Jobs in the United States

25+ jobs

Added just now
E T Consultant
World Bank Group
Washington, DC
ITSFE is seeking a skilled and experienced Solution Engineer to join our growing team as an ET Consultant. The Solution Engineer will design, build, enhance, and support web-based solutions…
Added 2 mins ago
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Software Engineer Lead
Jobgether
Remote, United States
- $105,000 to $135,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer Lead based in the United States.
Added 6 mins ago
O
Senior Network Developer
Oracle
Seattle, WA · Nashville, TN · Redwood City, CA · Santa Clara, CA · Reston, VA
- $91,400 to $187,000 USD / year
As a Sr Network Development Engineer, you will be responsible for helping design, build, test, deploy and operate highly scalable solutions to support Oracle’s next-generation Cloud…
Added 11 mins ago
Full Stack Java Engineer
Miratech
Remote, United States
We are looking for a Full Stack Engineer to design, develop, and support scalable cloud-native applications that power Workforce Management (WFM), Customer Experience (CX), and operational…
Added 21 mins ago
Data Center Electrical Engineer
Google
Bridgeport, CT
Experience working with data center equipment and environments (e.g., switchgear, generators, transformers, controls, security monitoring systems, fire safety systems), with a strong…
Added 25 mins ago
EG
Workday Adaptive Planning Engineer
Eliassen Group
Cheyenne, WY
- $65 to $75 USD / hour
Our client is seeking a Workday Adaptive Planning Engineer to design, build, and maintain financial planning and forecasting solutions. The role partners with FP&A, Accounting, and Finance…
Added 26 mins ago
Mainframe Storage Engineer (Entry Level)
CGI
Durham, NC
CGI Federal is seeking a Mainframe Storage Engineer to support the Social Security Administration (SSA) in maintaining and enhancing its enterprise mainframe storage environment. The…
Added 31 mins ago
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Member of Technical Staff, Product Security
Inferact
San Francisco, CA
- $200,000 to $400,000 USD / year
…product, and forward-deployed engineering teams, and with the engineer who owns vLLM vulnerability management when an upstream issue affects our product. You'll set the direction for…
Added 34 mins ago
Staff Machine Learning Engineer（Risk Intelligence/AI Agent）
OKX
San Jose, CA
…fundamentally different from conventional ML engineering. The data spans on-chain activity, fiat deposits and withdrawals, trading behaviour, account access patterns, device intelligence,…
Added 35 mins ago
SentinelOne Engineer
Jobgether
Remote, United States
The SentinelOne Engineer will play a critical role in managing, securing, and optimizing advanced endpoint detection and response capabilities across mission-critical environments. In this…
Added 35 mins ago
Senior Software Engineer - Cloud SaaS - IE&A
Jobgether
Remote, United States
…and next steps. Our partner is looking for a Senior Software Engineer – Cloud SaaS – IE&A based in the United…
Added 35 mins ago
Senior Knowledge Engineer
Jobgether
Remote, United States
The Senior Knowledge Engineer will play a key role in transforming complex clinical and healthcare specifications into structured, accessible, and actionable data queries. In this position,…
Added 35 mins ago
Cloud Security Engineer
Jobgether
Remote, United States
The Cloud Security Engineer will play a key role in strengthening and maintaining security across enterprise cloud environments, with a primary focus on AWS and Microsoft Azure, alongside…
Added 43 mins ago
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Elasticsearch Engineer *No C2C*
TEKsystems
Lincoln, MA
- $120,000 to $250,000 USD / year
Experience managing Elasticsearch index lifecycle policies, index templates, and data streams at scale, and building Kibana dashboards, visualizations, and lens-based analytics for security…
Added 44 mins ago
Senior Technical Engineering Leader - Guidewire PolicyCenter & Policy Lifecycle
MAPFRE Insurance
Webster, MA
Drive technical decision-making while balancing business priorities, scalability, security, maintainability, and operational excellence.
Added 44 mins ago
Product Definition Engineer - Designer
GE Aerospace
Lynn, MA
…sections, 3D models, tolerance, stack-ups, and various electronic data formats to support analysis, manufacturing, assembly, and inspection. This role will also determine dimensional…
Added 44 mins ago
QA Engineer- INDIA
Insight Global
Westborough, MA
We are looking for a strong QA Engineer to join our team! This role is responsible for supporting the Test Engineering team in the planning, development, and maintenance of a comprehensive…
Added 44 mins ago
Senior Ellucian Technical and Integrations Engineer
State of Massachusetts
Boston, MA
Added 45 mins ago
EG
Workday Adaptive Planning Engineer
Eliassen Group
Boston, MA
- $65 to $75 USD / hour
Our client is seeking a Workday Adaptive Planning Engineer to design, build, and maintain financial planning and forecasting solutions. The role partners with FP&A, Accounting, and Finance…
Added 46 mins ago
AI Solutions Engineer
ISACA
Remote, United States
The AI Solutions Engineer is responsible for the development, integration, implementation, and maintenance of large language model (LLM) applications used to support internal business…
Added 1 hour ago
Process Controls Engineer
Love's Travel Stops & Country Stores
Hastings, NE
Welcome to Heartwell! We are looking for a Process Controls Engineer to design,maintain, troubleshoot, and optimize process controls and automate systems to ensure safe, reliable, and…
Added 1 hour ago
Staff Software Engineer, Cloud ML Compute Services
Google
Kirkland, WA
…distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is…
Added 1 hour ago
BIOLOGICAL SCIENTIST (ENVIRONMENTAL)
Air Combat Command
Luke AFB, AZ
Added 1 hour ago
Systems Engineer - Level 5 IPT Lead
Northrop Grumman
Chandler, AZ
Northrop Grumman Space Systems has an opening for a Systems Engineer - Level 5 to join our team of qualified, diverse individuals at our Chandler, AZ site .
Added 1 hour ago
Energetics Lead Engineer Propulsion – Level 4: Active Secret Clearance
Northrop Grumman
Chandler, AZ
The Mechanical Engineering & Energetics team is hiring an Energetics Lead Engineer Propulsion – Level 4: Active Secret Clearance professional at our Chandler, AZ location.

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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