Find work in the United States.

A simpler way to find your next job.

Jobs in the United States

25+ jobs

Save this search

Added 1 min ago
Software Engineer [Multiple Position Available]
JPMC page
Tampa, FL
Duties: Design, develop, and implement software solutions to address complex business challenges. Participate in all phases of the Software Development Lifecycle (SDLC), including…
Added 1 min ago
CI
Controls Engineer
Cintal, Inc.
Chillicothe, IL
- $76,000 to $81,000 USD / year
Documentation of software specifications and design review material
Added 2 mins ago
IT Systems and Support Engineer
Saint Joseph's College of Maine
Standish, ME
Saint Joseph’s College of Maine is seeking a dedicated and highly skilled individual for the full-time position of IT Systems and Support Engineer.
Added 2 mins ago
A
Senior II Software Engineer
Akamai
Remote, United States
- $146,400 to $263,600 USD / year
Your responsibilities as a Software Engineer will include the following:
Added 3 mins ago
Staff Site Reliability Engineer
Nexxen
New York, NY
- 8+ years of software development and site reliability or production engineering experience, including a track record of leading reliability initiatives across multiple teams and…
Added 4 mins ago
FH
Water Resources Engineer, Entry Level - WR0024
Felsburg Holt & Ullevig
Greenwood Village, CO
- $72,000 to $85,000 USD / year
Felsburg Holt & Ullevig is seeking an entrepreneurial, self-starting, and energetic entry-level water resources engineer looking to advance their career at a forward-thinking firm focused…
Added 4 mins ago
Automation Engineer
Lhoist North America of Arizona, Inc.
NV
POSITION SUMMARY: The Automation Engineer is responsible for developing, maintaining and supporting process network and control systems for the Lhoist Apex Plant (mining and manufacturing)…
Added 4 mins ago
Senior Silicon Validation & Characterization Engineer
Cirrus Logic
Austin, TX
Build and improve automated lab setups and test software using Python, PXI systems, and bench top (or lab) instrumentation.
Added 4 mins ago
Product Assurance Engineer
Teledyne FLIR Maritime US, Inc.
Jupiter, FL · Field, WI
We are seeking a highly motivated Product Assurance & Design Verification Engineer to join our Marine Electronics Product Development team, based in Jupiter, Fl. This role combines Product…
Added 5 mins ago
Senior Safety Engineer
Samsung Austin Semiconductor, LLC.
Austin, TX
Reporting to the Program Safety lead, the Safety Engineer is responsible for establishing, implementing, managing and continuously improving multiple safety programs for the facility. The…
Added 5 mins ago
Principal Machine Learning Engineer
CVS Shared Services Resources LLC
NY
…the majority of your time designing and building production systems, not just…
Added 5 mins ago
S
Senior Software Engineer
SimpliSafe
Boston, MA
- $117,300 to $156,400 USD / year
5+ years of professional software development experience
Added 5 mins ago
Site Reliability Engineer
Arrive Logistics
Austin, TX
2+ years of experience in systems, software, platform, site reliability, or DevOps engineering
Added 5 mins ago
Senior Software Engineer
Arrive Logistics
Austin, TX
A Senior Software Engineer will work closely with Product Managers, Design, and their Engineering team to create solutions, develop stories, and execute these improvements for Arrive…
Added 6 mins ago
Senior Engineer
Raft Company Website
Fort Bragg, NC
…operational edge. We are looking for an experienced Senior Software Engineer to be embedded with our Army customers at Fort Bragg, serving as Raft’s senior technical presence on the ground:…
Added 7 mins ago
Applied AI Lead Engineer for Banking Technology
Citi
JERSEY CITY, NJ · IRVING, TX · Jersey City, NJ · Irving, TX · Jersey City · Irving
Citi's Banking Technology organization is seeking an exceptional full stack hands-on AI Engineer to lead the design, development, and deployment of cutting-edge AI solutions for the banking…
Added 7 mins ago
L
Staff Engineer, Systems and Reliability
LiteLLM
San Francisco, CA
- $250,000 to $350,000 USD / year
We're looking for a Staff Engineer to own the stability and reliability of the gateway.
Added 7 mins ago
L
Staff Engineer, AI
LiteLLM
San Francisco, CA
- $250,000 to $350,000 USD / year
We're looking for a Staff Engineer to lead our unified API team and make sure every new model and provider works with LiteLLM on day one.
Added 8 mins ago
Junior Software Engineer - Remote
Serco USA
VA
We are seeking a Junior Software Engineer to support our Army PPB BOS contract. The candidate will work with the technical lead and development team to maintain and enhance existing…
Added 8 mins ago
Process Engineer I, Manufacturing
PPC Partners Inc
Greer, SC
Support initiatives to improve digital tools, software systems, and automated processes that reduce inefficiencies and increase productivity.
Added 11 mins ago
Electrical Systems Embedded Software Engineer
General Dynamics Electric Boat
Groton, CT
Department 425, Electrical Systems Embedded Software Engineering, engineers apply software and computer engineering skills to specify, design, develop, integrate, and test, as well as…
Added 12 mins ago
Senior Software Engineer
Intuit
Mountain View, CA
We are seeking a Senior Software Engineer to design, build, and ship features and services in our lead-to-cash domain. This is a hands-on engineering role for someone who writes…
Added 12 mins ago
Tools & Automation Engineer - Early Career
Apple
Sunnyvale, CA
As an entry-level Tools & Automation Engineer, you will contribute directly to the tools and automated test suites that ensure our diagnostic and repair systems meet Apple’s high standards…
Added 14 mins ago
Quality Control Engineer, AWS Integrated Project Quality (IPQ)
Amazon Data Services, Inc.
Herndon, VA
The Quality Control Engineer (QCE) plays an essential role in AWS Data Center Capacity Delivery’s (DCCD) Integrated Project Quality (IPQ) program. This position is responsible for…
Added 14 mins ago
Systems Development Engineer II, US Amazon Dedicated Cloud Security Engineering
Amazon.com Services LLC
Herndon, VA
AWS Security is looking for a driven Systems Development Engineer to build and maintain the automation that enables security assurance at scale. You will work among a larger team to…

RNGD

Lead Applied AI Engineer/Scientist

Metairie, LA, United States

Apply About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Nov 9, 2026

Original job description

About the Company

RNGD is a rapidly scaling organization emerging as a nationally recognized leader in construction through our unique Renegade mindset focused on innovation, creativity, and culture. The team is made up of a highly engaged group of seasoned professionals and emerging leaders. We are creators who believe that what we build drives the growth of our cities and that to fulfill our mission, we must constantly challenge the old way of doing things. Headquartered in New Orleans, Louisiana, we thrive on building communities, building teams, building leaders, and growing the business throughout the Southeast region with additional offices in Mississippi, Tennessee, and Alabama.

About the Role

We’re looking for a Lead Applied AI Engineer/Scientist that will lead the technical design, development, evaluation, and continuous improvement of applied AI systems that solve high-value construction and business problems.

This role is accountable for whether AI agents and machine-learning models achieve defined business targets, not simply whether the technology runs. The Lead Applied AI Engineer/Scientist designs the complete workflow, evaluates performance at each stage, identifies where errors originate, and continuously improves the system until the final output meets established business requirements.

This is a hands-on technical leadership role that sets direction through architecture, experimentation, evaluation standards, and cross-functional influence. The role works across document AI, computer vision, large language models, retrieval, tool-enabled agents, structured outputs, deterministic software, and human-review workflows.

The Lead Applied AI Engineer/Scientist partners with estimators, domain experts, business leaders, data professionals, and software engineers to translate real-world workflows into reliable AI products. Success in this role means AI solutions are measurable, explainable, production-ready, reviewed at the appropriate points, and continuously improved using actual business outcomes.

Core Responsibilities

Business Problem Definition, Data, and Input Readiness

•

Partner with business and domain stakeholders to define use cases, expected outcomes, acceptance criteria, and measurable performance targets.
Audit real-world inputs, including spreadsheets, vector and scanned PDFs, two-dimensional drawings, scales, symbol conventions, revisions, specifications, images, and three-dimensional models.
Define the information required at each workflow stage, identify authoritative data sources, and establish how missing, conflicting, or ambiguous information should be handled.
Identify input-quality issues, workflow dependencies, and technical constraints that may affect model performance or business reliability.
Design data-labeling and validation approaches with domain experts to establish reliable ground truth.
Maintain traceability between source information, intermediate outputs, model decisions, and final business results.
AI Architecture and Workflow Design

•

Architect end-to-end AI agents and machine-learning workflows that connect document understanding, computer vision, large language models, retrieval, tool use, business rules, and deterministic code.
Select the appropriate technical method for each workflow stage based on accuracy, explainability, maintainability, speed, cost, and business risk.
Define structured outputs, data contracts, tool interfaces, orchestration logic, and failure-handling requirements.
Design human-review and approval points that allow domain experts to verify outputs efficiently and focus attention on the highest-risk decisions.
Evaluate build-versus-buy options for models, tools, platforms, and supporting infrastructure.
Conduct feasibility experiments before major technical or financial commitments and communicate findings clearly to business and technical leaders.
Model Development, Evaluation, and Error Analysis

•

Develop and refine models, prompts, retrieval methods, tools, orchestration logic, and supporting data pipelines.
Build benchmark datasets and evaluation pipelines that measure individual workflow stages and end-to-end business performance.
Define meaningful metrics, quality thresholds, test cases, and release criteria based on business requirements.
Perform detailed error analysis to identify where failures originate and distinguish input, model, prompt, orchestration, tool, and process issues.
Prioritize improvements based on business impact, frequency, severity, and implementation effort.
Maintain reproducible experiments, evaluation records, model versions, and technical documentation to support reliable decision-making.
Pilot Delivery, Productionization, and Monitoring

•

Run side-by-side pilots using live projects and compare AI-generated outputs with human work and verified business outcomes.
Analyze pilot results and explain accuracy, limitations, risks, and improvement priorities in clear business terms.
Partner with software and data engineers to convert prototypes into maintainable production code, APIs, workflows, and cloud-based infrastructure.
Establish production-readiness requirements, monitoring controls, fallback procedures, and appropriate human-review mechanisms.
Monitor production accuracy, failure patterns, user corrections, and changing data conditions.
Use actual project results and user feedback to improve future model and workflow performance.
Technical Leadership, Standards, and Responsible AI

•

Set technical direction and standards for experimentation, evaluation, documentation, model release, monitoring, and continuous improvement.
Provide technical guidance, design review, and constructive feedback to engineers, data professionals, vendors, and other contributors supporting AI initiatives.
Make informed recommendations regarding architecture, models, platforms, vendors, and technical investments.
Establish appropriate expectations for data handling, access, traceability, human oversight, and responsible AI use.
Maintain awareness of emerging AI capabilities and assess their relevance to RNGD’s workflows and business priorities.
Balance innovation with production reliability, maintainability, cost, and organizational readiness.
Cross-Functional Partnership and Business Communication

•

Work closely with estimators and other domain experts to understand real workflows, exceptions, review practices, and quality expectations.
Translate business needs into clear technical requirements and technical performance into practical business implications.
Communicate model results, tradeoffs, risks, dependencies, and limitations clearly to technical and non-technical stakeholders.
State candidly when a solution is not yet reliable enough for production use and explain what must improve.
Gather user feedback, identify adoption barriers, and incorporate practical workflow needs into product development.
Align technical priorities with business impact while maintaining realistic expectations regarding AI capabilities and delivery timelines.

Preferred Qualifications

Bachelor’s or advanced degree in computer science, machine learning, data science, engineering, or a related field preferred; equivalent relevant experience may be considered.
Three or more years of experience building applied AI or machine-learning systems delivered to real users, including experience providing technical direction for an AI product.
Hands-on experience with document AI, computer vision, or complex-document processing, including layout analysis, optical character recognition, object or symbol detection, or measurement from images.
Experience building large-language-model agents or multi-step AI workflows involving tool use, orchestration, structured outputs, retrieval, and deterministic components.
Demonstrated experience developing benchmark datasets, evaluation pipelines, error-analysis processes, data-labeling programs, and ground-truth standards.
Strong Python capabilities and experience collaborating on production software, APIs, data pipelines, and cloud-based AI or machine-learning infrastructure.
Experience in construction, engineering, architecture, or manufacturing preferred, particularly involving drawings, estimating workflows, vector PDF parsing, geometric reasoning, vision-language models, or historical cost data.
Ability to explain technical performance, limitations, and recommendations clearly to non-technical stakeholders.

Core Competencies

RNGD Values Alignment

Exemplifies RNGD’s core values:
Renegade Mentality
Sweep Floors
Build Together
Honor Promises
Applied AI Architecture and Technical Execution

•

Designs reliable end-to-end AI systems by selecting and integrating the models, tools, data, deterministic components, and human-review points appropriate to the business problem.
Demonstrates a Renegade Mentality by challenging assumptions, testing emerging approaches, and finding practical ways to solve complex problems.
Evaluation Rigor and Analytical Judgment

•

Uses benchmarks, stage-level metrics, production results, and structured error analysis to determine whether systems meet defined technical and business expectations.
Demonstrates the Sweep Floors mindset by examining the details behind performance, maintaining disciplined documentation, and following failures to their actual source.
Business Impact and Product Ownership

•

Connects technical decisions to measurable business outcomes and prioritizes improvements according to their effect on users, accuracy, risk, cost, and operational value.
Honors Promises by communicating capabilities honestly, setting realistic expectations, and ensuring released systems perform against agreed standards.
Cross-Functional Partnership and Communication

•

Translates effectively between domain experts, business leaders, data professionals, and software engineers while creating shared understanding of requirements and results.
Builds Together by incorporating diverse expertise, communicating clearly, and designing solutions with the people responsible for using and supporting them.
Responsible Innovation and Continuous Improvement

•

Balances experimentation and speed with traceability, human oversight, production reliability, maintainability, and responsible use.
Combines a Renegade Mentality with Honor Promises by pursuing better methods without compromising transparency, quality, or trust.

Apply About employer

More about this job

Skills

Process improvement
Machine learning
Workflow
Documentation
Decision making
Leadership
Communication skills
Computer science
Python
Industrial software
Estimating

Report this job