Remote jobs in the United States

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Added 16 mins ago
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Senior QA/SDET
Jobgether
Remote, United States
- $180,000 to $210,000 USD / year
6+ years of experience in software quality engineering, including at least 3 years as an SDET or test automation engineer within a software engineering organization.
Added 4 hours ago
Senior Developer - Full Stack
Cydcor
Remote, United States
…engineering stack spanning Salesforce, MuleSoft, Informatica Cloud, Python, PostgreSQL, and AWS. We are looking for a seasoned engineer who is excellent at engineering fundamentals first…
Added 4 hours ago
AI Chat R&D Trainee - Full-Stack Engineer (Go Backend) - Bilingual Mandarin
CWILL
Remote, United States
As an R&D Trainee, you'll learn by building real features with a mentor, and grow into an engineer who owns a module independently.
Added 4 hours ago
AI SEO R&D Trainee - Full-Stack Engineer (Go Backend) - Bilingual Mandarin
CWILL
Remote, United States
As an R&D Trainee, you'll learn by building real features with a mentor, and grow into an engineer who owns a module independently.
Added 4 hours ago
Loyalty & Referrals R&D Trainee - Full-Stack Engineer - Bilingual Mandarin
CWILL
Remote, United States
Production bug fixes and data support for enterprise customers take up a full engineer's time today. As an R&D Trainee, you'll own much of this work, learning our systems from the inside,…
Added 4 hours ago
Pop-Up & Email Marketing R&D Trainee - Full-Stack Engineer - Bilingual Mandarin
CWILL
Remote, United States
Months 12–18: grow into an AI-native full-stack engineer with strong business understanding, delivery skills and AI collaboration
Added 4 hours ago
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Principal Software Engineer - Full Stack
CVector - Industrial AI
Remote, United States
- $150,000 to $175,000 USD / year
As a Principal Full Stack Software Engineer, you will own the technical direction of CVector’s customer-facing platform end to end - from the real-time data visualization and AI-driven…
Added 4 hours ago
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Principal Software Engineer - Backend & AI Infra
CVector - Industrial AI
Remote, United States
- $150,000 to $175,000 USD / year
As a Principal Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems,…
Added 4 hours ago
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Senior Software Engineer - Backend & AI Infra
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted…
Added 4 hours ago
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Senior Software Engineer - Full Stack
CVector - Industrial AI
Remote, United States
- $125,000 to $150,000 USD / year
As a Senior Full Stack Software Engineer, you will play a key role in designing, building, and evolving CVector’s core platform - including our web applications, back-end data pipelines,…
Added 5 hours ago
Software Engineer, Infrastructure & Reliability
CrewAI
Remote, United States
Ability to write reliable automation in Python, Ruby, Go, Bash, or similar.
Added 5 hours ago
Forward Deployed Engineer - (East coast based)
CrewAI
Remote, United States
The Forward Deployed Engineer (FDE) at CrewAI is a pivotal, customer-facing role that bridges the gap between our cutting-edge AI technology and our clients' specific needs. We are looking…
Added 5 hours ago
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Senior DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $180,000 USD / year
We have an immediate need for a highly skilled Senior-level DevSecOps Engineer to support federal programs hosted on AWS GovCloud. This role requires expertise in DevSecOps best practices,…
Added 5 hours ago
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Senior Applications Engineer
Credence
Remote, United States
- $150,000 to $180,000 USD / year
Credence has an immediate opening for a Senior Applications Engineer who will be primarily responsible for supporting the Defense Logistics Agency, Defense Automated Addressing Systems…
Added 5 hours ago
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Senior Google AI Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
We have an immediate need for a highly skilled Senior Google AI Engineer. We are growing our Google Cloud AI engineering capability to support our Department of War (DoW) programs. You will…
Added 5 hours ago
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AI Platform & DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
Credence has an immediate need for an AI Platform & DevSecOps Engineer to support federal programs hosted within AWS GovCloud. This hands-on engineering role combines DevSecOps, cloud…
Added 5 hours ago
Cloud Platform Engineer- Entry Level
Credence
Remote, United States
Credence is seeking an entry/junior-level Cloud Platform Engineer to support secure AWS hosting environments for Department of War customers. You will join an established platform team,…
Added 6 hours ago
Forward Deployed Integrations Engineer
Coursedog
Remote, United States
As a Forward Deployed Integrations Engineer at Coursedog, you'll embed directly with our most strategic customers to own their SIS integration from start to finish, working closely with…
Added 7 hours ago
Principal AI Architect - OleOle
Travoom
Remote, United States
…applications to ChatGPT, Claude, or Gemini APIs. We need an engineer with deep, firsthand experience developing, fine-tuning, deploying, and operating AI models and…
Added 7 hours ago
Agentic Context Engineer
Wisdom AI
Remote, United States
The Role: As an Agentic Context Engineer at WisdomAI, you will work within a Field Engineering team to guide customers from early solution shaping through scaled deployment. You will help…
Added 7 hours ago
Mojo Libraries Engineer (Copy)
Modular
Remote, United States
We are looking for a motivated engineer to join the Hardware Enablement team at Modular. In this role you will work across the Modular software stack, from Mojo kernels and the graph…
Added 8 hours ago
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Senior Software Engineer III, Backend
Connexity | Skimlinks, a Taboola company
Remote, United States
- $175,000 to $200,000 USD / year
We are seeking a skilled and motivated Senior Software Engineer III, Backend to join our Internal Tools team. Our team owns the design and implementation of our next-generation internal…
Added 11 hours ago
Senior Forward Deployed Engineer
Raydar
Remote, United States
- Strong coding ability in Python and TypeScript, plus practical familiarity with data engineering and cloud environments.
Added 14 hours ago
Forward Deployed Engineer
True Talent Solutions Partners
Remote, United States
- Integration and scripting experience with Python, JavaScript or TypeScript, SQL, REST APIs, JSON, and webhooks.
Added 14 hours ago
TT
Research Crawling Engineer
True Talent Solutions Partners
Remote, United States
- $160,000 to $250,000 USD / year
- Strong programming skills in Go, Rust, Python, Java, or C++.

Jobgether

AI Infrastructure / Product Engineer

Remote, United States

$180,000 to $260,000 USD / year

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Job details

Pay: $180,000 to $260,000 USD / year
Posting language: English
Posted: Nov 3, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Infrastructure / Product Engineer based in the United States.

Join an innovative healthtech environment leveraging artificial intelligence to transform complex legal workflows and improve operational efficiency. As an AI Infrastructure / Product Engineer, you will bridge the gap between AI research and practical product development, turning experimental technologies into reliable, scalable production solutions. You will design and implement evaluation frameworks, backend services, and infrastructure that ensure AI systems deliver accurate, efficient, and consistent results. Working closely with AI researchers and product teams, you will contribute to the development of intelligent retrieval, document automation, drafting, and agent-based workflows. You will also play a key role in monitoring system performance, optimizing infrastructure, and establishing engineering best practices. This is an exciting opportunity to shape the practical application of AI in a high-impact industry while working in a collaborative, technically driven environment.

Accountabilities:

AI Evaluation and Performance Optimization:
Design, build, and maintain repeatable benchmarks and evaluation pipelines to measure the performance of AI and machine learning systems.
Assess model accuracy, hallucination rates, retrieval quality, latency, and operational costs to ensure reliable system performance.
Develop dashboards and monitoring tools that provide clear visibility into performance metrics, system improvements, and potential issues.
Establish evaluation processes that support continuous testing, comparison, and optimization of AI models and workflows.
AI Product and Application Development:
Transform research prototypes and experimental AI capabilities into reliable, production-ready applications.
Develop and improve AI-powered retrieval, document processing, drafting, and agent-based workflows.
Collaborate with AI research teams to integrate new models, techniques, and research findings into practical product features.
Ensure technical implementations remain aligned with product requirements, user needs, and real-world operational challenges.
Backend Engineering and Infrastructure:
Design, develop, and maintain backend services, APIs, and internal tools that support AI testing, deployment, and product releases.
Build and optimize databases, cloud infrastructure, and deployment pipelines to support scalable AI applications.
Implement monitoring, observability, and performance management solutions to maintain system reliability and availability.
Support the deployment, operation, and continuous improvement of cloud-based services and infrastructure.
Develop maintainable, well-structured software that supports efficient testing, integration, and future product development.
Cross-Functional Collaboration:
Work closely with AI researchers, product teams, and engineers to translate technical research into valuable product capabilities.
Contribute to architectural discussions and technical decisions related to AI infrastructure, evaluation methodologies, and product development.
Identify technical challenges and opportunities for improvement, proactively proposing and implementing effective solutions.
Help establish engineering practices that promote reliability, scalability, maintainability, and continuous innovation.

Requirements:

At least 3 years of professional experience as a Software Engineer, Infrastructure Engineer, Product Engineer, or in a related engineering role building and deploying production systems.
Strong programming skills in Python, with practical experience developing, maintaining, and deploying software applications.
Hands-on experience with cloud infrastructure and the deployment and operation of production software systems.
Demonstrated experience building evaluation pipelines, benchmarks, or assessment frameworks for machine learning or AI-powered applications.
Understanding of AI performance evaluation, including model accuracy, hallucination detection, retrieval quality, latency, and cost optimization.
Experience developing backend services, REST APIs, database integrations, and internal engineering tools.
Familiarity with deployment pipelines, system monitoring, observability, and performance dashboards.
Ability to transform experimental code, research prototypes, and loosely defined requirements into reliable, maintainable, and user-friendly production solutions.
Strong problem-solving and analytical skills, with the ability to investigate complex technical challenges and deliver practical solutions.
Excellent collaboration and communication skills, with the ability to work effectively across engineering, AI research, and product teams.
A proactive and adaptable mindset, with the ability to work independently, manage priorities, and contribute to a rapidly evolving technical environment.

Nice to Have:

Full-stack software development experience.
Familiarity with FastAPI, Docker, React, Next.js, and PostgreSQL.
Experience working with vector databases and modern data retrieval technologies.
Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent architectures.
Familiarity with AI benchmarks, model evaluation methodologies, and document automation workflows.
Previous experience building AI-powered products or working in healthcare technology or other regulated industries.

Benefits:

Competitive Compensation: Annual base salary ranging from $180,000 to $260,000 USD, depending on skills, professional experience, and role scope.
Remote Work: Fully remote position within the United States.
Professional Growth: Opportunity to work at the intersection of AI research, infrastructure engineering, and product development.
Technical Impact: Direct involvement in transforming experimental AI technologies into reliable, production-ready applications.
Innovation: Exposure to advanced AI technologies, LLMs, retrieval systems, and intelligent automation solutions.
Cross-Functional Collaboration: Work closely with AI researchers, engineers, and product professionals to solve meaningful technical challenges.
Career Development: Opportunity to expand technical expertise and contribute to the evolution of AI-powered healthcare and legal workflow solutions.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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More about this job

Skills

Research
Product comprehension
Performance management
Process improvement
Python
Industrial software
API development
Problem solving
Analytical skills
Collaboration
Communication skills
Adaptability
Work independently
Software development
Docker
React
Next.js
PostgreSQL

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