Jobs in the United States

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Added 1 min ago
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Client Growth Strategist
Discovered
Remote, United States
- $45,000 to $70,000 USD / year
You can't live with data. You don't need to be an engineer, but you must run your own analysis and reason about numbers under pressure. Spreadsheets, SQL, Python and AI tooling all count.
Added 1 min ago
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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
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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
Strong proficiency in Python and TypeScript/Node.js specifically for real-time systems
Added 3 mins ago
Product Engineer
Needletail
United States
As a Product Engineer at Needletail, you will be at the forefront of developing scalable systems that drive our innovative solutions. You will work on cutting-edge projects, particularly in…
Added 3 mins ago
PC
Senior/Staff Infrastructure Engineer
PCR Consulting
San Francisco, CA
- $210,000 to $300,000 USD / year
Deep fundamentals in backend engineering and distributed systems. Bonus for Python or TypeScript experience.
Added 3 mins ago
PC
Product Engineer – Backend or Fullstack
PCR Consulting
San Francisco, CA
- $180,000 to $250,000 USD / year
Join a high-growth, AI-driven fintech startup as a product-focused engineer working on core systems that power modern loan servicing. With $65M in Series A funding and $10M+ in ARR, this…
Added 4 mins ago
Senior Solution Engineer
Snowflake
Remote, United States
We are looking for a Senior Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the sales team…
Added 4 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 4 mins ago
AI Developer Relations Engineer (Copy)
Félix
United States
Practical skills in Python, SQL, APIs, authentication, Git, and testing. Comfortable using at least one LLM SDK, such as OpenAI or Google, to prototype integrations and debug issues. You…
Added 6 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 6 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 6 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
Data Engineer(UNPAID)
Holiday World
Remote, United States
We are seeking a Data Engineer to help build and optimize Holiday World’s data infrastructure. You will
Added 6 mins ago
AI Engineer Internship (UNPAID)
Holiday World
Remote, United States
…vision, recommendation systems, and generative AI. As an AI Engineer Intern, you will collaborate with our engineering team to design, develop, and deploy AI-powered features that bring…
Added 7 mins ago
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Senior Software Engineer, Dermatology Inference
Tono Health
Brooklyn, NY
- $180,000 to $325,000 USD / year
Strong Python and deep learning experience (PyTorch or similar), with hands-on work in computer vision such as classification, detection, segmentation or image registration
Added 7 mins ago
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Data Engineer
Tono Health
Brooklyn, NY
- $140,000 to $190,000 USD / year
Added 8 mins ago
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Product Engineer
True Talent Solutions Partners
San Francisco, CA
- $185,000 to $485,000 USD / year
- Experience with Rails, React, PostgreSQL, or comparable technologies, as well as Python or equivalent tools for AI-enabled products.
Added 9 mins ago
Forward-Deployed Engineer
Alloy Robotics
San Francisco, CA
…into a customer who can't run their fleet without us is an engineer in the room. In the US, that's…
Added 9 mins ago
[EN] Artificial intelligence engineer at Figen AI
Figen AI
United States
Strong command of Laravel, Python, R and SQL.
Added 10 mins ago
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ML Operations Engineer
Refine
New York City, NY
- $150,000 to $175,000 USD / year
We are seeking a Machine Learning Operations (ML Ops) Engineer to join our team. This role will be crucial in scaling and maintaining the ML infrastructure that powers Refine’s multimodal…
Added 10 mins ago
Sr IT Software Engineer
Palo Alto Networks, Inc.
CA
We are seeking a dynamic Sr. IT Software Engineer to lead the design and delivery of our next-generation scalable services. Leveraging Python, Django, FastAPI, React, and GraphQL within…
Added 11 mins ago
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Product Engineer
Bubble Sort Recruiting
San Francisco, CA
- $180,000 to $250,000 USD / year
We're seeking a Product Engineer to help us reshape how millions of loans are serviced through artificial intelligence. As a Product Engineer at AI Platform Company, you'll build and…
Added 11 mins ago
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Head of Engineering
Bubble Sort Recruiting
New York City, NY · Brooklyn, NY
- $200,000 to $250,000 USD / year
…code across our stack (React, TypeScript, NodeJS, PostgreSQL, Python). Push on building rapid prototypes to iterate quickly based on user feedback, and ensure top-notch performance and…
Added 11 mins ago
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Founding Engineer
Bubble Sort Recruiting
San Francisco, CA
- $120,000 to $200,000 USD / year
As a Founding Engineer at AI Company, you will play a crucial role in shaping the technical architecture and product direction of the company. You'll work directly with state-of-the-art…

Edgescale AI

Forward Deployed Engineer

Denver, CO, United States

This role has a base salary range of $145,000–$200,000.

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Job details

Pay: This role has a base salary range of $145,000–$200,000.
Posting language: English

Original job description

The Opportunity 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 deployments that drive measurable customer value. You’ll own end-to-end delivery of customer outcomes using our AI systems and edge platform - wielding a wide range of technologies across hardware, networking, sensors, data systems, and AI. You’ll integrate deeply into customer environments to compress adoption cycles, iterate based on real needs, and capture product enhancements that improve the platform for future deployments. This role operates at the edge of the platform, not inside its core. You have full authority over field deployment and configuration decisions through the platform’s controlled execution and release mechanisms. This is a hands-on role with 25-50% travel for someone who thrives in a high-ownership setting and wants to build and deploy the infrastructure that makes real-world AI possible. What You’ll Do

Own the design, deployment, and iteration of customer-facing solutions from initial problem definition through production rollout, adoption, and expansion.
Deliver measurable outcomes by traveling to customer sites 25-50% of the time and working closely with customer teams and embedded partner teams.
Deploy and operate our platform in real-world environments, including edge hardware, networking, connectivity, sensors, data flows, and AI inference.
Build integrations and tooling to connect customer systems (OT/IT), data sources, and workflows into production-grade applications.
Diagnose issues across the full stack (hardware → network → data → application → AI) and respond quickly to resolve deployment and production challenges.
Capture learnings from deployments and translate them into repeatable playbooks, scalable patterns, and product enhancements - using our AI-native workflow to direct AI tools to generate drafts, implementations, and artifacts quickly, then refine with engineering judgment.
Communicate clearly with technical and non-technical stakeholders and lead working sessions that drive decisions and execution.

What Success Looks Like

In your first 3 months, you will have:

Taken full ownership of at least one customer account and delivered a clear, measurable improvement in real-world customer value.
Built strong context on customer constraints and operational realities and used it to make sound trade-offs across product, systems, and delivery.
Earned trust through autonomy, responsiveness, and high-quality execution - becoming the person teams rely on to move deployments forward.

In your first year, you will be:

Independently owning multiple deployments or a strategic account end-to-end, consistently compressing adoption cycles and driving measurable outcomes.
Creating repeatable deployment patterns that materially reduce delivery friction and improve speed-to-value across customers and partners.
Feeding a steady stream of product improvements back into Engineering, helping evolve the platform based on real-world constraints and learnings.

Who You Are

5+ years building and operating production software or systems, ideally in customer-facing or delivery-oriented roles.
Experience operating in complex environments across infrastructure, networking, security, data systems, and/or production AI (e.g., Linux, Docker/Kubernetes, REST/gRPC APIs, and modern observability tooling).
Strong engineering craft: clean implementations, thoughtful designs, operational clarity, and strong documentation (e.g., Python and/or Go, shell scripting, and reliable integration practices).
Comfort working in ambiguity and making sound trade-offs, especially when timelines and constraints are real.
Clear communicator and strong collaborator across technical and non-technical stakeholders.
Ownership mindset: outcomes over tasks; you naturally take responsibility for delivery, adoption, and customer value.

Unique Experiences We Value

Delivering complex deployments end-to-end and turning one-off wins into repeatable patterns (e.g., deployment playbooks, runbooks, and reusable configuration templates).
Hands-on experience with edge or hybrid systems across hardware, networking, connectivity, and containerized software environments (e.g., VPNs, TLS, firewalls, LTE/5G/Wi-Fi, and Kubernetes deployments).
Deep comfort diagnosing and solving cross-stack issues in production environments (e.g., logs/metrics/traces, packet capture, network debugging, and performance profiling).
Production experience applying modern AI systems (LLMs, agents, inference) in real customer workflows under real constraints (latency, bandwidth, reliability, and security).
Experience embedding with customer and partner engineering teams to align multi-party delivery toward measurable outcomes.

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 has a base salary range of $145,000–$200,000.
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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