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Added 3 mins ago
Senior Flight Test Engineer - Mission Autonomy (UAS - Fury)
Anduril Industries
Costa Mesa, CA
…autonomy systems. As we expand, we're seeking a methodical engineer who is prepared to tackle the challenges of mission autonomy testing and contribute to the iterative development and…
Added 3 mins ago
Flight Test Engineer - Mission Autonomy (UAS - Fury)
Anduril Industries
Costa Mesa, CA
…autonomy systems. As we expand, we're seeking a methodical engineer who is prepared to tackle the challenges of mission autonomy testing and contribute to the iterative development and…
Added 3 mins ago
Flight Test Engineer - Mission Autonomy
Anduril Industries
Costa Mesa, CA
…autonomy systems. As we expand, we're seeking a methodical engineer who is prepared to tackle the challenges of mission autonomy testing and contribute to the iterative development and…
Added 19 mins ago
CS
Software Engineer Full Stack / Backend I (Full Time) - United States
Cisco Systems, Inc.
Remote, United States
- Full-time
The application window is expected to close on: 11/17/2026Meet the team
Added 19 mins ago
Software Engineer – Release Management
Cisco Systems, Inc.
RTP, NC
The application window is expected to close on: 12/05/26.
Added 25 mins ago
Software Engineer / Application Developer
American Operations Corporation
Montgomery, AL
…across cloud-native, web, middleware, API, database, and legacy application environments while ensuring code changes align to operational mission requirements, cybersecurity controls,…
Added 27 mins ago
NA
Founding Platform & Infrastructure Engineer, AI Platform
Nth AI
San Francisco, CA
- $150,000 to $190,000 USD / year
Deployment automation: Build CI/CD and release workflows that reliably deploy application code, agents, infrastructure, and configuration across development and customer environments.
Added 27 mins ago
Forward Deployed Engineer, Enterprise AI
Nth AI
San Francisco, CA
Strong Python and SQL skills, sound data modeling fundamentals, and the ability to troubleshoot across application, data, and infrastructure boundaries.
Added 29 mins ago
Senior Automation Engineer (Back-End SCADA)
Stellix
Foxborough, MA
…- as does the technical relationship with the PLC Principal Engineer at the tag mapping and OPC server…
Added 29 mins ago
A
Senior Engineer
Alignment
San Francisco, CA
- $110,000 to $140,000 USD / year
You are familiar with web application backends (Python)
Added 33 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 34 mins ago
Founding Full-Stack Engineer (Application-Layer AI)
Skylarq AI
Remote, United States
Skylarq.ai is a cutting-edge application-layer AI company founded by Y Combinator alumni and serial entrepreneurs from Harvard, McKinsey, Wish.com, Broadcom, and LinkedIn. Backed by a…
Added 37 mins ago
D
Client Growth Strategist
Discovered
Remote, United States
- $45,000 to $70,000 USD / year
You can't live with data. You don't need to be an engineer, but you must run your own analysis and reason about numbers under pressure. Spreadsheets, SQL, Python and AI tooling all count.
Added 37 mins ago
ET
Software Engineer (Java / Python)
Elite Technical
Remote, United States
- $65 USD / hour
Our client, a leading federal defense contractor, is seeking a Senior Application Developer with hands-on development of middleware, automation frameworks, and integration solutions using…
Added 38 mins ago
H
AI Platform Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…$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…
Added 38 mins ago
AI Engineer - Voice
Harper
San Francisco, CA
Develop form-filling agents handling 20-30 minute insurance application conversations
Added 40 mins ago
Senior Systems Engineer - Wireless & Wired Networking (Remote)
The Home Depot
Remote, United States
The Sr. Systems Engineer is responsible for independently developing, maintaining, and supporting The Home Depot's technical infrastructure that drives the success of The Home Depot and our…
Added 42 mins ago
Forward Deployed Engineer
Edgescale AI
Denver, CO
We’re looking for a Forward Deployed Engineer (FDE) to accelerate the application of AI in real-world environments by embedding with customers and partners to deliver high-impact…
Added 42 mins ago
Core Engineer - Software / Applied AI (Multiple Levels)
Edgescale AI
Denver, CO
We’re looking for a Core Engineer focused on Software / Applied AI to build the production AI capabilities that make our edge platform scalable, reliable, and repeatable.
Added 42 mins ago
Core Engineer - Data Systems (Multiple Levels)
Edgescale AI
Denver, CO
We’re looking for a Core Engineer focused on data systems to build the data and streaming foundations that make our edge platform reliable, observable, and repeatable.
Added 43 mins ago
TH
Data Engineer
Tono Health
Brooklyn, NY
- $140,000 to $190,000 USD / year
Building and maintaining ingestion pipelines (dlt, Prefect) from our Postgres application database, Stripe, Posthog and other sources into our warehouse (BigQuery, Motherduck/DuckDB)
Added 44 mins ago
TT
Product Engineer
True Talent Solutions Partners
San Francisco, CA
- $185,000 to $485,000 USD / year
Build full-stack software that supports a venture capital firm's application pipeline, events, and internal operations. This product engineering role combines engineering, product…
Added 47 mins ago
Sr IT Software Engineer
Palo Alto Networks, Inc.
CA
We are seeking a dynamic Sr. IT Software Engineer to lead the design and delivery of our next-generation scalable services. Leveraging Python, Django, FastAPI, React, and GraphQL within…
Added 48 mins ago
BS
Product Engineer
Bubble Sort Recruiting
San Francisco, CA
- $180,000 to $250,000 USD / year
We're seeking a Product Engineer to help us reshape how millions of loans are serviced through artificial intelligence. As a Product Engineer at AI Platform Company, you'll build and…
Added 49 mins ago
Senior Software Engineer (full stack)
IBBX Wireless Energy
United States
…software integration. You will also develop software using either Python, Java, JavaScript (using React…

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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