Jobs in the United States

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Added 9 mins ago
W
(USA) Staff, Software Engineer
Walmart
BENTONVILLE, AR
- $110,000 to $220,000 USD / year
Join Walmart as a Staff Software Engineer to lead the design, development, and deployment of scalable data platform capabilities and AI-driven applications. This role involves driving the…
Added 11 mins ago
Data Engineer Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 11 mins ago
Cloud Infrastructure Engineer Role
OpenDataJobs
Remote, United States
…monitoring. Where DevSecOps Engineers own the secure delivery path, Cloud Infrastructure Engineers own the platform capabilities, service configuration, capacity, resilience, and…
Added 11 mins ago
O
Data Engineer (SQL)
OpenDataJobs
Remote, United States
- $120,000 to $140,000 USD / year
At Peregrine Advisors, you will design and build the data layer for a federal enterprise platform. But we hire people, not seats. As the work evolves, you will move to where the hardest…
Added 11 mins ago
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Senior Data Engineer (SQL)
OpenDataJobs
Remote, United States
- $150,000 to $170,000 USD / year
At Peregrine Advisors, you will own the data pipelines and databases behind a mission-critical federal enterprise data platform: their design, their performance and reliability, and the…
Added 11 mins ago
Data Architect Role
OpenDataJobs
Remote, United States
An opening may emphasize a particular cloud platform, modeling tool, industry data standard, master data discipline, event-driven architecture, or modernization program. Some roles may…
Added 11 mins ago
Database Administrator Role
OpenDataJobs
Remote, United States
…and work well with developers, architects, security teams, cloud platform teams, and service owners. You know when to automate a repeatable task and when a change needs human…
Added 11 mins ago
O
DevSecOps / Platform Engineer
OpenDataJobs
Remote, United States
- $120,000 to $150,000 USD / year
Configure cloud networking, access permissions, storage, and compute resources following established security requirements.
Added 11 mins ago
O
Data Architect (Data Modeling, AWS)
OpenDataJobs
Remote, United States
- $112,000 to $170,000 USD / year
At Peregrine Advisors, you will design the data models and architecture for a large federal data-lake platform on Amazon Web Services (AWS). But we hire people, not seats. As the work…
Added 11 mins ago
Project Manager Role
OpenDataJobs
Remote, United States
Openings may involve application development, data platform modernization, cloud migration, systems integration, analytics delivery, or AI adoption. Some may require a Project Management…
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
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Junior DevSecOps Engineer (Python, CI/CD)
OpenDataJobs
Remote, United States
- $80,000 to $95,000 USD / year
…integration 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…
Added 11 mins ago
Data Program Manager Role
OpenDataJobs
Remote, United States
Openings may involve platform modernization, data migration, analytics delivery, governance implementation, artificial intelligence adoption, cloud transformation, or portfolios that…
Added 11 mins ago
Data Security Specialist Role
OpenDataJobs
Remote, United States
Openings may specify a data platform, cloud service, security toolset, classification regime, or authorization context. Systems handling artificial intelligence workloads may also require…
Added 11 mins ago
Data Strategist Role
OpenDataJobs
Remote, United States
Openings may focus on enterprise data strategy, artificial intelligence readiness, analytics transformation, cloud and platform direction, governance maturity, workforce capability, or the…
Added 11 mins ago
Database Developer Role
OpenDataJobs
Remote, United States
An opening may center on PostgreSQL, Microsoft SQL Server, Oracle Database, a cloud warehouse, or another specific platform. It may require procedural SQL, partitioning, replication-aware…
Added 11 mins ago
DevSecOps Engineer Role
OpenDataJobs
Remote, United States
…with 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
Full-Stack Developer Role
OpenDataJobs
Remote, United States
An opening may specify React and Node.js, React and Python, a cloud platform, GraphQL, Representational State Transfer (REST), serverless services, containerized workloads, or a particular…
Added 11 mins ago
Generative AI Engineer Role
OpenDataJobs
Remote, United States
Specific openings may name a model provider, cloud platform, vector or search service, agent framework, observability stack, programming language, model-evaluation approach, content-safety…
Added 11 mins ago
Machine Learning Engineer Role
OpenDataJobs
Remote, United States
ODJ is organized around Roles and Openings. A Role is a durable career type, such as Data Engineer or AI Engineer: it describes the work, the skills that count, and where the path can lead.…
Added 11 mins ago
Software Engineer (Back End and Cloud) Role
OpenDataJobs
Remote, United States
This role owns production service behavior, not just endpoint code. Back-end and cloud engineers work with front-end developers, data teams, security, quality engineering, and platform or…
Added 12 mins ago
Backend Engineer, Generative AI Services
OPPO US Research Center
Palo Alto, CA
You will work primarily with platforms like Google Cloud or Azure to bring advanced AI capabilities directly to our users' mobile phones. This is a unique opportunity to build…
Added 12 mins ago
Forward Deployed Engineering & Applied AI Professionals
TDS Global Solutions
Remote, United States
Cloud & Infrastructure: AWS, Google Cloud Platform (GCP), Microsoft Azure, Cloud Infrastructure, Data Pipelines, Production AI Infrastructure
Added 12 mins ago
Senior Full-Stack Product Engineer (Forward-Deployed)
Zipdev
Remote, United States
We are seeking a Senior Full-Stack Product Engineer to join a high-priority, newly funded product engineering team developing an agentic AI platform that processes large-scale datasets for…
Added 12 mins ago
Senior Full-Stack Product Engineer (Forward-Deployed)
Zipdev
Remote, United States
We are seeking a Senior Full-Stack Product Engineer to join a high-priority, newly funded product engineering team developing an agentic AI platform that processes large-scale datasets for…

Zipdev

Founding AI Platform Engineer

Remote, United States

Apply on jobs.workable.com About employer

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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