Jobs in the United States

25+ jobs

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AI Platform Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
You're equally comfortable with TypeScript/Node.js and Python/ML frameworks
Added just now
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AI Forward Deployed Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
Customer Service: Enable one person to effectively manage thousands of customers through intelligent automation
Added just now
AI Engineer - Voice
Harper
San Francisco, CA
Strong proficiency in Python and TypeScript/Node.js specifically for real-time systems
Added 1 min ago
Physical AI & Robotics Technician June 20 2026
Launch Institute of Technology
San Francisco, CA
…someone who enjoys working with robotics hardware, sensors, automation equipment, and emerging AI…
Added 3 mins ago
Senior Systems Engineer - Wireless & Wired Networking (Remote)
The Home Depot
Remote, United States
Experience with network automation and scripting using Python, Ansible, or similar technologies
Added 4 mins ago
Incident Response Engineer
American Cyber
Remote, United States
Familiarity with scripting/automation (Python, PowerShell, Bash) to streamline forensic tasks
Added 4 mins ago
AI Developer
Arora Media LLC
Remote, United States
- Strong Python skills; comfortable with APIs, automation, and lightweight web apps
Added 5 mins ago
Core Engineer - Software / Applied AI (Multiple Levels)
Edgescale AI
Denver, CO
Improve developer velocity through automation and tooling, using AI tools to accelerate implementation, tests, documentation, and iteration loops, then refining with engineering judgment.
Added 5 mins ago
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Technical Architect
Score Code Technologies
Ohio City, OH
- $90,000 to $130,000 USD / year
Python, PySpark, Project & resource management
Added 5 mins ago
Cloud Implementation Architect
Score Code Technologies
New York City, NY
Experience in Unix/Linux Shell, Perl, Ansible and Python scripting.
Added 11 mins ago
Technical Business Analyst
Cuerpo Talent
Miami, FL
Exposure to AI, machine learning, or automation initiatives
Added 11 mins ago
Senior Backend Engineer
Gaya
Remote, United States
…more robust cloud provider. Experience with Robotic Process Automation (RPA) solutions is strongly…
Added 11 mins ago
Lead Engineer
Gaya
Remote, United States
…candidates with experience developing RPA (Robotic Process Automation)…
Added 11 mins ago
Backend Engineer
Gaya
Remote, United States
…build, test, and scale the backend systems powering insurance automation for thousands of users. You will contribute to our API infrastructure, help implement unit testing across our tech…
Added 13 mins ago
Site Reliability Platform Engineer (SRE)
Luupli
Remote, United States
Strong scripting in Python and/or Bash for automation and tool development.
Added 13 mins ago
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Lead Engineer
Medina Talent Group
Irvine, CA
- $135,000 to $150,000 USD / year
Define and govern technical architecture, development standards, and technology stack selection (e.g., React, Node.js, .NET, Java, Python).
Added 15 mins ago
Founding Engineer (Applied AI & ML Ops)
Solstice Health
New York City, NY
Strong proficiency in full-stack web development technologies such as Python, FastAPI, Docker, AWS
Added 15 mins ago
Data Visualization Developer – Financial Forecast Dashboard
SunCore Digital
Bellevue, WA
We’re seeking a technically skilled and design-savvy Data Visualization Developer to build and maintain a dynamic financial dashboard that integrates real-time market data and analyst…
Added 15 mins ago
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AI Developer
SunCore Digital
Scottsdale, AZ · Bellevue, WA
- $135,000 to $165,000 USD / year
SunCore Digital is seeking an experienced AI Developer to design, build, and deploy intelligent systems that power our next generation of client‑facing and internal automation tools. This…
Added 15 mins ago
Java Developer
Tech Search Pros
Phoenix, AZ
Automation testing and documentation (functional, automated, and performance testing)
Added 17 mins ago
Software Engineer (TS/SCI CI Poly Required)
Community Talent Partners
Alexandria, VA · Annapolis, MD · Aurora, CO · San Diego, CA
…DEVOPS practices, Behavior Driven Development (BDD), and test automation frameworks. This is a unique opportunity to work on impactful projects while applying your expertise in modern…
Added 17 mins ago
Software Engineer, Infrastructure (C++)
Fabri
Billerica, MA
You will primarily work across backend systems, workflow automation, factory software, and machine/process integration, building the software infrastructure that supports and scales…
Added 17 mins ago
Software Engineer, Geometry/Simulation (C++)
Fabri
Billerica, MA
…include build preparation, manufacturability analysis, workflow automation, and machine/process integration. Some projects may involve robotics, AWS, databases, or applied data science, but…
Added 18 mins ago
Senior GEP AI Consultant
Delphic Global
CA · DE · FL · GA · IL · IN · MD · MA · MI · NJ · NM · NY · NC · OH · PA · TX · VA · WA · Austin, TX
Advise on procurement transformation strategy through automation, intelligent recommendations, and AI‑driven decision support.
Added 21 mins ago
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Staff Quantum Physicist, Hardware Systems Lead
Infleqtion
Chicago, IL
- $190,000 to $230,000 USD / year
Familiarity with Python, Linux, and tools for experiment control, data analysis, calibration, and automation.

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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