Jobs in the United States

25+ jobs

Added just now
Member of the Technical Staff - Product Engineering
Probook
New York City, NY
…high-touch workflows around-the-clock, Probook ensures a consistent customer experience without the need for 24/7 live staffing. We unify our customers' processes into a single, scalable…
Added just now
S
Technical Support Engineer
Slide
Remote, United States
- $80,000 to $100,000 USD / year
We are seeking a Technical Support Engineer with deep expertise in BCDR solutions to support Slide's MSP partners in resolving complex technical challenges. In this role, you'll serve as a…
Added just now
N
Software Engineer, VOD
NBCUniversal
New York, NY
- $105,000 to $145,000 USD / year
The VOD Engineering team is looking for a Software Engineer to join our engineering team responsible for building and supporting business critical video workflows, systems, and…
Added just now
Project Field Engineer- Civil
Lemartec
Pontoon Beach, IL
The Civil Project Engineer is responsible for providing technical engineering information to the Project Manager, Craft Supervisors, and Corporate Functional Managers to ensure design…
Added 1 min ago
Project Environmental Engineer, Scientist, Geologist / Project Manager
Langan Engineering & Environmental Services
Princeton, NJ
Langan is seeking a Project Environmental Engineer, Scientist, Geologist / Project Manager join its collaborative team Princeton, NJ. This individual will serve a key function in managing…
Added 1 min ago
Operations Performance Engineer
ROHM & HAAS CHEMICALS LLC
Bristol, PA
Dow has an exciting opportunity for an Operations Performance Engineer located in Bristol (PA, USA).
Added 1 min ago
Operations Performance Engineer
ROHM & HAAS CHEMICALS LLC
Knoxville, TN
Dow's Emulsions/Polymers production facility in Knoxville, TN has an opening for an Operations Performance Engineer.
Added 2 mins ago
Senior Solutions Specialist
TensorWave
Las Vegas, NV
- Compare pricing and structure options against Finance's guidelines, and show the seller what each option does for the customer and for TensorWave.
Added 2 mins ago
Quality Engineer TX
SolarEdge
Austin, TX
…everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry…
Added 2 mins ago
AWS Sales Executive
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 2 mins ago
Federal Sales Director - CRM Sales
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 2 mins ago
Federal Data and Analytics Sr Sales Executive
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 2 mins ago
ML Engineer
ServiceNow
Santa Clara, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 2 mins ago
Sr. Systems Reliability Engineer
TECHTRONIC CORDLESS GP
Brookfield, WI
The Sr. Systems Reliability Engineer will provide technical leadership in the development, validation, and reliability of complex product systems that integrate electrical hardware,…
Added 2 mins ago
Staff Software Development Engineer
CVS Shared Services Resources LLC
Remote, United States
…world. Currently, we are seeking a Staff Software Development Engineer with deep, hands‑on experience building and operating backend, platform, and integration services at scale. In this…
Added 2 mins ago
Information Security Consultant – Employee Experience Technology (EET)
Bank of America, National Association
WA
Professional certifications such as Security+, CISSP Associate, CISM, CRISC, Azure Security Engineer, or similar cybersecurity credentials.
Added 2 mins ago
Senior Solutions Engineer, Enterprise (Mountain/Pacific Regions)
Motive
Remote, United States
As a Senior Solutions Engineer on our Enterprise team, you’ll play a key role in driving successful outcomes for Motive’s Enterprise customers. You’ll partner closely with Account…
Added 3 mins ago
Manager, Renewable Development
Invenergy LLC
Denver, CO
Bachelor’s in Business or Engineer, Master’s Degree or MBA is a plus
Added 3 mins ago
Cyber Engineer - Level 2
Archarithms Inc
Huntsville, AL
We are seeking a skilled Cyber Engineer to support cloud and container security operations onsite. This role focuses on securing Infrastructure-as-a-Service (IaaS) environments,…
Added 4 mins ago
IT Observability Engineer Senior
Cummins Talent Acquisition
Columbus, IN
…architectures, patterns, and system interactions that deliver customer value and align with enterprise standards and subject-matter…
Added 4 mins ago
Maintenance Tech 2
Sheraton Imperial Hotel & Convention Center
Durham, NC
Assist the Chief Engineer with building and grounds projects.
Added 4 mins ago
Senior Cyber Software Engineer
STR
Woburn, MA
The Defensive Cyber Technologies (DCT) group at STR is seeking a Senior Cyber Software Engineer to develop software and technical capabilities that improve the security and resiliency of…
Added 5 mins ago
Quality Engineer
nLIGHT
Camas, WA
The Quality Engineer is responsible for establishing, maintaining, and leading improvements in customer quality, internal quality, and supplier quality. They ensure requirements are met,…
Added 5 mins ago
Senior Lead Software Engineer - Security Platforms
JPMC page
Jersey City, NJ · Brooklyn, NY · Columbus, OH · Plano, TX · Tampa, FL · NY
As a Senior Lead Software Engineer at JPMorganChase within Consumer & Community Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted…
Added 5 mins ago
Skillbridge: Sr Prin Systems Engineer Intern
RTX
United States

Core Engineer - Software / Applied AI (Multiple Levels)

Denver, CO, United States

This role may be filled at the Senior or Staff level, with a base salary range of $130,000–$155,000 (Senior) or $160,000–$185,000 (Staff).

Apply About employer

Applications open in a new tab.

Job details

Pay: This role may be filled at the Senior or Staff level, with a base salary range of $130,000–$155,000 (Senior) or $160,000–$185,000 (Staff).
Posting language: English

Original job description

The Opportunity We’re looking for a Core Engineer focused on Software / Applied AI to build the production AI capabilities that make our edge platform scalable, reliable, and repeatable. You’ll own core pieces of our private AI platform - agentic and multi-agent systems, repeatable AI structures, evaluation and reliability mechanisms, and platform capabilities like auto fine-tuning and runtime optimization of infrastructure and models. This work operates within clear industrial production boundaries: AI can suggest and act only within well-defined limits, and we do not ship AI behavior into industrial production without evaluation, clear ownership, and a way to roll back. You’ll partner with data and infrastructure teams for requirements and feedback, then generalize learnings into platform capabilities that scale across deployments. This is a hands-on role for someone who thrives in a high-ownership setting and wants to build the infrastructure that makes real-world AI possible. What You’ll Do

Build and operate production AI capabilities including agentic and multi-agent workflows, tool calling, orchestration, and repeatable patterns that scale.
Design and implement evaluation, monitoring, and quality systems that make AI behavior measurable, reliable, continuously improving, and safe in production.
Build platform capabilities for private AI, including auto fine-tuning workflows, model/runtime optimization, and performance improvements for inference under real constraints.
Implement safety and operational controls so AI behavior is bounded and production-ready, including policy constraints, approval workflows, auditability, and rollback mechanisms.
Develop pragmatic interfaces and APIs that make AI capabilities easy to integrate across platform services and customer environments.
Improve developer velocity through automation and tooling, using AI tools to accelerate implementation, tests, documentation, and iteration loops, then refining with engineering judgment.
Partner with data and infrastructure teams to ensure the right context reaches inference and agent workflows with predictable latency, reliability, and cost.
For senior roles: mentor engineers, review designs, and raise the technical bar across the organization.

What Success Looks Like

In your first 3 months, you will have:

Shipped at least one production AI capability (agents, evaluation, fine-tuning, or runtime optimization) that improves platform reliability, performance, or usability.
Established a strong evaluation and rollback model for at least one AI workflow operating within industrial production boundaries.
Earned trust through autonomy and execution - becoming a go-to owner for production AI platform capabilities.

In your first year, you will be:

Owning major components of the private AI platform end-to-end, with clear accountability for reliability, performance, and platform adoption.
Shipping repeatable AI structures that compress adoption cycles and scale across deployments (evaluation, guardrails, orchestration, optimization, operational playbooks).
Driving platform evolution through product enhancements grounded in real-world constraints and measurable outcomes, with safe rollout and rollback as a default.

Who You Are

6+ years building and operating production software systems; experience shipping AI-enabled platforms or agentic systems is strongly preferred.
Strong fundamentals in distributed systems, performance, and reliability; comfort owning production services end-to-end (e.g., Docker/Kubernetes deployments, APIs via REST/gRPC, and strong production discipline around rollout and rollback).
Experience building evaluation frameworks, monitoring, and safety/guardrail systems that enable controlled AI behavior in production (e.g., automated eval harnesses, drift/quality monitoring, tracing, and structured telemetry).
Strong engineering craft: clean implementations, thoughtful designs, operational clarity, and strong documentation (e.g., Python and/or TypeScript/Go, FastAPI-style services, and effective testing practices).
Comfort working in ambiguity and making sound trade-offs under real constraints (latency, cost, GPU utilization, and reliability).
Clear communicator and strong collaborator across engineering and commercial teams.
Ownership mindset: outcomes over tasks.

Unique Experiences We Value

Production experience building agentic and multi-agent systems, orchestration layers, and evaluation frameworks with clear reliability goals (e.g., tool calling, workflow orchestration, and evaluation loops that are measurable and repeatable).
Experience designing repeatable AI structures (tool calling, memory/state patterns, policy constraints, safety/guardrails) that can be reused across applications and deployed through stable APIs.
Building fine-tuning workflows and runtime optimization systems for private AI deployments, including performance and cost trade-offs (e.g., inference optimization, batching/caching, GPU efficiency, and vLLM-style serving).
Experience building monitoring and quality systems for AI behavior that enable measurable improvement over time and safe rollback (e.g., offline/online evaluation, tracing, structured logs, metrics, and incident-driven iteration).
Strong systems instincts across data, infrastructure, and security constraints that impact AI in production (e.g., event/data systems like Kafka, operational stores like Postgres/time-series databases, and secure deployment patterns).

Benefits

We work in a high-ownership, real-world startup environment where you’ll move fast, build new systems, and see your impact immediately - what you ship runs in the field and drives measurable customer outcomes.
We work alongside AI every day. Writing static code, docs, or plans “by hand” is no longer accepted - here you’ll use the latest AI tools to iterate and ship faster and to apply AI with our customers at scale.
You’ll take on elite technical challenges at the frontier of infrastructure, including next-generation cloud and IoT, hardware/software/networking in real-world edge environments, the foundation for data and AI inference, and industry-leading secure systems in demanding operational (OT) settings.
You’ll learn fast by working with exceptional teammates and collaborating directly with industry leaders as partners in software, AI, and infrastructure.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. This role may be filled at the Senior or Staff level, with a base salary range of $130,000–$155,000 (Senior) or $160,000–$185,000 (Staff).
Total compensation for this role includes equity in your work. You are eligible for meaningful equity through stock options in an early-stage, high-growth company.
You are eligible to participate in company benefit plans, which may include health, dental, and vision coverage, a 401(k) with company match, flexible PTO, paid parental leave, commuter benefits, and relocation and visa support for eligible roles.

Edgescale AI At Edgescale AI, we’re deploying AI in the real world - helping customers apply this technology to unlock transformative productivity gains. Our work sits at the intersection of infrastructure, security, networking, and AI, where reliability and performance are non-negotiable and where solutions demand deep, distributed systems thinking. We’re intensely AI-native. We build with AI, we ship AI, and we use it every day to accelerate how we design, test, deploy, and operate complex systems. If you want to help pave the application of AI in the real world, at global scale, we want to hear from you. Edgescale AI is building an inclusive, merit-based organization. We are an equal opportunity employer and do not discriminate on any legally protected status. We value diversity, inclusion, and a shared passion for creating real-world impact.

Apply About employer

Report this job