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Principal Engineer
B10 Wells Fargo Bank, N. A.
CHANDLER, AZ · IRVING, TX
Wells Fargo is seeking a Principal Engineer to lead the design, development, and delivery of Generative AI (GenAI) and Agentic AI solutions across enterprise platforms. This role will…
Added 3 mins ago
Core Senior .NET Software Engineer
Evolent
Jackson, MS
The Senior Software Engineer leads the design, development, and deployment of complex software solutions, ensuring scalability and maintainability. This role architects and implements…
Added 10 mins ago
AI Solutions Lead
B10 Wells Fargo Bank, N. A.
CHARLOTTE, NC · CHANDLER, AZ · IRVING, TX · DES MOINES, IA · SALT LAKE CITY, UT · SHORT HILLS, NJ · SAINT LOUIS, MO · MINNEAPOLIS, MN
Wells Fargo is seeking an AI Solutions Lead to own AI solution delivery within Wealth & Investment Management. This is a single shape-and-build role - a hybrid of a Forward Deployed…
Added 23 mins ago
Senior Forward Deployed Engineer, AWS Forward Deployed Engineering
Amazon Web Services, Inc.
Boston, MA · Seattle, WA · Arlington, VA · New York, NY · East Palo Alto, CA · San Francisco, CA
A Forward Deployed Engineer (FDE) embeds directly inside a strategic enterprise customer to design, build, deploy, and run AI-powered production systems alongside the customer's engineering…
Added 25 mins ago
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AI - Cybersecurity Forward Deployed Engineer - FDE Senior Manager
Accenture
Nashville, TN
- $132,500 to $366,300 USD / year
…not a pen test engagement. A Cybersecurity Forward Deployed Engineer is a production engineer who works embedded inside a client’s enterprise - shoulder to shoulder with their security and…
Added 25 mins ago
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Senior Platform Software Engineer, AI
Oracle
Nashville, TN
- $92,500 to $209,500 USD / year
We are seeking a Senior Platform Software Engineer to design, build, and operate scalable services that improve the developer experience and increase engineering productivity. You will work…
Added 25 mins ago
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Cybersecurity AI Forward Deployed Engineer - FDE - Manager
Accenture
Nashville, TN
- $94,400 to $316,300 USD / year
…not a pen test engagement. A Cybersecurity Forward Deployed Engineer is a production engineer who works embedded inside a client’s enterprise - shoulder to shoulder with their security and…
Added 25 mins ago
Senior Agentic AI Software Engineer
Insight Global
Nashville, TN
Lead the design, development, and implementation of scalable, enterprise-grade Generative AI solutions on the Google Cloud Platform, with a strong focus on the Vertex AI suite.
Added 1 hour ago
Salesforce Solution Architect
Global Career Website
Remote, United States
As a Salesforce Solution Architect, you will lead high-performance, feature-driven development teams in building enterprise-level solutions for global brands. Operating with a "Forward…
Added 1 hour ago
Forward Deployed Engineer
Elixirr Consulting
United States
Track record of embedding with users or customers - consulting, startup founding engineer, FDE, solutions engineering, internal platform teams, or similar.
Added 1 hour ago
UI
Director of Learning
Untamed Intelligence
Remote, United States
- $165,000 to $195,000 USD / year
We’re a product company building the underlying platform for a new model of AI-native education - beginning with our first application: an AI-native university in the UK.
Added 1 hour ago
IT/OT Engineer
Stellix
Foxborough, MA
We are currently looking for a IT/OT Engineer who will participate in all technical aspects the group is responsible for including product development, project engineering and site support.…
Added 1 hour ago
Founding Tech Lead
Incompass
NY · New York, NY
Incompass Labs is looking for a Founding Tech Lead (Lead Software Engineer / Technical Lead / Senior Software Engineer) based in the NYC area to join our growing tech team and help scale a…
Added 1 hour 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 hour ago
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AI Platform Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…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…
Added 1 hour ago
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AI Forward Deployed Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…will work directly with business stakeholders, the CEO, CTO, platform teams, and functional leads to execute on our AI vision with a bias toward action. We live by core principles: "There…
Added 1 hour ago
AI Engineer - Voice
Harper
San Francisco, CA
…Your systems will handle everything from cold outreach and lead qualification to complex multi-turn underwriting conversations and 24/7 customer…
Added 1 hour ago
AI Engineer Internship (UNPAID)
Holiday World
Remote, United States
A platform to lead and innovate within a dynamic startup environment, offering substantial opportunities for professional growth and development.
Added 1 hour ago
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Backend Engineer (In-Person)
Refine
New York City, NY
- $75,000 to $100,000 USD / year
We're seeking a Senior GoLang Developer with expertise in building and maintaining distributed systems. The ideal candidate should have strong experience with gRPC and Protocol Buffers for…
Added 1 hour 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 1 hour ago
BS
Technical Engineering Lead
Bubble Sort Recruiting
New York City, NY
- $175,000 to $200,000 USD / year
Has leadership experience as a lead engineer or senior engineer
Added 1 hour ago
BS
Founding Engineer
Bubble Sort Recruiting
San Francisco, CA
- $120,000 to $200,000 USD / year
…voice agents that enhance customer support, order intake, and lead qualification for businesses across…
Added 1 hour ago
Senior Backend Engineer
Gaya
Remote, United States
As a Senior Backend Engineer at Gaya, you'll architect and scale the systems that power insurance automation for thousands of users. You'll establish engineering best practices, lead…
Added 1 hour ago
Lead Engineer
Gaya
Remote, United States
As a Lead Engineer at Gaya, you will take on a crucial leadership role in shaping our platform's front-end and back-end architecture. You will be instrumental in driving the development of…
Added 1 hour ago
SD
Mobile Test Engineer
SunCore Digital
Scottsdale, AZ · Bellevue, WA
- $135,000 to $155,000 USD / year
You will work under the direction of the Senior QA Engineer / Quality Lead and collaborate closely with mobile developers, backend engineers, the Web and Backend QA Engineer, UI/UX, 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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