Jobs in the United States

25+ jobs

Added just now
H
AI Platform Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
Build robust evaluation systems with datasets and human-annotated data for supervised fine-tuning (SFT) and reinforcement learning (RL)
Added just now
H
AI Forward Deployed Engineer
Harper
San Francisco, CA
- $140,000 to $230,000 USD / year
Own the analytics and data-driven decision making for your assigned business areas
Added just now
AI Engineer - Voice
Harper
San Francisco, CA
Design qualification workflows that gather key information and route to appropriate human agents
Added just now
Senior Manager, Global Creator Programs
Twitch
San Francisco, CA
Identify and mitigate program risks early, iterating on program design based on creator feedback and performance data
Added just now
Senior Manager, Global Creator Programs
Twitch
San Francisco, CA
Identify and mitigate program risks early, iterating on program design based on creator feedback and performance data
Added just now
Senior Manager, Global Creator Programs
Twitch
Seattle, WA · San Francisco, CA
Identify and mitigate program risks early, iterating on program design based on creator feedback and performance data
Added just now
JE
Capital Partnerships & Investor Relations Lead
JPG Enterprises Consulting
CA · Los Angeles, CA
- $250,000 to $750,000 USD / year
Design creative capital engagement packages aligned with JPGE ventures and initiatives.
Added 1 min ago
MT
Applications Engineer II
Mimo Technik
Carson, CA
- $100,000 to $125,000 USD / year
…and inspection. You are the technical voice to customers on design for additive…
Added 1 min ago
MT
Applications Engineer I
Mimo Technik
Carson, CA
- $85,000 to $100,000 USD / year
…and inspection. You are the technical voice to customers on design for additive…
Added 2 mins ago
2027 Process Support Engineer, New College Grad - Bachelor's (Multiple Locations))
Applied Materials
Boise, ID · Austin, TX · Hillsboro, OR · Boise · Austin · Hillsboro
…semiconductor chips, and create hypothesis experiments and design of experiments (DOEs). You'll analyze data with statistics and compile reports with high-level conclusions on technically…
Added 2 mins ago
Windchill Solutions Architect
Strategic Tech Solutions LLC
Remote, United States
· Collaborate with business stakeholders to understand requirements and design effective PLM solutions using Windchill.
Added 2 mins ago
Teamcenter Developer
Strategic Tech Solutions LLC
Remote, United States
We are looking for a highly skilled Teamcenter Developer to join our team at Strategic Tech Solutions, LLC. As a Teamcenter Developer, you will be responsible for developing, customizing,…
Added 2 mins ago
Teamcenter Architect
Strategic Tech Solutions LLC
Remote, United States
Lead the design, architecture, and implementation of Teamcenter PLM solutions.
Added 2 mins ago
Business Architect
Strategic Tech Solutions LLC
Remote, United States
Guide the design and optimization of end-to-end PLM processes (e.g., product development, change management, BOM management, CAD data management).
Added 2 mins ago
25-0159 - Teamcenter X Architect / Business Analyst
Strategic Tech Solutions LLC
Boston, MA
…engineering requirements. This person will define the PLM roadmap, design scalable configurations, and translate business challenges into actionable requirements for the managed services…
Added 3 mins ago
Senior Systems Engineer - Wireless & Wired Networking (Remote)
The Home Depot
Remote, United States
…The Home Depot and our customers. This role focuses on the design, implementation, maintenance, and support of wireless and wired network infrastructure across Supply Chain environments,…
Added 3 mins ago
AI Technical Program Manager
Félix
United States
You’ll work across Engineering, Product, Data, FDE, AI Enterprise, and platform teams. Specialist engineers own the architecture and implementation. You own the plan, the dependencies, the…
Added 3 mins ago
AI Developer Relations Engineer (Copy)
Félix
United States
You’ll work across Engineering, Product, Data, FDE, AI Enterprise, and platform teams. Specialist engineers own the architecture and implementation. You own the plan, the dependencies, the…
Added 3 mins ago
AI Technical Program Manager
Félix
NY
You’ll work across Engineering, Product, Data, FDE, AI Enterprise, and platform teams. Specialist engineers own the architecture and implementation. You own the plan, the dependencies, the…
Added 3 mins ago
AI Technical Program Manager
Félix
United States
You’ll work across Engineering, Product, Data, FDE, AI Enterprise, and platform teams. Specialist engineers own the architecture and implementation. You own the plan, the dependencies, the…
Added 3 mins ago
Senior Product Manager
Aconomy Foundation
Remote, United States
Lead the design and implementation of the incentive programs for the WOOFi Pro platform, working closely with front-end engineers, QA, design and marketing teams.
Added 3 mins ago
Compliance Specialist (AI Governance) -Remote
A Purple Unicorn
Remote, United States
You’re the kind of person who doesn’t just check boxes - you design the entire checklist. You think ahead, hold the bar high, and understand that governance isn’t just about rules - it’s…
Added 4 mins ago
Graphic Designer
Arora Media LLC
Remote, United States
- Own design across the full creative testing pipeline: concepts, variants, iterations based on performance data
Added 4 mins ago
Core Engineer - Software / Applied AI (Multiple Levels)
Edgescale AI
Denver, CO
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…
Added 4 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.

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