Jobs in the United States

25+ jobs

Save this search

Added just now
Nurse Professional Development Coordinator - Med/Surg - Memorial Regional Medical Center
Bon Secours Mercy Health
Mechanicsville, VA
Understands principles for learning design and integrates learning technology to ensure effective learning experiences, competency assessment and validation and reflect practice changes,…
Added just now
Registered Nurse (RN) Robotics Service Line Coordinator - Operating Room (OR) - St. Mary's Hospital
Bon Secours Mercy Health
Richmond, VA
…their service line. Reviews individual, unit and specialty data for all dimensions of performance and applies this data to continually improve patient care…
Added just now
Clinical Unit Leader - Intermediate 4S - St. Elizabeth Youngstown Hospital
Bon Secours Mercy Health
Youngstown, OH
Adjusts the schedule and patient assignments to accommodate changes in acuity, patient population, resources & care design.
Added just now
HT
Event Strategist
Healthcare Talent Support
Remote, United States
- $100,000 to $115,000 USD / year
Data-driven mindset; comfortable leveraging insights to drive decisions and demonstrate measurable impact.
Added just now
Founding Tech Lead
Incompass
NY · New York, NY
Design, build, and maintain core features across our stack (React, Node.js, Firebase, and GCP)
Added just now
I
Director of Customer Success
Incompass
Boston, MA · New York, NY
- $100,000 to $120,000 USD / year
Design your own Customer Success strategy to drive adoption, retention, and expansion including account planning for our largest customers.
Added just now
Senior Frontend Technical Lead - React & Integrations
Concentrix CVG Customer Management Group Inc.
United States
The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering,…
Added just now
TI
Program Manager
The Institute for Health and Food Literacy Education
Newark, NJ
- $70,000 to $85,000 USD / year
Design and implement an integrated curriculum combining food literacy, health education, and environmental sustainability programming for grades 4-8
Added just now
Respiratory Care Practitioner III - Respiratory Therapy - St. Rita's Medical Center
Bon Secours Mercy Health
Lima, OH
Assists with identifying quality improvement initiatives and design programs that provide measurable outcomes. Leads clinical research initiatives ensuring education, training, and…
Added 1 min ago
Principal Engineer
Modern Relay
New York City, NY · San Francisco, CA
We’re looking for a Principal Engineer to lead the design and delivery of core platform capabilities across our stack. You’ll operate as a senior technical leader - owning architecture…
Added 1 min ago
AI Engineer
Modern Relay
New York City, NY · San Francisco, CA
We’re looking for an AI Engineer to help build the data and model foundations that make Modern Relay’s platform reliable in production. You’ll work across data pipelines, model development,…
Added 1 min ago
Grant Writer - Work at Home
Bon Secours Mercy Health
Baltimore, MD
Translate complex programs, outcomes, and community impact data into clear, persuasive narratives that demonstrate need, effectiveness, and potential for measurable results.
Added 1 min ago
Mechanical Engineer - Combustion
GE Gas Turbines (Greenville) L.L.C.
United States
Perform pre and post combustion laboratory / engine test data analysis to find valuable insights which can be used to draw key conclusions. Suggest and execute ideas to improve the…
Added 1 min ago
Respiratory Care Practitioner III - Southern Virginia Regional Medical Center - PRN
Bon Secours Mercy Health
Emporia, VA
Assists with identifying quality improvement initiatives and design programs that provide measurable outcomes. Leads clinical research initiatives ensuring education, training, and…
Added 1 min ago
Respiratory Care Practitioner III - Southern Virginia Regional Medical Center - PRN
Bon Secours Mercy Health
Emporia, VA
Assists with identifying quality improvement initiatives and design programs that provide measurable outcomes. Leads clinical research initiatives ensuring education, training, and…
Added 1 min ago
Respiratory Care Practitioner III - Respiratory Therapy - St. Elizabeth Youngstown Hospital
Bon Secours Mercy Health
Youngstown, OH
Assists with identifying quality improvement initiatives and design programs that provide measurable outcomes. Leads clinical research initiatives ensuring education, training, and…
Added 1 min ago
Construction Manager, Data Center Project Development
Meta
Rayville, LA
Partner with design, engineering, and commissioning teams to resolve field conflicts, manage RFIs and submittals, and ensure constructability of data center systems
Added 1 min ago
Data Center Site Manager
CBRE
Monroe, LA
Direct Line (“DL”) is a high growth global technologyservices subsidiary of CBRE with primary focus in providing design,integration, installation, maintenance and managed services to…
Added 2 mins ago
Account Manager 2, Target
Ricoh Americas Corporation
Shreveport, LA
Sound understanding of the solution design process.
Added 2 mins ago
Senior Data Engineer
Ochsner Health
New Orleans, LA
The Senior Data Engineer is responsible for designing, developing, implementing, and optimizing enterprise‑grade solutions and architectures, while ensuring scalability, performance,…
Added 2 mins ago
Government and Public Sector - HR Transformation - People Consulting - Staff 2
EY
New Orleans, LA
…solutions to solve the government’s toughest challenges, analyzing data for actionable insights or transforming HR organizations, we cultivate innovation and purpose. You will find an…
Added 2 mins ago
Lead Civil Engineer (Hydraulic)
U.S. Army Corps of Engineers
New Orleans, LA
…strategies, goals, objectives, and work plans. Leads the analysis and design of coastal engineering considerations assigned to the Hydrology, Hydraulics and Coastal Branch. Resolves…
Added 2 mins ago
Staff Machine Learning Engineer - Mapping
General Motors
Baton Rouge, LA
Design and implement end-to-end pipelines for offline map reconstruction, including data mining, labeling strategies, model training, evaluation, and production deployment.
Added 2 mins ago
O
Software Development Manager
Oracle
Baton Rouge, LA
- $112,800 to $264,100 USD / year
…better experiences and easier access to health and research data for patients, healthcare providers, and…
Added 2 mins ago
Power Platforms Mid Engineer
Serco
Baton Rouge, LA
…our Maritime Engineering Operation (MEO). This candidate will design, develop, and support low-code solutions (Power Apps, Power Automate, Power BI, Dataverse) in support of Department of…

Harper

AI Platform Engineer

San Francisco, CA, United States

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

Apply About employer

Applications open in a new tab.

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

Apply About employer

Report this job