Jobs in the United States

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Distribution Protection Engineer, Energy
Welty Shared Services LLC
United States
A Distribution Protection Engineer is responsible for performing relay protection functions across the distribution systems. The primary focus is on studying and protecting the distribution…
Added 1 min ago
Software Engineer I - 19025
CAI Cox Automotive Corp Svcs., LLC
Atlanta, GA
The Software Engineer II applies secure software engineering principles to the design, development, testing, maintenance, and evaluation of software and cloud infrastructure. This role…
Added 2 mins ago
Test Automation Consultant - Healthcare
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United States
⦁ Ability to work from the office four days per week
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PORT ASSOCIATE ENGINEER (ELECTRICAL/MECHANICAL WORK)
Port of Oakland
Oakland, CA
- $14,000 to $17,338 USD / month
…date for any reason, including any technical issues, such as system, browser, or computer failures, etc.…
Added 3 mins ago
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Senior Core Infrastructure Engineer
Oracle
Nashville, TN
- $79,200 to $209,500 USD / year
As an engineer on the Strategic Customer Engineering team plays a critical role in aligning technical details across various service teams, collaborating with cross-functional stakeholders,…
Added 3 mins ago
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Principal Software Engineer, Core Infrastructure
Oracle
Nashville, TN
- $114,600 to $234,600 USD / year
An engineer on the Strategic Customer Engineering team plays a critical role in aligning technical details across various service teams, collaborating with cross-functional stakeholders,…
Added 3 mins ago
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Senior Core Infrastructure Engineer
Oracle
Seattle, WA · San Francisco, CA
- $79,200 to $209,500 USD / year
System Design & Architecture - System Scalability:
Added 3 mins ago
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Senior Core Infrastructure Engineer
Oracle
Seattle, WA · San Francisco, CA
- $79,200 to $209,500 USD / year
System Design & Architecture - System Scalability:
Added 3 mins ago
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Pump Solutions Engineer (4095)
Ironclad Powered by Mersino
Auburn Hills, MI · Hopkins, SC · Maryville, TN · Shelby, OH · Michigan City, IN · Omaha, NE · SHAFTER, CA · Polk City, FL
- $70,000 to $120,000 USD / year
…engineered pumping and dewatering systems, from initial bid and system design through…
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The Sales Engineer III serves as a technical resource responsible for developing engineering solutions that support the organization's sales objectives. This role leads the technical and…
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- $107,000 to $150,000 USD / year
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- $200,000 to $250,000 USD / year
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Scientist 1 (Geologist, Environmental Scientist, or Environmental Engineer)
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Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.
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Sr. Test Automation Engineer
Avaya
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We are seeking an experienced test automation engineer to drive end-to-end software quality and operational reliability across our high-scale cloud, contact-center, and real-time…
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Lead Automation Engineer
PPC Partners Inc
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The Automation Engineer Lead is responsible for leading the design, programming, implementation, and commissioning of industrial automation systems for manufacturing and industrial…
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Founding AI Platform Engineer
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Remote, United States
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…
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Software engineering experience from overall system architecture to object-oriented design.
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Design and drive the first implementation, building on Cloud Hypervisor and our Linux microVM runtimes on x86 and arm64.
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Senior System Security Engineer - Endpoint Security
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Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026 · Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday.**
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Principal Software Engineer
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SILTT is on the hunt for an innovative Electrical Engineer with expertise in advanced data center technologies, infrastructure, and telecommunications systems. The ideal candidate will have…
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AECOM is seeking an energetic and motivated ITS/Traffic Operations Engineer to support our services in the areas of traffic engineering, intelligent transportation systems (ITS), and…
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Staff Engineer, Applied ML
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As a Staff Engineer, Applied ML at Circuit, you’ll join Product Engineering and build the machine learning capabilities that power our product. You’ll work closely with Forward Deployed…
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The Controls Engineer designs, programs, troubleshoots, maintains, and optimizes industrial automation systems in a high-volume Tier 1 automotive manufacturing environment. The role…

Zipdev

Founding AI Platform Engineer

Remote, United States

Apply on apply.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.

Requirements

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