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Rotating Reliability Engineer
Ashland Specialty Ingredients, GP
HOPEWELL, VA
…Ashland has an exciting opportunity for a Rotating Reliability Engineer to join our Ashland LLC, Specialty Ingredients business at our Hopewell, VA site. This is a very visible, significant…
Added 2 mins ago
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Professional Engineer 1 (Environmental) - NY HELPS
Environmental Conservation, Department of
Albany, NY
- $102,406 to $127,439 USD / year
…Source Control and Technology Section Chief, the Professional Engineer 1 (Environmental) will support the implementation of the Division of Air Resource’s Operating Permit Program…
Added 2 mins ago
Electrical / Automation / Controls Engineer
Frank Calandra Jennmar Services
Huger, SC
We are seeking a highly capable and hands-on Electrical / Automation / Controls Engineer to support and optimize electrical systems and automation controls across four industrial…
Added 2 mins ago
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Project Engineer II, Automation
Default (MSD)
Gaithersburg, MD
- $78,100 to $116,200 USD / year
Work within established quality systems to release electromechanical designs into design control.
Added 3 mins ago
Electrical / Automation / Controls Engineer
Frank Calandra Jennmar Services
Huger, SC
We are seeking a highly capable and hands-on Electrical / Automation / Controls Engineer to support and optimize electrical systems and automation controls across four industrial…
Added 3 mins ago
Production Supervisor - 2nd shift
Clopay
Troy, OH
We don't just manufacture doors; we engineer the "front door" of the American dream and the security of global commerce. At Clopay, we believe our strength lies in our people. From our…
Added 3 mins ago
Production Supervisor - 3rd shift
Clopay
Troy, OH
We don't just manufacture doors; we engineer the "front door" of the American dream and the security of global commerce. At Clopay, we believe our strength lies in our people. From our…
Added 4 mins ago
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Manufacturing Quality Engineer
Apple
Cupertino, CA
- $163,500 to $246,200 USD / year
…the Module. Use statistical tools like JMP, regression and design of experiments to optimize manufacturing processes and implement statistical quality control. Perform failure analysis of…
Added 4 mins ago
CPU Implementation Engineer
Apple
Cupertino, CA
…processing unit (CPU) development. Perform top-level physical design, integration, and physical verification of Apple CPUs. Responsible for full chip floorplan, area optimizations, block…
Added 4 mins ago
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Formal Validation Engineer
Apple
Cupertino, CA
- $207,673 to $277,600 USD / year
…on the complete formal verification for single or multiple design blocks and IP’s (CPU, Cellular and Connectivity IP, Audio and Image Processing IP, Neural Networks IP, Memory/DMA…
Added 4 mins ago
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Systems Design Engineer
Apple
San Diego, CA
- $137,500 to $207,100 USD / year
…teams to get the bugs resolved in timely manner. Participate in design reviews and technical meetings to gather information for forthcoming validation activities and to provide key…
Added 4 mins ago
FE Engineer
Apple
Austin, TX
…closely with Architecture to understand performance goals of the design. Correlate RTL performance against model performance. Perform deep performance analysis in the design and report…
Added 4 mins ago
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CPU Design Verification Engineer
Apple
Cupertino, CA
- $174,149 to $194,700 USD / year
…designers on verifying the functionality correctness of the design. Develop and lead testing plan and test environment. Develop complex tests in assembly, C, or vectors according to test…
Added 4 mins ago
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Physical Design Engineer
Apple
Cupertino, CA
- $174,149 to $225,300 USD / year
…unanticipated locations throughout the USA. Work with logic design team to understand partition architecture and drive physical aspects early in design cycle; Complete netlist to GDS2…
Added 4 mins ago
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Physical Design Engineer
Apple
Cupertino, CA
- $174,149 to $225,300 USD / year
…unanticipated locations throughout the USA. Work with logic design team to understand partition architecture and drive physical aspects early in design cycle; Complete netlist to GDS2…
Added 4 mins ago
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Power Engineer
Apple
Cupertino, CA
- $174,149 to $225,300 USD / year
Applying logic design principles including timing and power implications.
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Design for Test Engineer
Apple
Cupertino, CA
- $174,149 to $225,300 USD / year
…unanticipated locations throughout the USA. Review Architecture and Design Specifications. Extract design features and develop attributes and verification plans. Work with designers to…
Added 4 mins ago
Physical Design Engineer
Apple
Beaverton, OR
APPLE INC has the following available in Beaverton, Oregon. Physical Design implementation of partitions and develop/test place and route flows. Implement physical design of partitions and…
Added 4 mins ago
System Product Design Engineer
Apple
Cupertino, CA
…define engineering requirements and manage the resolution of design challenges associated with integrating key technologies into the iPhone. Design, engineer and validate concepts, parts…
Added 4 mins ago
System Product Design Engineer
Apple
Austin, TX
…engineers across many disciplines in the company. Collaborate with design, marketing, software, and technology partners to invent new product forms and features. Analyze static and dynamic…
Added 4 mins ago
Physical Design Engineer
Apple
Cupertino, CA
…throughout the USA. Contribute to all phases of the physical design of high-performance PHY design from RTL to delivery of final GDSII. Generate block/chip level static timing constraints.…
Added 4 mins ago
System Product Design Engineer
Apple
Cupertino, CA
…unanticipated locations throughout the USA. Lead the end-to-end design and engineering integration of a complex sub-system within the iPhone, which typically involves multiple…
Added 4 mins ago
RF/Analog/Mixed Signal Engineer
Apple
Austin, TX
…high-speed, low-power communication. Transistor-Level Circuit Design: Designing complex analog and mixed-signal circuits at the transistor level, ensuring precision in meeting power,…
Added 4 mins ago
Astronomical Instrument Engineer
The Charles Stark Draper Laboratory, Inc.
Cambridge, MA
Draper is conducting a nationwide search for a scientist/engineer with a background in astronomy, optical engineering, optomechanics, or astrophysics and hands-on technical experience with…
Added 4 mins ago
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FE Engineer
Apple
San Diego, CA
- $156,956 to $214,300 USD / year
APPLE INC has the following available in San Diego, California. Microarchitecture definition. RTL design in SystemVerilog/Verilog. IP integration and verification. RTL low-power design and…

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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