Jobs in the United States

25+ jobs

Added just now
FY
Sr/Staff Mobile Engineer (React Native)
Find Your Talent (FYT)
San Francisco, CA
- $230,000 to $330,000 USD / year
We're looking for a Senior/Staff React Native Engineer to join a high-growth health tech company, where a small, elite team powers a large-scale platform serving hundreds of thousands of…
Added just now
FY
Senior software engineer
Find Your Talent (FYT)
Remote, United States
- Up to $185,000 USD / year
Core Carrier Infrastructure: Engineer, scale, and evolve the microservices and dispatch backend software powering carrier routing, automated matching, and the LTL network.
Added 1 min ago
H
AI Platform Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…$8M seed round, we're looking for an exceptional AI Platform Engineer who can architect and develop the core infrastructure that powers our entire AI…
Added 1 min ago
H
AI Forward Deployed Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
…round, we're looking for an exceptional AI Forward Deployed Engineer who can rapidly solve business problems and deliver immediate value across growth, sales, operations, and customer…
Added 1 min ago
AI Engineer - Voice
Harper
San Francisco, CA
You'll use low-code platforms like VAPI or Retell for quick prototyping and rapid deployment of production voice agents, then progressively build custom infrastructure using LiveKit and…
Added 2 mins ago
PC
Senior/Staff Infrastructure Engineer
PCR Consulting
San Francisco, CA
- $210,000 to $300,000 USD / year
Architect and implement the backend infrastructure powering a complex AI-driven platform ingesting and analyzing enterprise email data.
Added 2 mins ago
PC
IT Security & Infrastructure Engineer
Pacific Clinics
Arcadia, CA
- $87,423 to $107,519 USD / year
Works within the vision, mission and philosophy of the agency. Under the direction of IT leadership, the IT Security & Infrastructure Engineer this is a mid-level role split evenly between…
Added 3 mins ago
Senior Systems Engineer - Wireless & Wired Networking (Remote)
The Home Depot
Remote, United States
The Sr. Systems Engineer is responsible for independently developing, maintaining, and supporting The Home Depot's technical infrastructure that drives the success of The Home Depot and our…
Added 5 mins ago
Principal Core Engineer - Infra / SRE
Edgescale AI
Denver, CO
…Kubernetes-based platforms, Linux systems, and automation through…
Added 5 mins ago
Forward Deployed Engineer
Edgescale AI
Denver, CO
We’re looking for a Forward Deployed Engineer (FDE) to accelerate the application of AI in real-world environments by embedding with customers and partners to deliver high-impact…
Added 5 mins ago
Core Engineer - Software / Applied AI (Multiple Levels)
Edgescale AI
Denver, CO
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.
Added 5 mins ago
Core Engineer - Hardware Systems (Multiple Levels)
Edgescale AI
Denver, CO
We’re looking for a Core Engineer focused on hardware systems to build and evolve the physical edge platform that runs our private AI and data infrastructure in the real world.
Added 5 mins ago
Core Engineer - Data Systems (Multiple Levels)
Edgescale AI
Denver, CO
We’re looking for a Core Engineer focused on data systems to build the data and streaming foundations that make our edge platform reliable, observable, and repeatable.
Added 6 mins ago
TH
Senior Software Engineer, Dermatology Inference
Tono Health
Brooklyn, NY
- $180,000 to $325,000 USD / year
Small team, broad scope. Engineers regularly work across frontend, backend, data, and infrastructure.
Added 6 mins ago
TH
Senior Software Engineer, AI
Tono Health
Brooklyn, NY
- $180,000 to $275,000 USD / year
You'll also build the foundation other engineers build on: shared agent infrastructure, tool and memory abstractions, durable workflows, tracing, and the evaluation harnesses that tell us…
Added 6 mins ago
TH
Data Engineer
Tono Health
Brooklyn, NY
- $140,000 to $190,000 USD / year
Small team, broad scope. Engineers regularly work across frontend, backend, data, and infrastructure.
Added 8 mins ago
Director of Power Engineering
Deca
San Francisco, CA
…vision is a 10+ GW portfolio of powered land and the vertical infrastructure on top of…
Added 9 mins ago
R
Site Reliability Engineer (In-Person)
Refine
New York City, NY
- $95,000 to $125,000 USD / year
We are seeking a DevOps/Site Reliability Engineer to join our team. This role will focus on building and maintaining our continuous integration/deployment pipelines, ensuring high…
Added 11 mins ago
Senior Backend Engineer
Gaya
Remote, United States
As a Senior Backend Engineer at Gaya, you'll architect and scale the systems that power insurance automation for thousands of users. You'll establish engineering best practices, lead…
Added 11 mins ago
Backend Engineer
Gaya
Remote, United States
As a Backend Engineer at Gaya, you will work hand-in-hand with our Senior Backend Engineer to build, test, and scale the backend systems powering insurance automation for thousands of…
Added 11 mins ago
AI Software Engineer
Gaya
Remote, United States
We're looking for a software engineer to help build, maintain, and evolve the production services behind those systems. The work is varied by design: AI extraction pipelines, background job…
Added 12 mins ago
RU
SDET Automation Engineer
Randstad USA
Washington, DC
- $50 to $58 USD / hour
Randstad is seeking a Senior SDET Automation Engineer to join a premier client in the Washington, DC area to lead the design, development, and scaling of enterprise-grade test automation…
Added 13 mins ago
CA
General Engineer
Customs and Border Protection
Aliso Viejo, CA · Euless, TX
- $106,437 to $138,370 USD / year
…developing, and managing programs, projects, facilities, and infrastructure that support CBP mission facility requirements…
Added 13 mins ago
Founding Software Engineer - Fullstack
Snellito Labs
Remote, United States
Snellito Labs is on a mission is to revolutionize the way people experience food by building the next-generation infrastructure for the food industry. We empower small food service…
Added 13 mins ago
Founding Software Engineer - Frontend
Snellito Labs
Remote, United States
Snellito Labs is on a mission is to revolutionize the way people experience food by building the next-generation infrastructure for the food industry. We empower small food service…

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