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ENGINEERING DESIGN 3
Huntington Ingalls Industries
Newport News, VA
This position is for a senior level project lead and subject matter expert engineering designer to serve in E27 Aircraft Carrier Hull Outfitting. This position will support all E27…
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Sr. Software Engineer - 2 Day Hybrid Reston - FreeWheel
Comcast
Reston, VA
…device, set-top box and traditional TV. FreeWheel’s New York Engineering Hub is a core part of our global engineering group that is building the one-stop solution for TV industry to manage…
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Chief Data & Interoperability Architect
Leidos
Reston, VA
10 years in software engineering, systems integration or data engineering, including 3 as a solution architect or technical lead for integration or data-platform delivery. Experience on an…
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Chief Data & Interoperability Architect
Leidos
Reston, VA
10 years in software engineering, systems integration or data engineering, including 3 as a solution architect or technical lead for integration or data-platform delivery. Experience on an…
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Principal Modeling & Simulation Engineer
Trinzic
Reston, VA
At KBR, we deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than…
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Senior Vice President for Intelligence & Cyber Solutions
SOS International LLC
Reston, VA
…capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and…
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Senior Modeling & Simulation Engineer
Trinzic
Reston, VA
At KBR, we deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 37,000 people worldwide with customers in more than…
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Digital Systems Engineer
SAIC
Chantilly, VA
As the Digital Systems Engineer (Model-Based Systems Engineer) you will support the advancement of Digital Engineering and MBSE capabilities across intelligence ground systems, mission…
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Systems Engineer Chief
SAIC
Chantilly, VA
We are looking for a Chief Systems Engineer to lead technical strategy and solution development for AI demonstrations and production solutions, as well as shared software platform…
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Manager, IT Client Operations
Red River
Chantilly, VA
The IT Client Operations Manager is a client-facing governance role within the Managed Services division, responsible for ensuring that operational service delivery aligns with client…
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SS
Launch Systems Integration Engineer and Technical Advisor (SETA)
Space Systems Integration
Chantilly, VA
- $180,000 to $230,000 USD / year
…{smartmail="gmail_signature" dir="ltr"} ::: {dir="ltr"} You will lead technical evaluations,mission baselining,and integration activities across the mission lifecyclefrom early concept…
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Quality Engineer- Construction
Amazon
Herndon, VA
Lead quality assurance reviews for multidisciplinary engineering design deliverables across all major project phases including early design and construction release milestones for new AWS…
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Global Environmental Construction Program Lead, AWS Environmental
Amazon
Herndon, VA
…will set strategic direction, drive program development, and lead cross-regional execution from design phase through to handover, working extensively with senior stakeholders and business…
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Senior Technical Program Manager, Electrical Products and Services, Data Center Engineering
Amazon
Herndon, VA
· Earn trust and build relationships with different stakeholders (e.g., Engineering, Product Development, Finance, Operations)
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Senior Electrical Engineering Manager, Data Center Eng, Electrical Products & Services
Amazon
Herndon, VA
Within AIS and Data Center Engineering, the Electrical Products and Services team is driving rapid innovation in electrical infrastructure used by AWS. Our designs are fundamentally…
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Lead, Electrical Engineering - MEMS Subject Matter Expert
L3Harris
Herndon, VA
Job Title: Lead, Electrical Engineering - MEMS Subject Matter Expert
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Manager, Conversational & Agentic AI
ADP
Norfolk, VA
- $86,600 to $161,600 USD / year
…solutions and take the next step, while improving conversion, lead quality and qualified sales…
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Automated Test Engineer (MUMPS)
Syms Strategic Group, LLC (SSG)
Virginia Beach, VA
Experience testing enterprise applications supporting clinical, benefits, or healthcare operations
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Principal Payment Tech Development Manager
Capital One
McLean, VA
The Principal Payment Tech Development Manager will lead the end-to-end design, development, testing, certification, and delivery of contact/contactless chip technologies, mobile payments,…
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Investments and Business Case, Principal
The MITRE Corporation
McLean, VA
…health, transportation, and citizen services. We’re a nonprofit engineering, applied research, and advanced technology organization working in the public interest. With objectivity and…
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Project Leader, Office of Net Assessment
The MITRE Corporation
McLean, VA
…health, transportation, and citizen services. We’re a nonprofit engineering, applied research, and advanced technology organization working in the public interest. With objectivity and…
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Finance Manager, FP&A Lead - Global Logistics, Inbound Transportation FP&A
Amazon
Arlington, VA
…down-to-earth approach to thoroughly understand the team's operations, identify cost savings opportunities, and own the process for securing financial entitlements. Through regular meetings…
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Senior Engagement Manager, AWS ProServe EDU & SLG
Amazon
Herndon, VA · Arlington, VA
…and versatile Engagement Manager (EM) to join our team and lead the delivery of complex cloud solution projects. In this role you will combine technical expertise with strong project…
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Threat Informed Defense Senior Manager
Accenture
Arlington, VA
- $132,500 to $338,300 USD / year
Is an exciting opportunity to lead, influence, and execute on the technical and engineering core of a global cyber threat intelligence program serving mission-critical industry…
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Sr. Software Development Engineer, Prime Video Advertising
Amazon
Arlington, VA
Experience as a mentor, tech lead or leading an engineering team

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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