and customer interactions
Logfire for comprehensive agent observability

Data & ML Infrastructure:

Modern data warehouse solutions (Databricks/Astronomer) for ML modeling and ETL
ML models for underwriter load balancing (market-making) and reasoning systems
Evaluation infrastructure with human-annotated datasets for SFT/RL
Multiple destination systems including ClickHouse for analytics
Apache Airflow, Temporal, Airbyte, and N8N for pipeline orchestration
Vector databases for AI context storage and retrieval
Custom data enrichment pipelines for growth engineering
Payment provider integrations for transaction processing
PostHog for product analytics and event tracking
Redis streams and PostgreSQL for operational data

Core Engineering:

TypeScript/Node.js for robust application development
Python for AI systems and ML workflows
Next.js/React for frontend experiences
Event-driven architecture with distributed systems design

What You'll Build in Your First 90 Days

First Month:

Extend and enhance our AI Grid context engineering system with new capabilities
Build initial evaluation datasets and implement human annotation workflows
Set up MCP servers for memory and tool exposure across AI agents
Create voice AI infrastructure for outbound campaigns and information collection
Design ML models for underwriter load balancing and reasoning systems
Establish comprehensive observability and monitoring systems

Second Month:

Develop sophisticated data enrichment pipelines for growth engineering
Build agents that determine and optimize campaign strategies
Implement payment provider integrations for seamless transactions
Expand evaluation systems with automated dataset generation
Create customer service AI infrastructure for 1:1000s operational leverage
Implement advanced orchestration patterns for complex workflows

Third Month:

Scale AI Grid to handle increasing complexity and volume
Optimize ML models for market-making and reasoning performance
Build comprehensive growth engineering platform with campaign automation
Implement advanced voice AI features for cold outbound and follow-ups
Fine-tune models using human-annotated datasets (SFT/RL)
Integrate all systems into a unified, observable platform architecture

Our AI Philosophy

Context is King: The quality of AI decisions directly correlates with the richness of available context through AI Grid
10x Platform Impact: Build infrastructure that enables forward deployed engineers to create 10x business leverage
Evaluation-Driven Development: Use human-annotated data and rigorous evaluation to continuously improve
Multi-System Integration: Design for multiple sources and destinations from day one
Event-Driven Architecture: React to events and state changes for maximum responsiveness
Distributed & Durable: Create fault-tolerant systems that maintain state and recover from failures
Business-Enabling Infrastructure: Every platform capability should unlock new business opportunities
Action Orientation: Always default to action - ship code, gather data, and iterate
Execution Focus: There is no try, there is just do - we value engineers who build and ship

Join Us To Transform the $900B Insurance Market This is an early-stage role at a fast-moving startup, and you'll often experience the crawl-walk-run approach to building. You'll quickly prototype systems and then push them into productionized platforms that can scale. We're looking for people who can be creative in providing impact first, then take learnings from that impact and push them back into the system. You should ideally have worked in an early-stage startup environment and understand the pacing. This is a fast-paced environment where we value ownership and quick, rapid feedback loops within the team. You'll work directly with the CEO and CTO to execute on our AI vision with a bias toward action. We require you to be in San Francisco and work from our office 5.5 days per week. We'll cover relocation costs and believe the best teams collaborate intensively in person. Skills TypeScript, Node.js, Python, Distributed Systems, Context Engineering, AI Grid, Data Engineering, Databricks, Astronomer, ETL/ELT, ML Infrastructure, Data Enrichment, DAG Orchestration, Temporal.io, Pydantic-AI, MCP Servers, Evaluation Systems, SFT/RL, Voice AI, Payment Integration, Event Sourcing, CAP Theorem, Lambda Architecture, Apache Airflow, Vector Databases, RAG Systems, Redis Streams, PostgreSQL, AI Agent Development, System Architecture, Market-Making Systems, Reasoning Engines

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