Jobs in the United States

25+ jobs

Added 4 mins ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Indianapolis, IN
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 6 mins ago
J
Sr. Systems Engineer – AI Gateway Platform
Jobgether
Remote, United States
- $125,000 to $180,000 USD / year
…applications and next steps. Our partner is looking for a Sr. Systems Engineer – AI Gateway Platform based in the United…
Added 20 mins ago
Staff Machine Learning Engineer - Edge AI
Samsara
Remote, United States
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT)…
Added 21 mins ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Montgomery, AL
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 26 mins ago
Senior Software Developer - Environmental Services
Burns & McDonnell
Kansas City, MO
…in-depth analysis of software errors, identify root causes and engineer robust solutions to improve application stability and performance. The role will also provide comprehensive status…
Added 32 mins ago
Snr Cybersecurity Consultant Engineer (Architecture, Infrastructure and Remediation)
LevelBlue LLC
United States
Primary platform: Microsoft Sentinel (analytic rule design and build). Additional SIEM experience (Splunk or SentinelOne AI SIEM) is valued. This is not a monitoring-only or general cyber…
Added 33 mins ago
Senior Full Stack Software Engineer – AI/ML
HTC Global Services Inc
Dearborn, MI
We are seeking a Senior Full Stack Software Engineer with experience in building, developing, and deploying scalable software applications and AI-powered solutions. The ideal candidate will…
Added 34 mins ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Lansing, MI
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 35 mins ago
Staff Software Engineer, AI Model Lifecycle
Crusoe
San Francisco, CA · Sunnyvale, CA
The Senior Staff Software Engineer for the AI Model Lifecycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle,…
Added 39 mins ago
J
Security Engineer, Vulnerability Management
Jobgether
Remote, United States
- $200,000 to $300,000 USD / year
The Security Engineer, Vulnerability Management will build and operate a comprehensive vulnerability management and security operations program for a growing technology platform. In this…
Added 44 mins ago
Staff Mobile Engineer - Promo
Hard Rock Digital
Remote, United States
We’re looking for a Staff Mobile Engineer to own technical direction for mobile experiences within the Promos domain, working within our shared React Native platform and contributing to…
Added 50 mins ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Boise, ID
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 1 hour ago
Technical Support Engineer (CS)
Jobgether
Remote, United States
The Technical Support Engineer will play a key role in helping enterprise customers successfully adopt and operate a platform that connects AI agents and human users with business systems…
Added 1 hour ago
Engineering Manager - Property Management
TheGuarantors
New York, NY
The Engineering Manager, Property Management will lead the team that owns the core platform capabilities powering property management workflows across TheGuarantors including core property…
Added 1 hour ago
Software Verification Engineer
NVIDIA Corporation
North District, IL
NVIDIA is looking for an outstanding Software Verification Engineer for our Linux Drivers group. You'll closely work with NVIDIA Driver developers, verification teams, and performance…
Added 1 hour ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Juneau, AK
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 1 hour ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
Join an early-stage B2B SaaS team building an AI-powered revenue platform for enterprise customers. You will lead technical deployments from data discovery through production workflows,…
Added 1 hour ago
O
Principal Backend Developer - Clinical Applications
Oracle
Jefferson City, MO
- $114,600 to $234,600 USD / year
Oracle Health is building the next generation of healthcare technology through our Gen2 Electronic Health Record (EHR) platform. We are seeking a highly skilled Principal Software Engineer…
Added 1 hour ago
J
Vice President, Cloud Platform Engineer
Jobgether
Remote, United States
- $150,000 to $175,000 USD / year
…next steps. Our partner is looking for a Vice President, Cloud Platform Engineer based in the United…
Added 1 hour ago
Senior Staff Software Engineer, Android & IoT
Jobgether
Remote, United States
This is a senior technical leadership opportunity for an experienced software engineer to shape the architecture and evolution of products that support large-scale connected device…
Added 1 hour ago
O
Senior Principal Oracle Health Systems Engineer - HIE
Oracle
Jefferson City, MO
- $103,000 to $264,100 USD / year
Seeking a highly experienced Senior Principal Systems Engineer to provide technical leadership in the design, operation, maintenance, optimization, and strategic evolution of Health…
Added 1 hour ago
Senior Networking Engineer, WBB Platform, GGN WANForms
Google
Thornton, CO
As a WAN Building Block (WBB) Platform, Google Global Networking (GGN) WANForms Network Engineer, you will be responsible for defining and qualifying platforms and solutions for scaling…
Added 1 hour ago
Software Development Engineer, OneMHS
Amazon
Boston, MA
We are seeking an exceptional Software Development Engineer to build and scale edge machine learning compute, equipment monitoring, and computer vision capabilities across our global…
Added 1 hour ago
Senior Software Engineer
EPAM Systems
Boston, MA
We are building a next-generation API Review Agent platform and developer tooling ecosystem. Our platform enables engineers to validate, review, govern, and automate API quality using…
Added 1 hour ago
Senior Data Technology Consultant, Databricks Data & AI Practice
EPAM Systems
Boston, MA
…Databricks engagements, including migrations to Databricks, platform builds, and AI/ML use…

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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