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Field Service Engineer
Siemens
Kansas City, MO
We are looking for a Field Service Engineer. This position will be based in Kansas.
Added just now
GA
Sr Staff Applications Operations Engineer – Engineering Tools Automation & AI Ops
GE Aerospace
Saint Louis, MO · Kansas City, MO
- $131,000 to $174,000 USD / year
Serve as the senior technical operations authority across engineering application pods (software, hardware and electronic design, and project and portfolio management tools) for US and UK…
Added just now
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Databricks Data Engineer
Eliassen Group
Jefferson City, MO
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
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Cloud Engineer
Eliassen Group
Jefferson City, MO
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 3 mins ago
Cyber Security Analyst/Engineer
First Horizon Bank
RALEIGH, NC · MEMPHIS, TN · Raleigh, NC · Memphis, TN
…across on-prem and cloud environments. You will help secure the software development lifecycle and protect our associates, our clients, and the data that underpins our financial…
Added 18 mins ago
Data Engineer, Analytics (Technical Leadership)
Meta
Washington, DC
Data Engineer, Analytics (Technical Leadership) Responsibilities:
Added 18 mins ago
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Machine Learning Senior Software Engineer
Akamai Technologies, Inc.
Washington, DC
- $121,400 to $218,600 USD / year
As an ML Senior Software Engineer, you will build and operate systems responsible for model validation, quantization, and safety across the AIC. You'll develop pipelines that scan models…
Added 18 mins ago
Cloud Engineer
Maximus
Washington, DC
Maximus is seeking a Cloud Engineer to support a defense client remotely.
Added 18 mins ago
Software Engineer, Machine Learning RecSys
Meta
Washington, DC
Software Engineer, Machine Learning RecSys Responsibilities:
Added 18 mins ago
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Senior Systems Engineer, AM&D Services & Products
Uber
Washington, DC
- $171,000 to $190,000 USD / year
As a Senior Systems Engineer in our Autonomous Mobility & Delivery (AM&D) group, you will play a pivotal role in shaping the future of autonomous transportation at Uber.
Added 18 mins ago
AT
Senior Software Engineer
Akamai Technologies, Inc.
Washington, DC
- $121,400 to $218,600 USD / year
As a Software Engineer Senior, you will be responsible for:
Added 18 mins ago
C
AI Data Engineer
Cognizant
Washington, DC
- $100,000 to $115,000 USD / year
As an AI Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-native data engineering solutions that enable advanced AI-driven applications and…
Added 18 mins ago
Systems Engineer - Active Top Secret Required
General Dynamics Information Technology
Washington, DC
Seize your opportunity to make a personal impact as a Systems Engineer with GDIT. A career in systems engineering means designing and implementing the systems that matter most. We’re…
Added 18 mins ago
Senior Data Scientist/Engineer and Application Developer
Deloitte
Washington, DC
Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
Added 18 mins ago
OneStream Lead Analytics and Insights Engineer II Manager
Deloitte
Washington, DC
3+ years integrating enterprise performance management and corporate performance management platforms with enterprise systems, including enterprise resource planning and data warehouse…
Added 18 mins ago
C
AI Data Engineer
Cognizant
Washington, DC
- $100,000 to $115,000 USD / year
As an AI Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-native data engineering solutions that enable advanced AI-driven applications and…
Added 18 mins ago
EG
Databricks Data Engineer
Eliassen Group
Washington, DC
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 18 mins ago
EG
Cloud Engineer
Eliassen Group
Washington, DC
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 23 mins ago
G
Sr. Electrical Engineer (PE)
GPAC
Tampa, FL
- $110,000 to $140,000 USD / year
We are partnering with a well-established, employee-focused engineering consulting firm seeking a Senior Electrical Engineer to join its growing MEP team. This opportunity is ideal for an…
Added 27 mins ago
KE
Electrical Engineer III - Utilities and Central Energy
KFI Engineers
Louisville, KY
- $7.25 USD / hour
The Electrical Engineer III plays a key role in the successful execution of projects from start to finish. This individual will provide technical and engineering excellence, as well as…
Added 27 mins ago
Sr. Systems Integration Engineer – IVI, OTA & Diagnostics Software
Ford Motor Company
Louisville, KY
5+ years of experience in automotive embedded/vehicle software or high-volume manufacturing integration, with direct exposure to IVI, telematics, or connected vehicle systems
Added 27 mins ago
EG
Databricks Data Engineer
Eliassen Group
Frankfort, KY
- $150,000 to $154,000 USD / year
Our client seeks a Databricks Data Engineer to design, build, and maintain scalable, reliable, and secure data pipelines, infrastructure, and systems that support consulting services and…
Added 27 mins ago
EG
Cloud Engineer
Eliassen Group
Frankfort, KY
- $70 to $88 USD / hour
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts…
Added 37 mins ago
DM
Senior Manufacturing Engineer
Davis Machine
Euless, TX
- $80,000 to $120,000 USD / year
The Senior Manufacturing Engineer leads manufacturing planning from quoting through production release. This role uses hands-on machine shop experience and knowledge of equipment…
Added 1 hour ago
Experienced or Senior Mission Assurance Engineer
The Boeing Company
Berkeley, MO
The Boeing Defense Air Dominance Division Systems Safety & Mission Assurance organization is looking for a Mission Assurance Engineer in Berkely or Hazelwood, Missouri.

Emergence AI

AI Engineer - Prototyping

Irvine, CA, United States

Compensation Range: $180K - $250K

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Job details

Pay: Compensation Range: $180K - $250K
Experience: 3+ years of professional software engineering experience building production software.
Posting language: English
Posted: Nov 7, 2026

Original job description

About Emergence AI

Emergence AI is a frontier agentic AI lab advancing safe, autonomous AI through its pioneering neuroformal architecture. We are building the next generation of enterprise AI: systems capable of understanding complex knowledge, reasoning across information, executing multi-step workflows, and taking action with the verifiability and reliability required for mission-critical environments.

Our Enterprise Agent Platform provides the foundation for building, deploying, and operating AI systems in production - from data connectivity and knowledge management to workflow orchestration, observability, evaluation, and governance. We partner with organizations in semiconductor manufacturing, life sciences, and other data-intensive industries to solve complex challenges that require trusted AI systems capable of operating in real-world environments.

Our team brings experience from leading AI research labs and technology companies, including IBM Research, The Allen Institute for AI, Amazon, and Broadcom. With headquarters in New York and offices across California, Spain, and India, we bring together diverse expertise and perspectives to tackle some of the most challenging problems in enterprise AI.

About the Role

As an AI Engineer at Emergence AI you'll build customer-facing platform capabilities and AI-powered solutions that solve real business problems. You'll work directly with Product Management, Customer Success, and enterprise customers to rapidly understand problems, ship production-quality software, and evolve customer-specific solutions into reusable platform capabilities.

We're looking for engineers who are AI-native, curious, and passionate about building. AI isn't a novelty, it's how you build. You use AI to accelerate implementation while remaining accountable for architecture, engineering quality, and customer outcomes. We care far more about engineering judgment, ownership, and the ability to learn than expertise in any specific programming language or framework.

You'll

Bring software engineering excellence, product thinking, and an AI-native builder mindset to solve challenging problems at the intersection of enterprise software and AI, including:

Building customer-facing capabilities across our Enterprise Agent Platform, including agent orchestration, workflow execution, enterprise integrations, knowledge management, and administration.
Developing production-ready AI workflows and reusable platform services that power enterprise solutions across multiple industries.
Designing trusted AI capabilities including evaluation, verification, observability, provenance, and human-in-the-loop workflows that enable customers to confidently deploy AI in production.
Building intuitive developer and user experiences that simplify how enterprise customers create, configure, and operate AI agents.
Working directly with enterprise customers to understand their business problems, rapidly prototype solutions, and turn successful implementations into reusable platform capabilities.

Enterprise Agent Platform

Build the core platform that enables customers to create, configure, deploy, and operate AI agents securely at enterprise scale. Develop capabilities including agent orchestration, workflow execution, context management, memory, governance, authentication, and enterprise integrations.

Industry AI Solutions

Partner with customers in semiconductor manufacturing, life sciences, and other industries to build production-ready AI workflows that automate complex business processes. Transform customer-specific solutions into reusable platform capabilities that benefit every customer.

Trusted AI Platform

Design and implement the systems that make enterprise AI trustworthy, including evaluation frameworks, verification pipelines, policy enforcement, audit trails, observability, provenance, and human-in-the-loop workflows.

Data & Knowledge Platform

Build the capabilities that connect to enterprise data sources, discover schemas and semantic relationships, manage enterprise knowledge, and provide AI agents with the context needed to reason accurately over complex business data.

Agent Runtime & Workflow Engine

Develop the runtime that powers long-running AI workflows, managing execution state, retries, approvals, checkpoints, memory, and multi-agent coordination while ensuring reliability and transparency.

Build Enterprise AI Products

Design, build, and ship customer-facing capabilities across the Enterprise Agent Platform.
Own features from concept through production, balancing customer needs with long-term platform architecture.
Build high-quality software across the full stack, leveraging AI development tools to dramatically accelerate delivery while maintaining engineering excellence.
Make thoughtful engineering decisions around APIs, architecture, scalability, security, performance, and maintainability.

Partner with Customers

Work directly with Product Management, Customer Success, and enterprise customers to understand business problems and translate them into software.
Participate in customer workshops, technical discussions, solution design, and production deployments.
Rapidly iterate on customer feedback and evolve successful implementations into reusable platform capabilities.
Balance speed of delivery with building a platform that scales across customers and industries.

Build Trusted AI Systems

Design production-grade AI workflows with robust error handling, retry mechanisms, observability, auditability, and human-in-the-loop execution.
Build systems that are measurable, testable, debuggable, and reliable in production.
Continuously improve platform quality through evaluation, monitoring, automation, and customer feedback.

Raise the Engineering Bar

Establish engineering best practices, reusable patterns, testing standards, and high-quality software engineering practices.
Continuously evaluate emerging AI technologies and adopt those that meaningfully improve engineering productivity and customer value.
Challenge assumptions, simplify complexity, and continuously improve how software is designed and built.

You'll Have

3+ years of professional software engineering experience building production software.
AI-native engineer who uses Claude Code, Cursor, Codex, or similar AI development tools as part of your daily engineering workflow. AI is how you build not simply a tool you occasionally use.
Strong software engineering fundamentals with experience building production backend services, APIs, distributed systems, cloud applications, or developer platforms.
Comfortable working across the stack, whether frontend, backend, infrastructure, or cloud services. You learn new languages and frameworks quickly and choose the right technology for the problem.
Experience building and shipping software used by real customers in production environments.
Strong problem-solving skills, sound engineering judgment, and the ability to navigate ambiguity.
Excellent communication skills and the ability to collaborate effectively with customers, product managers, designers, and engineers.
Self-driven, curious, and comfortable taking ownership in a fast-moving startup environment.

Bonus Points

Experience building AI agents, agentic workflows, or enterprise AI applications.
Experience with LLMs, tool calling, RAG, context engineering, memory systems, or multi-agent orchestration.
Experience designing workflow engines, orchestration platforms, or distributed systems.
Experience integrating enterprise data sources such as databases, data warehouses, SaaS applications, APIs, or document repositories.
Experience building developer tools, internal platforms, or engineering productivity systems.
Familiarity with Rust, Go, TypeScript, Python, or other modern programming languages.
Experience with cloud-native platforms, Kubernetes, observability, distributed tracing, or production operations.
Demonstrated curiosity, rapid learning, and a passion for solving difficult engineering problems.

Emergence AI offers competitive compensation. Comprehensive health benefits including medical, dental and vision. 401(k) with company match. Flexible PTO and company holidays. Flexible hybrid/remote work environment. The opportunity to work at the forefront of technological advancement.

Compensation Range: $180K - $250K

Emergence AI is an equal opportunity employer committed to building an inclusive workplace where people with diverse backgrounds, experiences, and perspectives can do their best work. We believe building trustworthy AI requires diverse ways of thinking, and we're committed to creating an environment where everyone can thrive.

If you're excited about this opportunity but don't meet every qualification, we encourage you to apply. We value curiosity, ownership, and the ability to learn just as much as matching every item on a job description.

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More about this job

Skills

Workflow
Research
Business processes
Industrial software
Problem solving
Communication skills
Rust
Go
TypeScript
Python
Programming languages
Kubernetes

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