Jobs in the United States

25+ jobs

Added 14 mins ago
Design Engineer II
Silicon Laboratories Inc.
United States
Experience with scripting and automation. Knowledge of Python, Perl, and Tcl
Added 25 mins ago
Software Engineer / Application Developer
American Operations Corporation
Montgomery, AL
…Architects, Enterprise Integration personnel, and Independent Test Teams to implement backlog items supporting sustainment, modernization, technical debt reduction, cloud migration,…
Added 26 mins ago
CH
Growth Strategy Analyst, GTM Data
Charlie Health Strategy & Operations
NY
- $75,000 to $100,000 USD / year
…company OKRs. You'll also work closely with RevOps (Systems & Automation), Analytics, and Data Science - building on top of the platforms, data infrastructure, and AI tooling stack RevOps…
Added 34 mins ago
IT Consultant
Entergy
New Orleans, LA
Develop automation workflows to reduce manual intervention and improve operational efficiency.
Added 38 mins ago
H
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 42 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 47 mins ago
Junior AI Specialist (Claude)
Wavelength Network
Remote, United States
Basic scripting or automation skills (Apps Script, Python or Zapier)
Added 49 mins ago
Backend Engineer
Gaya
Remote, United States
As a Backend Engineer at Gaya, you will work hand-in-hand with our Senior Backend Engineer to build, test, and scale the backend systems powering insurance automation for thousands of…
Added 51 mins ago
MT
Site Reliability Engineer
Medina Talent Group
Irvine, CA
- $125,000 to $155,000 USD / year
…design, build, and operate resilient platform services, implement automation and reliability frameworks, and ensure the availability and performance of shared platform capabilities. You…
Added 51 mins ago
MT
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 53 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 53 mins ago
Data Visualization Developer – Financial Forecast Dashboard
SunCore Digital
Bellevue, WA
Debug, test, and optimize dashboard performance for accuracy and responsiveness
Added 55 mins ago
Software Engineer (TS/SCI CI Poly Required)
Community Talent Partners
Alexandria, VA · Annapolis, MD · Aurora, CO · San Diego, CA
…(SAFe), 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…
Added 55 mins ago
KM - GHL & Automations Specialist
KultreMedia LLC
Remote, United States
We’re looking for a highly skilled and detail-oriented CRM Automation & Conversion API Specialist to join our team. If you live and breathe workflows, thrive in Go High Level, and speak…
Added 59 mins ago
UI
Test Engineer
Ulysses Inc.
San Francisco, CA
- $110,000 to $160,000 USD / year
Ability to script test automation and data analysis in Python or a comparable language, and use Linux tools and software logs.
Added 59 mins ago
UI
Technical Operations
Ulysses Inc.
San Francisco, CA
- $120,000 to $150,000 USD / year
Familiarity with Linux, command-line tools, and basic scripting (Python or Bash) for system configuration, log analysis, and test automation
Added 59 mins ago
UI
Subsea Acoustics Engineer
Ulysses Inc.
San Francisco, CA
- $145,000 to $190,000 USD / year
Experience with production test automation, calibration pipelines, and quality systems (e.g., ISO-9001 style processes)
Added 59 mins ago
UI
Lead Hydrographic Surveyor
Ulysses Inc.
San Francisco, CA
- $150,000 to $190,000 USD / year
You can script - Python for data pipelines, QC automation, or processing at scale.
Added 59 mins ago
UI
Embedded Systems Engineer
Ulysses Inc.
San Francisco, CA
- $140,000 to $180,000 USD / year
…team is lean, hands-on, and fast - we prototype in the shop, test on the water, and ship. If you want to work at the frontier, there's no frontier bigger than the…
Added 59 mins ago
UI
Electronics Engineer
Ulysses Inc.
San Francisco, CA
- $135,000 to $180,000 USD / year
Experience with production test automation and fixture design (bed-of-nails, boundary scan strategies, calibration flows, logging/traceability)
Added 1 hour ago
Site Reliability Engineer Internship
Metasys
Remote, United States
Automation: Strong scripting skills (Python/Bash) and experience with CI/CD tools and Makefile.
Added 1 hour ago
Performance Tester Internship
Metasys
Remote, United States
Programming/Scripting: Proficiency in scripting languages (e.g., JavaScript/Python) for test scenario creation and data generation.
Added 1 hour ago
DevSecOps Engineer Internship
Metasys
Remote, United States
Automation/CI/CD: Makefile, automated testing, scripting (Bash/Python/Node.js).
Added 1 hour ago
Senior GCP Data Engineer
Comspark group
Sunnyvale, CA
Experience with programming languages: Python, Java, Scala, etc.
Added 1 hour ago
HPC Engineer/Architect
Comspark group
New York, NY
Experience with Scripting and Automation (Ansible, Python, Shell Scripting)

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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