Jobs in the United States

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Added 4 days ago
AI/ML Engineer / Data Scientist
American Operations Corporation
Montgomery, AL
The AI/ML Engineer/Data Scientist works closely with Product Owners, Functional SMEs, Help Desk personnel, System Architects, DevSecOps personnel, and operational stakeholders to analyze…
Added 4 days ago
Senior Applied AI Engineer (Enterprise AI / Python)
Brightplan
Remote, United States
We are looking for a Senior Applied AI Engineer to help design, build, and scale the systems that power AI across the BrightPlan platform. This role will play an important part in shaping…
Added 4 days ago
Applied AI Engineer (Python/AI)
Brightplan
Remote, United States
This role is ideal for an engineer who enjoys the practical application of generative AI in production environments and works closely with product managers and engineers to translate ideas…
Added 4 days ago
AI Engineer
Emergence AI
Irvine, CA
As an AI Engineer, you'll build customer-facing capabilities across Emergence's Enterprise Agent Platform, working directly with Product Management, Customer Success, and enterprise…
Added 4 days ago
Forward Deployed Engineer
Elixirr Consulting
United States
5+ years as a software engineer shipping working systems; recent hands-on experience building LLM-powered or agentic applications.
Added 4 days ago
Full Stack Engineer Intern
Klatch AI
Remote, United States
Solid backend experience with Node.js or Python frameworks (FastAPI, Django, or Flask)
Added 4 days ago
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Founding Platform & Infrastructure Engineer, AI Platform
Nth AI
San Francisco, CA
- $150,000 to $190,000 USD / year
Software engineering ability. Comfortable writing production Python, TypeScript, PowerShell, Bash, or similar code to build automation, internal tooling, APIs, and platform services.
Added 4 days ago
Founding Data Engineer, AI Platform
Nth AI
San Francisco, CA
Deep enterprise data engineering experience. Strong Python, SQL, Spark/PySpark, data modeling, orchestration, incremental processing, schema evolution, and reconciliation.
Added 4 days ago
Forward Deployed Engineer, Enterprise AI
Nth AI
San Francisco, CA
Hands-on engineering. Write and debug integrations, Python and SQL transformations, notebooks, APIs, and automation needed to make deployments work.
Added 4 days ago
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Senior Engineer
Alignment
San Francisco, CA
- $110,000 to $140,000 USD / year
We're hiring a Senior / Staff-level engineer to focus on building and improving our data processing, automation, and API infrastructure. Depending on your interests, there's room to work on…
Added 4 days ago
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Platform Security Engineer
Alignment
San Francisco, CA
- $110,000 to $240,000 USD / year
To achieve our ambitious goals, we’re looking for a Security Engineer to join our Platform Security team. Our commitment to user trust is unwavering, and this new team member will play a…
Added 4 days ago
Senior Data Engineer
Ochsner Health
New Orleans, LA
The Senior Data Engineer is responsible for designing, developing, implementing, and optimizing enterprise‑grade solutions and architectures, while ensuring scalability, performance,…
Added 4 days ago
Data Engineer (Louisiana)
Blue Cross and Blue Shield of Louisiana
Baton Rouge, LA
…integration and communication-based systems, languages such as C#, Python or Java. Additional training for integration tools used will be…
Added 4 days ago
Founding Full-Stack Engineer (Application-Layer AI)
Skylarq AI
Remote, United States
Strong Python skills; proficiency with FastAPI, Django, or Flask for RESTful and async APIs.
Added 4 days 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 4 days 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 4 days ago
AI Engineer - Voice
Harper
San Francisco, CA
Strong proficiency in Python and TypeScript/Node.js specifically for real-time systems
Added 4 days 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 4 days 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 4 days 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 days 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 days 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 4 days 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 4 days 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 4 days 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.

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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