Jobs in the United States

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Added 9 mins ago
W
Senior Manager, Supply Chain Management- Recommerce Enablement
Walmart
BENTONVILLE, AR
- $90,000 to $180,000 USD / year
You build and lead the enablement infrastructure that allows Recommerce to scale.
Added 11 mins ago
Data Engineer Role
OpenDataJobs
Remote, United States
…retention and deletion implementation, performance and cost tuning, infrastructure as code, and technical…
Added 11 mins ago
O
Senior Data Engineer (SQL)
OpenDataJobs
Remote, United States
- $150,000 to $170,000 USD / year
Work with architects, developers, and data engineers, and move database changes through continuous integration and continuous delivery (CI/CD) and infrastructure as code.
Added 11 mins ago
Data Architect Role
OpenDataJobs
Remote, United States
…modernization program. Some roles may require hands-on SQL, infrastructure review, or experience guiding implementation across several delivery…
Added 11 mins ago
Database Administrator Role
OpenDataJobs
Remote, United States
…application behavior, query plans, configuration, data growth, and infrastructure signals before changing a production…
Added 11 mins ago
O
DevSecOps / Platform Engineer
OpenDataJobs
Remote, United States
- $120,000 to $150,000 USD / year
Build and maintain CI/CD pipelines for infrastructure validation, testing, deployment, and release promotion.
Added 11 mins ago
O
CI/CD and Platform Engineer
OpenDataJobs
Remote, United States
- $120,000 to $140,000 USD / year
At Peregrine Advisors, you will stand up and operate the delivery pipelines and cloud infrastructure that carry federal systems into production, keeping all of it secure and automated. But…
Added 11 mins ago
O
Junior DevSecOps Engineer (Python, CI/CD)
OpenDataJobs
Remote, United States
- $80,000 to $95,000 USD / year
…and continuous delivery (CI/CD) pipelines, and secure cloud infrastructure that keep federal systems running. But we hire people, not seats. As the work evolves, you will move to where the…
Added 11 mins ago
DevSecOps Engineer Role
OpenDataJobs
Remote, United States
…visible controls and usable evidence. They partner with Cloud Infrastructure Engineers who provide the underlying platform, while they own the delivery path and its security…
Added 11 mins ago
Machine Learning Engineer Role
OpenDataJobs
Remote, United States
· Monitoring and alerting for data quality, drift, model performance, fairness, infrastructure health, latency, and cost.
Added 11 mins ago
Software Engineer (Back End and Cloud) Role
OpenDataJobs
Remote, United States
…and .NET, Node.js, a cloud provider, container orchestration, infrastructure as code, or a particular identity and messaging stack. Some roles may emphasize Representational State Transfer…
Added 11 mins ago
Senior Full-Stack Product Engineer (Forward-Deployed)
Zipdev
Remote, United States
Integration Expertise: Practical experience integrating software with government enterprise infrastructure (IdAM, SIEM, data platforms, or secure enclaves).
Added 11 mins ago
Senior Full-Stack Product Engineer (Forward-Deployed)
Zipdev
Remote, United States
Integration Expertise: Practical experience integrating software with government enterprise infrastructure (IdAM, SIEM, data platforms, or secure enclaves).
Added 11 mins ago
Senior Full-Stack Product Engineer (Forward-Deployed)
Zipdev
Remote, United States
Integration Expertise: Practical experience integrating software with government enterprise infrastructure (IdAM, SIEM, data platforms, or secure enclaves).
Added 11 mins ago
Founding AI Platform Engineer
Zipdev
Remote, United States
…and engineering team to build the AI orchestration layer, LLM infrastructure, document intelligence pipelines, and knowledge graph that power reliable AI workflows across commercial real…
Added 11 mins ago
AI Factory Network Architect
Runware
Remote, United States
Runware is the AI inference platform that builds and runs its own infrastructure, end to end. Our Sonic Inference Engine has served more than 20 billion requests for over 1 million…
Added 11 mins ago
Senior Security Engineer
Runware
Remote, United States
Runware is the AI inference platform that builds and runs its own infrastructure, end to end. Our Sonic Inference Engine has served more than 20 billion requests for over 1 million…
Added 11 mins ago
WD
Development Operations Manager
Women Donors Network
Remote, United States
- From $110,000 USD / year
Candidates must have at least 5 years of development operations experience and demonstrated comfort with remote work
Added 11 mins ago
Senior Talent Partner - US
Runware
Remote, United States
Experience recruiting within AI, ML, infrastructure, cloud, developer tools or another highly technical environment
Added 11 mins ago
ST
ERP Consultant - Acumatica (Remote)
SWK Technologies
Remote, United States
- $100,000 to $130,000 USD / year
…poised for growth but hindered by inefficient software, IT infrastructure, and workflow processes across departmental…
Added 11 mins ago
ST
ERP Consultant - Acumatica (Remote)
SWK Technologies
Remote, United States
- $100,000 to $130,000 USD / year
…poised for growth but hindered by inefficient software, IT infrastructure, and workflow processes across departmental…
Added 11 mins ago
ST
ERP Consultant - Acumatica (Remote)
SWK Technologies
Remote, United States
- $100,000 to $130,000 USD / year
…poised for growth but hindered by inefficient software, IT infrastructure, and workflow processes across departmental…
Added 11 mins ago
ST
ERP Consultant - Acumatica (Remote)
SWK Technologies
Remote, United States
- $100,000 to $130,000 USD / year
…poised for growth but hindered by inefficient software, IT infrastructure, and workflow processes across departmental…
Added 11 mins ago
ST
ERP Consultant - Acumatica (Remote)
SWK Technologies
Remote, United States
- $100,000 to $130,000 USD / year
…poised for growth but hindered by inefficient software, IT infrastructure, and workflow processes across departmental…
Added 11 mins ago
Senior Demand Generation & Lifecycle Marketing Specialist
TuxCare
Remote, United States
A builder who executes directly rather than relying on agencies. Experience in B2B cybersecurity, open-source, or infrastructure software is preferred.

Zipdev

Founding AI Platform Engineer

Remote, United States

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Job details

Experience: Experience: 5–10 years of professional experience as a software, backend, machine learning, or applied AI engineer.
Posting language: English
Posted: Nov 10, 2026

Original job description

Our client is a seed-stage enterprise AI company building an AI platform specifically for the commercial real estate industry. Its platform transforms a firm's documents and data into a structured knowledge graph that AI agents can reason over, helping investors, owners, operators, and developers automate workflows and access reliable answers backed by source citations. The company combines a recurring platform subscription with forward-deployed engineers who build custom workflows within client environments. Its vision is to become the foundational AI platform for the commercial real estate industry, bringing agentic workflows, transparency, and governance to a traditionally underserved market. Backed by a real-estate-focused venture fund with strong industry relationships, the company already works with established commercial real estate firms. This is an opportunity to join a small, five-person team, work directly with the CEO, and take founding-level ownership of a product with significant growth potential. About the Role Our client is looking for a Senior AI Platform Engineer to build and own the core platform powering its enterprise AI products. While forward-deployed engineers focus on developing custom applications for individual clients, this role focuses on identifying common patterns across those engagements and turning them into reusable platform capabilities. This is a highly technical, hands-on engineering position with significant architectural ownership. You will work closely with the CEO and engineering team to build the AI orchestration layer, LLM infrastructure, document intelligence pipelines, and knowledge graph that power reliable AI workflows across commercial real estate clients.

Key Responsibilities

Build and own the core AI orchestration platform, from document ingestion and processing to grounded, source-cited answers.
Design and maintain a multi-provider LLM gateway with prompt caching, record-replay capabilities, and evaluation-gated model routing to optimize cost, quality, and latency.
Develop evaluation frameworks and guardrails to measure LLM output quality, prevent hallucinations, and ensure reliable production performance.
Build fact-extraction pipelines and semantic matching systems for complex commercial real estate documents, including loan documents and rent rolls.
Map extracted information to a commercial real estate semantic field dictionary to improve consistency, accuracy, and data reliability.
Lead the architecture of a multi-tenant knowledge graph and retrieval layer.
Implement enterprise governance capabilities, including PII detection, policy checks, human escalation workflows, and cryptographic audit trails.
Identify reusable functionality across client-specific implementations and incorporate it into the shared platform.
Design and build reusable integrations with enterprise real estate platforms such as DealCloud and Yardi.
Collaborate directly with the CEO and forward-deployed engineers to influence product architecture and technical direction.
Experience: 5–10 years of professional experience as a software, backend, machine learning, or applied AI engineer.
Production AI Experience: Proven experience building and shipping AI-centric systems used by real users in production. Relevant experience includes agentic workflows, LLM pipelines, document extraction, or retrieval systems over unstructured data.
Architectural Ownership: Demonstrated experience designing and building a platform or major system end to end, making key architectural and technical decisions. This could include founding or early engineering roles, owning a service independently, leading a 0-to-1 build, or leading a small engineering team.
LLM Evaluation & Reliability: Experience owning the quality of production LLM systems, including building evaluation frameworks, implementing guardrails, and measuring and preventing hallucinations or unreliable outputs. Hands-on experience with evaluations is required.
Backend Engineering: Strong experience building APIs, backend services, and data pipelines.
Cloud Infrastructure: Experience designing and deploying production systems in cloud environments.
Data & Systems Thinking: Ability to work with complex, unstructured data and design reliable systems for extraction, retrieval, and information management.
Enterprise Readiness: Comfortable handling sensitive enterprise data and making engineering decisions that balance accuracy, security, cost, and latency.

Technologies & Tools

The ideal candidate will have experience with some of the following:

Backend: Node.js, TypeScript
Database: PostgreSQL
Cloud: AWS
AI/ML: LLMs, agentic workflows, RAG, document extraction, evaluation frameworks, semantic search
Data Architecture: Knowledge graphs, data pipelines, multi-tenant systems
Integrations: Enterprise APIs and third-party software connectors

Nice to Have

Experience working at an early-stage startup, ideally seed to Series B, as an early or founding engineer.
Experience with LLM gateways, document AI, knowledge graphs, or advanced retrieval systems.
Fine-tuning or computer vision experience.
Familiarity with financial or commercial real estate documents, such as loan agreements, rent rolls, and investment materials.
Experience integrating with commercial real estate platforms such as DealCloud or Yardi.
Experience in forward-deployed engineering environments, particularly companies that combine a shared platform with custom client implementations.
Based in or near Chicago.

What Success Looks Like

A reliable AI platform that supports multiple enterprise clients and their workflows.
Production LLM systems with measurable quality, strong evaluations, and effective hallucination prevention.
Reusable platform capabilities developed from patterns identified across client engagements.
Efficient model routing that balances output quality, cost, and latency.
A scalable knowledge graph and retrieval architecture designed for complex commercial real estate data.
Strong governance, security, and auditability across enterprise workflows.

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Jobs in the United States