Jobs in the United States

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Added 3 mins ago
M
Vehicle Integration Engineer
ManpowerGroup
Auburn Hills, MI
- $30 to $35 USD / hour
Our client is seeking a Vehicle Integration Engineer to join their team. As a Vehicle Integration Engineer, you will play a pivotal role in ensuring flawless integration of driveline…
Added 3 mins ago
M
Automotive Validation Engineer
ManpowerGroup
Auburn Hills, MI
- $33 to $35 USD / hour
Our client is seeking an Automotive Validation Engineer to join their team. As an Automotive Validation Engineer, you will be part of the validation engineering effort supporting…
Added 3 mins ago
Quality - Quality Engineer
HTC Global Services Inc
Warren, MI
We are seeking an Interior Plastics Release Engineer to support interior vehicle component engineering, packaging, integration, and release activities. This role involves translating…
Added 3 mins ago
Senior Software Engineer – Full Stack (Python, React, GCP)
HTC Global Services Inc
Dearborn, MI
Senior Software Engineer – Full Stack (Python, React, GCP) Overview / Summary
Added 3 mins ago
Application Engineer A
NSK Corporation
Ann Arbor, MI
Application Engineer A for Ann Arbor, MI to lead the selection, application, use & performance of precision bearing and linear motion products; determine customer service requirements &…
Added 3 mins ago
Cyber - AI Engineer - Manager - Consulting
EY
Lansing, MI · Detroit, MI · Southfield, MI · Grand Rapids, MI
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 3 mins ago
Software Engineer II
Amentum
Lansing, MI
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 4 mins ago
Software Engineer
Teradata
Lansing, MI
This position is for a Software Engineer in the POD Services team within the TD Factory team. The position involves development, integration, functional and performance testing, and fault…
Added 4 mins ago
Senior Network Engineer
Cognizant
Lansing, MI
Cognizant is seeking a Senior Network Engineer to design, implement, secure, operate, and optimize enterprise datacenter, campus, branch, wireless, and hybrid-cloud networks. This role…
Added 4 mins ago
AI Automation Architect - Manufacturing and MES processes- Remote
Cognizant
Lansing, MI
…fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products…
Added 4 mins ago
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Quality Assurance Engineer - PHP
Eliassen Group
Lansing, MI
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 4 mins ago
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Framework Operations Engineer
SciTec
Boulder, CO
- $132,000 to $157,000 USD / year
SciTec has an immediate opportunity for a Framework Operations Engineer. The Framework Operations Engineer is responsible for the deployment, operation, maintenance, and continuous…
Added 7 mins ago
Design Automation Engineer
NVIDIA Corporation
North District, IL
Our System Design Automation team is looking for an experienced Software Engineer with a passion for UX/UI and AI integration to join our engineering group. We are seeking a versatile…
Added 25 mins ago
J
Security Alarm Engineer
Phoenix · Phoenix, AZ
- $40 to $50 USD / hour
Engineer, program, configure, test, and commission enterprise access control and video surveillance systems, including LenelS2 OnGuard, Genetec Security Center and Synergis, and Software…
Added 27 mins ago
DRAM Process Integration Engineer
Micron Technology, Inc.
Boise, ID
As a Process Integration Engineer, you will help define the future of memory technology by identifying novel solutions to scaling, performance, and power challenges in advanced…
Added 28 mins ago
IT Software Engineer IV
Idaho Division of Human Resources
Boise, ID
Troubleshoot and resolve highly complex application, integration, and production issues impacting critical business operations.
Added 28 mins ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Boise, ID
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 28 mins ago
Senior Systems Engineer
Anduril Industries
Costa Mesa, CA
…re-inventing an existing platform through heavy modification and integration of advanced autonomy, mission systems, and…
Added 37 mins ago
SS
Space Launch Engineer, SSC/SYD 80
Space Systems Command
Kirtland AFB, NM
- $90,479 to $139,871 USD / year
The United States Space Force (USSF) at Kirtland AFB, Albuquerque, NM L is searching for a Space Launch Engineer to support SSC/SYD 80 (NH-0801-03, GS-12/13 Equivalent).
Added 48 mins ago
SS
Senior Engineer, SSC/SW
Space Systems Command
Chantilly, VA
- $142,488 to $195,200 USD / year
The United States Space Force (USSF) in Chantilly, VA is searching for a Senior Engineer to support SSC/SW (NH-0801-04, GS-14/15 Equivalent).
Added 51 mins ago
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ENGINEER/SCIENTIST
Naval Sea Systems Command
Crane, IN
- $125,776 to $192,331 USD / year
You will serve as an Engineer or Scientist in the Radar Sustainment and Antenna Test Br. (LXLT), Radar Technologies Div. (LXL), Sensor Integration and Technology Dept. (LX) of NAVAL SURFACE…
Added 55 mins ago
EG
Quality Assurance Engineer - PHP
Eliassen Group
Juneau, AK
- $40 to $50 USD / hour
Our client seeks a results-driven Senior Quality Assurance Engineer to support Policyholder Portal applications. The role requires manual, automation, mobile, API, and database testing…
Added 56 mins ago
FT
Associate Software Engineer - Full Stack Developer
Franklin Templeton
Baltimore, MD
- $100,400 to $118,200 USD / year
The Enterprise Data, Governance & Integration Platforms Engineering team builds and manages foundational data, API, integration, and application platforms that enable scalable, secure, and…
Added 1 hour ago
FA
General Engineer - NIPM
Federal Aviation Administration
Lenexa, KS
- $113,603 to $176,120 USD / year
…government, and the Department of Defense for the implementation and integration of NAS projects and…
Added 1 hour ago
Field System Technician
Bechtel Corporation
Millersport, OH
Assist the EPC Automation Lead in coordinating with the Project Field Engineer, project IS&T Lead, and other automation leads (procurement and project controls, commissioning, etc.), as…

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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