Jobs in the United States

25+ jobs

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Principal Engineer
Modern Relay
New York City, NY · San Francisco, CA
We’re looking for a Principal Engineer to lead the design and delivery of core platform capabilities across our stack. You’ll operate as a senior technical leader - owning architecture…
Added 1 min 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 1 min ago
Quality Engineer, AI & Test Automation
Baylor Scott & White Health
Baton Rouge, LA
· Ensure quality criteria are embedded in requirements, design reviews, backlog refinement, development, testing, implementation, and post-release monitoring.
Added 2 mins ago
Data Engineer (Louisiana)
Blue Cross and Blue Shield of Louisiana
Baton Rouge, LA
Ability to independently design, develop and debug basic ETL/ELT or API solutions based on business requirements with feedback from the team’s technical lead
Added 2 mins ago
Hardware Engineer, PCB Layout
Meta
Baton Rouge, LA
Meta is seeking a Staff PCB Layout Engineer to drive the design and delivery of complex printed circuit boards for large-scale infrastructure hardware. In this role, you will define layout…
Added 2 mins ago
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Lead Data Engineer-Snowflake
Cognizant
Baton Rouge, LA
- $115,000 to $135,000 USD / year
Lead the design and implementation of Snowflake-based data solutions that transform raw data into trusted, business-ready information assets.
Added 2 mins ago
Senior Cybersecurity IAM Engineer
Blue Cross and Blue Shield of Louisiana
Baton Rouge, LA
…practices and compliance requirements. Assist in the development, implementation and maintenance of IAM security processes and procedures. Supports project and operational teams in…
Added 6 mins 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 6 mins 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 8 mins ago
Senior Solution Engineer
Snowflake
Remote, United States
…throughout the sales cycle, from demo to proof of concept to design and…
Added 8 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 8 mins ago
AI Developer Relations Engineer (Copy)
Félix
United States
…platform teams. Specialist engineers own the architecture and implementation. You own the plan, the dependencies, the decisions that need making, and the follow-through until the intended…
Added 9 mins ago
Security Engineer
American Cyber
Remote, United States
American Cyber is seeking a Security Engineer / Cybersecurity Engineer (Independent Contractor – 1099) to support the design, implementation, and optimization of security solutions across…
Added 10 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 10 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 12 mins ago
Senior Software Engineer, Systems and Tools
Heart of the Dawn Games
Remote, United States
We are looking for a versatile and highly motivated Senior Engineer to join our Unreal, Mission Tools team. In this role, you will build systems and tools within Unreal 5 that will be used…
Added 13 mins ago
RS
Senior .NET Software Engineer
Recruiting Source International LLC
Remote, United States
- $100,000 to $120,000 USD / year
6 years of experience in database implementation and data model design.
Added 15 mins ago
Sr IT Software Engineer
Palo Alto Networks, Inc.
CA
The Senior Software Engineer on the Data & Analytics team will design, build, and support full-stack applications; integrate AI technologies into existing and new applications to deliver…
Added 17 mins ago
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Support Systems Engineer - NAMER
Ashby
Remote, United States
- $100,000 to $130,000 USD / year
That’s why we’re searching for a Support Systems Engineer to become the long-term owner of our Support systems.
Added 17 mins ago
Senior Backend Engineer
Gaya
Remote, United States
As a Senior Backend Engineer at Gaya, you will be critical in enhancing and scaling our backend systems. You will be responsible for improving our API infrastructures, optimizing core…
Added 17 mins ago
Lead Engineer
Gaya
Remote, United States
Full-Stack Development: Contribute to the design and implementation of our back-end services, including managing our in-house APIs, third-party data integrations, and ensuring the…
Added 19 mins ago
MT
Senior Security Ransomware Engineer
Medina Talent Group
Remote, United States
- $98,000 to $154,000 USD / year
Design and implement the application review and onboarding workflow, including technical assessments, readiness evaluations, and control implementation support.
Added 19 mins ago
MT
Forward Deployment Engineer- 100 remote
Medina Talent Group
Remote, United States
- $150,000 to $190,000 USD / year
Foundational knowledge of full-stack engineering principles and system design.
Added 20 mins ago
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Founding Product Engineer
Solstice Health
New York City, NY
- $150,000 to $275,000 USD / year
…life sciences marketing content. We’re looking for a Product Engineer to join our founding team and help design, build, and scale the core product experience end to…
Added 20 mins ago
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Founding Forward Deployed Engineer
Solstice Health
New York City, NY
- $160,000 to $300,000 USD / year
As a Forward Deployed Engineer at Solstice, you’ll sit at the intersection of engineering, product, and customer success.

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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