Jobs in the United States

25+ jobs

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Security Integration Engineer
IK Systems
Hawesville, KY
- $110,000 to $140,000 USD / year
IK Systems is seeking a Systems Integration Engineer to configure, integrate, and commission enterprise security and low-voltage systems for mission-critical clients. This role serves as…
Added just now
Research Engineer, Robotics - Roboticist
The Allen Institute for Artificial Intelligence
Seattle, WA
…logging, monitoring, deployment and operator-facing tools, so the platform scales across robots, tasks and…
Added 1 min ago
Lead Developer Enablement Engineer (Apple Infrastructure)
Vertiv
Westerville, OH · Indianapolis, IN
Vertiv is seeking a Lead Developer Enablement Engineer (Apple Infrastructure) to architect, deploy, and govern secure, enterprise-grade Apple infrastructure. This role is responsible for…
Added 1 min ago
Cloud Architect-Forward Deployed Engineer (FDE)
Oracle
St. Louis, MO
Oracle Government Defense & Intelligence has an exciting opportunity for a Principal / Master Principal Cloud Architect-Forward Deployed Engineer (FDE)
Added 3 mins ago
Forward Deployed Engineer
DigiCert
Remote, United States
Prior forward-deployed engineering, product management, or early-engineer experience.
Added 3 mins ago
Applications Engineer
FLSmidth Inc.
United States
The Applications Engineer role is an entry level position in which successful candidates undergo a long-term training program under the Pumps, Cyclones, and Valves Products team to learn…
Added 3 mins ago
Advanced Process Support Engineer, Pumps/Cyclones/Valves
FLSmidth Inc.
United States
As an Advanced Process Support (APS) Engineer, you will provide process-focused technical support for FLSmidth's Pumps, Cyclones & Valves (PCV) business, helping customers improve mineral…
Added 3 mins ago
Senior Software Engineer
Raydar
Remote, United States
- Hands-on experience building customer-facing product features rather than internal platform or infrastructure work.
Added 4 mins ago
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Engineer, Electrical Design - Graduate Development Program
Celestica International LP
Maple Grove, MN
- $65,000 to $75,000 USD / year
With deep expertise in design, engineering, manufacturing, supply chain management and platform solutions, Celestica enables critical data center infrastructure for AI, cloud, and hybrid…
Added 5 mins ago
Staff Software Engineer, Android
Archer
San Jose, CA
…aerospace sector building an end-to-end advanced air mobility platform that delivers air taxis, unmanned aircraft systems (“UAS”), aviation-related physical artificial intelligence (“AI”)…
Added 7 mins ago
Senior Vice President, Infrastructure Engineering (Mainframe Communications Systems Software Engineer
ewminds consulting Services
Jersey City, NJ
(SVP) Senior Vice President, Infrastructure Engineering (Mainframe Communications Systems Software Engineer)
Added 7 mins ago
Vice President – Full Java Stack Engineer
ewminds consulting Services
New York, NY
The Vice President, Project Manager is responsible for leading client onboarding, platform implementation, and strategic enhancement initiatives for BNY Archer Managed Account Services…
Added 7 mins ago
Senior Forward Deployed Engineer (FDE Lead
ewminds consulting Services
East Pittsburgh, PA
Lead a portfolio of forward-deployed engineering engagements across business and platform domains; define priorities, allocate resources, and ensure delivery of measurable outcomes within…
Added 7 mins ago
Full Stack Engineer
ewminds consulting Services
Clairton, PA
· Own platform resiliency: vulnerability management, compliance to enterprise resiliency initiatives, root-cause analysis, problem management, and continuous service improvement
Added 7 mins ago
Senior Pre-Sales Infrastructure/Network Design Engineer
ewminds consulting Services
New York, NY
Dashboard and Platform Optimization: Improve dashboard usability, information presentation, navigation, and consistency across complex applications.
Added 7 mins ago
Vice President – Full Java Stack Engineer
ewminds consulting Services
Pittsburgh, PA
We are seeking a Vice President – Full Stack Engineer to join a mission-critical engineering team supporting a high-performance, regulated enterprise platform. This is a hands-on…
Added 8 mins ago
Lead Software Engineer - ServiceNow
JPMC page
San Francisco, CA
As a Lead Software Engineer at JPMorganChase within the Infrastructure Platform ServiceNow IT Service Management , you are an integral part of an agile team that works to enhance, build,…
Added 8 mins ago
Automation Engineer
Unisys Corporation
Remote, United States
We are seeking a motivated Automation Engineer with 3-5 years of experience to identify and eliminate repetitive manual work across our Steady State teams (Windows, Linux, Storage, and…
Added 8 mins ago
Automation Engineer
Unisys Corporation
Remote, United States
We are seeking a motivated Automation Engineer with 3-5 years of experience to identify and eliminate repetitive manual work across our Steady State teams (Windows, Linux, Storage, and…
Added 9 mins ago
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Forward Deployed Engineer (FDE), Life Sciences - SF
OpenAI
San Francisco, CA
- $185,000 to $300,000 USD / year
…We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across…
Added 9 mins ago
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Forward Deployed Engineer (FDE), Life Sciences - NYC
OpenAI
New York, NY
- $185,000 to $300,000 USD / year
…We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across…
Added 9 mins ago
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Principal Engineer, Salesforce
AbbVie
North Chicago, IL
- $124,500 to $236,500 USD / year
AbbVie US Commercial Business Technology Solutions (BTS) is seeking a Principal Engineer, Salesforce to join the Patient Services & Consumer Marketing Technology Services and Architecture…
Added 11 mins ago
Service Management Platform Engineer
Compeer Financial
Bloomington, IL · Lakeville, MN · Sun Prairie, WI · Mankato, MN
…and supports the organization's enterprise service management platform and related workflow, automation, integration, reporting, and configuration-data capabilities. Independently…
Added 11 mins ago
Staff Technical Program Manager, IT Audit & Governance
MongoDB
Austin, TX
…influence without authority, and can speak credibly with an engineer about a CI/CD pipeline and with the CAO about a…
Added 11 mins ago
Site Reliability Engineer (Associate - Senior Level/Multiple Positions)
Mile Two, LLC
Dayton, OH
Deep, hands-on experience specifically within Google Cloud Platform.

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).

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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.

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