Jobs in the United States

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Added 1 min ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
…enterprise customers. You will lead technical deployments from data discovery through production workflows, turning customer data and business knowledge into reliable systems that support…
Added 2 mins ago
F-15 Mission Systems Software Engineer (Associate, Experienced, & Senior)
The Boeing Company
Berkeley, MO
The Boeing Company is looking for a Software Engineer (Associate, Experienced, & Senior) to join the F-15 Mission System Software Development Team located in Berkeley, MO. This position…
Added 7 mins ago
NIKE, Inc. AI & Machine Learning, Innovation Graduate Internship
Nike
Beaverton, OR
In the role of an AI/ML Engineer Intern, you will apply your AI/ML expertise to help teams explore, evaluate, and improve product concepts faster. You will build intelligent models,…
Added 9 mins ago
O
Principal Backend Developer - Clinical Applications
Oracle
Jefferson City, MO
- $114,600 to $234,600 USD / year
…platform. We are seeking a highly skilled Principal Software Engineer to join our Clinical Applications Engineering team focused on modernizing provider workflows, inbox management, and…
Added 15 mins ago
J
Vice President, Cloud Platform Engineer
Jobgether
Remote, United States
- $150,000 to $175,000 USD / year
…Our partner is looking for a Vice President, Cloud Platform Engineer based in the United…
Added 15 mins ago
Senior Staff Software Engineer, Android & IoT
Jobgether
Remote, United States
…next steps. Our partner is looking for a Senior Staff Software Engineer, Android & IoT based in the United…
Added 15 mins ago
Integration System Engineer IV
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Integration System Engineer IV based in the United States.
Added 15 mins ago
J
Field Implementation Engineer
Jobgether
Remote, United States
- $95,500 to $149,200 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Field Implementation Engineer based in the United States.
Added 15 mins ago
EP
Supervisory Life Scientist/Environmental Engineer/Physical Scientist (NEPA Section Manager)
Environmental Protection Agency
Anchorage, AK · Seattle, WA · Lacey, WA · Boise, ID · Portland, OR
- $125,776 to $184,886 USD / year
Environmental Engineer: You must have one of the following:
Added 15 mins ago
DA
Supervisory IT Specialist
Deputy Assistant Secretary for Information and Technology
Location Negotiable After Selection
- $147,945 to $192,331 USD / year
Responsible for key strategic functions including product policy and procedures; data management, reporting, and validation; and operating budget formulation and execution.
Added 15 mins ago
VH
Supervisory Healthcare Engineer (Detail/Temporary Promotion NTE 120 Days)
Veterans Health Administration
Tuskegee, AL
- $140,025 to $182,034 USD / year
Develops technical data regarding materials, sizes, dimensions, quantities, and costs to be incorporated in formal specifications.
Added 15 mins ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Orchestrate across engineering, data center operations, networking, support, and sales
Added 16 mins ago
G
Structural Engineer
GPAC
Chicago, IL
- $90,000 to $120,000 USD / year
We are seeking a talented and motivated Structural Engineer to join our growing team at our established, hard-working, and growing engineering firm. This individual will perform on site…
Added 16 mins ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Orchestrate across engineering, data center operations, networking, support, and sales
Added 18 mins ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Orchestrate across engineering, data center operations, networking, support, and sales
Added 18 mins ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Orchestrate across engineering, data center operations, networking, support, and sales
Added 18 mins ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Orchestrate across engineering, data center operations, networking, support, and sales
Added 18 mins ago
NR
Direct Hire Public Notice - Structural Engineer
Nuclear Regulatory Commission
Rockville, MD
- $121,785 to $158,322 USD / year
2.) Determining the adequacy of information contained in applications and ascertains if the data is in conformity with the regulations of the Commission. If necessary, communicates with the…
Added 18 mins ago
MD
Interdisciplinary General Engineer/Operations Research Analyst
Missile Defense Agency
Redstone Arsenal, AL · Colorado Springs, CO
- $129,096 to $197,200 USD / year
As a Interdisciplinary General Engineer/Operations Research Analyst at the NH-0801/1515-4 broadband level, some of your typical work assignments may include:
Added 18 mins ago
BO
General Engineer - Banknote Development, Quality, and Manufacturing
Bureau of Engraving and Printing
Washington, DC · Fort Worth, TX
- $81,186 to $111,087 USD / year
…the Deputy Director - Chief Operating Officer. As a General Engineer - Banknote Development, Quality, and Manufacturing, you will apply mechanical, electrical, industrial engineering or…
Added 18 mins ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Orchestrate across engineering, data center operations, networking, support, and sales
Added 20 mins ago
O
Strategic OCI & AI Infrastructure Lead
Oracle
Jefferson City, MO
- $102,300 to $209,500 USD / year
+ Orchestrate across engineering, data center operations, networking, support, and sales
Added 20 mins ago
O
Senior Principal Oracle Health Systems Engineer - HIE
Oracle
Jefferson City, MO
- $103,000 to $264,100 USD / year
Seeking a highly experienced Senior Principal Systems Engineer to provide technical leadership in the design, operation, maintenance, optimization, and strategic evolution of Health…
Added 23 mins ago
VH
Industrial Engineer
Veterans Health Administration
Location Negotiable After Selection
- $106,437 to $172,980 USD / year
The Industrial Engineer is a member of the Strength Analysis team, Workforce Strategy and Standardization (WSS), within Workforce Solutions, within the Office of Workforce Management and…
Added 23 mins ago
EE
IT Specialist (Systems Analysis/Applications Software)
Equal Employment Opportunity Commission
Washington, DC
- $143,913 to $187,093 USD / year
…selected, you will serve as the Senior Applications Platform Engineer, in support of the agency's ARC application…

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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