Remote jobs in the United States

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Added 11 mins ago
Senior Software Development Engineer in Test (SDET)
Jobgether
Remote, United States
Create and execute comprehensive functional, regression, integration, and performance tests.
Added 42 mins ago
J
Senior QA/SDET
Jobgether
Remote, United States
- $180,000 to $210,000 USD / year
Define and own the platform-wide test strategy, combining unit, integration, API, end-to-end, and exploratory testing.
Added 42 mins ago
Lead Solutions Architect - ServiceNow & API Integration (Secret)
Jobgether
Remote, United States
…architecture decisions, establish engineering standards, and guide integration teams in building reliable, scalable, and maintainable solutions. Working across engineering teams and…
Added 2 hours ago
Principal/ AD Medicinal Chemist
Deep Origin
Remote, United States
…execute medicinal chemistry strategies while contributing to the integration of computational and AI-driven approaches into drug discovery workflows. The ideal candidate will combine strong…
Added 2 hours ago
Principal/ AD Medicinal Chemist
Deep Origin
Remote, United States
…execute medicinal chemistry strategies while contributing to the integration of computational and AI-driven approaches into drug discovery workflows. The ideal candidate will combine strong…
Added 2 hours ago
Director/AD, Computational DMPK (Drug Metabolism & Pharmacokinetics)
Deep Origin
Remote, United States
…own those models, mentor the team that builds them, and drive integration of their predicted parameters into the physiologically based pharmacokinetic (PBPK) model that governs exposure…
Added 2 hours ago
Software, Data & AI Sales Manager & Account Executive
Dean Dorton
Remote, United States
Added 4 hours ago
Webflow Guru/Website Manager
Veracode
Remote, United States
…a proprietary AI-generated remediation engine, the Veracode platform is trusted by organizations worldwide to build and maintain secure software from code creation to cloud…
Added 4 hours ago
Senior Developer - Full Stack
Cydcor
Remote, United States
● AWS certifications, or Salesforce certifications (Platform Developer, Integration Architect).
Added 4 hours ago
ServiceNow Engineer Principal
SAIC
Remote, United States
Participate in platform, process, and integration testing.
Added 5 hours ago
C-
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
Senior Full-Stack Engineer, Agent Management Platform
CrewAI
Remote, United States
CrewAI is the leading framework and enterprise platform for building and orchestrating multi-agent AI systems, powering 300M+ agent executions per month across thousands of companies. The…
Added 6 hours ago
C
ServiceNow Architect
Credence
Remote, United States
- $170,000 to $200,000 USD / year
…migrate legacy applications to the DLA Enterprise ServiceNow…
Added 6 hours ago
C
AI Platform & DevSecOps Engineer
Credence
Remote, United States
- $150,000 to $190,000 USD / year
DevSecOps & Platform Engineering: Design, build, and maintain secure, scalable platform capabilities supporting application development and delivery within AWS GovCloud. Develop reusable…
Added 6 hours ago
ServiceNow Developer
Credence
Remote, United States
Credence has an immediate need for a ServiceNow Developer to design, develop, configure, and maintain ServiceNow solutions that support business and IT operations. This role partners with…
Added 7 hours ago
Forward Deployed Integrations Engineer
Coursedog
Remote, United States
…directly with our most strategic customers to own their SIS integration from start to finish, working closely with Engineering, Technical Services, our new Integrations Center of…
Added 7 hours ago
Director, Software Engineering
VIOC
Remote, United States
Lead technology selection, design patterns, integration approaches, and build, buy, or integrate tradeoffs for the future Store platform.
Added 7 hours ago
Senior Payments Infrastructure Engineer - Crypto, Wallets & Blockchain
Travoom
Remote, United States
OleOle is building a global social network and messaging platform for football fans. Our mission is to create a single global community where supporters can follow their club and country,…
Added 7 hours ago
Principal AI Architect - OleOle
Travoom
Remote, United States
OleOle is building a global social network and messaging platform for football fans. Our mission is to create a single global community where supporters can follow their club and country,…
Added 8 hours ago
Mojo Libraries Engineer (Copy)
Modular
Remote, United States
Collaborate with hardware vendor engineers to understand target platforms, build integration tests, and triage platform-specific issues
Added 9 hours ago
Software Automation & Platform Engineer - Federal Health IT
Rackner
Remote, United States
This position brings together software development, platform automation, and enterprise integration, giving you the opportunity to solve meaningful operational challenges and see the impact…
Added 10 hours ago
Director, Global Total Rewards, People Operations & HR Technology
Clinigen
Remote, United States
Own the People systems roadmap, including HRIS implementation, integration, optimization, controls and adoption.
Added 11 hours ago
DevOps Engineer
ClearlyAgile
Remote, United States
…our company’s first line of defense in protecting our entire platform against hackers and…
Added 12 hours ago
Social Solutions Manager
Channel Factory
Remote, United States
…safety, suitability, and performance for brands and agencies. Our platform helps marketers implement, automate, and scale their marketing programs across the world’s largest video library,…
Added 12 hours ago
Social Solutions Manager
Channel Factory
Remote, United States
…safety, suitability, and performance for brands and agencies. Our platform helps marketers implement, automate, and scale their marketing programs across the world’s largest video library,…

Closed listing

Senior Full Stack AI Engineer (US Citizen)

Remote, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Experience: 6+ years of significantly demonstrated leadership responsibility experience.
Posting language: English
Posted: Nov 4, 2026

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Original job description

Archived listing. The details below describe a past opening.

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Job Type

Full-time

Description

NOTE: This opportunity is full-time employment position only (no 1099 or C2C engagements, or third parties or staffing agencies, please). The candidate MUST be a U.S. Citizen). This is a remote opportunity; candidate must be based in the U.S.; preference given to candidates in the Washington DC, Maryland, Virginia (DMV) area; ET zone work schedule.

Daily Responsibilities

Serve as a senior, hands-on full-stack AI engineer, leading the design, development, and delivery of large-scale mission-critical AI systems.
Serve as a senior technical lead, defining AI and application architecture for the platform in partnership with and under the direction of the Director.
Establish enterprise modernization roadmaps aligned to mission outcomes, compliance, and scalability.
Lead architecture for distributed, cloud-native, and hybrid AI systems.
Define and enforce reference architectures, standards, and reusable frameworks.
Drive cross-program technical decision-making to ensure interoperability, security, and long-term sustainability.
Lead design, development, and deployment of advanced AI solutions, including large language models (LLMs) and foundation models, Retrieval-Augmented Generation (RAG) systems, agentic workflows, and orchestration frameworks.
Architect and implement scalable AI applications and services using Next.js, cloud-native APIs, and managed AI services across AWS, Azure, and GCP.
Build full-stack AI applications end to end, from user-facing interfaces to back-end services, APIs, and data layers.
Integrate AI and LLM capabilities into existing enterprise applications and legacy platforms (e.g., content management, case management, and records systems) via APIs, middleware, and event-driven patterns.
Oversee the full AI solution lifecycle: data pipelines, evaluation, deployment, and monitoring.
Drive LLM performance and cost optimization (e.g., caching, prompt and context optimization, model selection).
Establish robust MLOps practices leveraging GitHub-based automation, CI/CD pipelines, and tooling.
Stand up the enterprise CI/CD-to-AI/MLOps pipeline, beginning with time-boxed proofs of concept and MVP implementations that mature into production systems.
Serve as SME in federal AI policy (e.g., NIST AI RMF, OMB M-25-21 and M-25-22, Executive Order 14179).
Define and operationalize Responsible AI frameworks, including model validation and evaluation, bias mitigation and fairness, and explainability, auditability, and safety.
Ensure compliance with FISMA, FedRAMP, NIST 800-53, privacy, and Section 508 requirements.
Lead large-scale modernization initiatives (e.g., legacy-to-cloud, microservices transformation, including refactoring and re-platforming efforts).
Define repeatable modernization frameworks and accelerators.
Oversee DevSecOps pipelines and CI/CD automation (e.g., GitHub Actions), zero-trust architectures, and secure software supply chain practices.
Ensure delivery of resilient, high-availability systems in regulated federal environments.
Lead multiple concurrent engineering efforts across integrated teams.
Provide technical leadership to architects, engineers, and DevSecOps specialists, including establishing coding standards and engineering best practices.
Mentor senior engineers and technical leaders; elevate engineering excellence and code quality.
Support technical strategy in proposals, captures, and client engagements.
Contribute to thought leadership (whitepapers, architecture patterns, platform strategy).

Requirements

Must of a U.S. Citizen, as mandated by our government client.
Must be able to complete/pass/hold at a minimum a Public Trust Investigation / background check. An active clearance (e.g. Public Trust, Secret, or higher) is preferred.
Must be based / reside in the U.S.
12+ years of software engineering experience combining senior technical leadership, hands-on expertise in AI and LLM systems built on a modern cloud stack (Next.js, Terraform, GitHub, AWS, Azure, and GCP), and ownership of enterprise architecture, governance, and innovation.
8+ years of applied AI/ML experience, including building and deploying production systems (LLMs, generative AI, and large-scale or distributed model systems) Expert-level full-stack development experience, including designing production-grade AI systems, data pipelines, and microservices-based architectures.
6+ years of significantly demonstrated leadership responsibility experience.
Expert-level proficiency across the platform stack (Next.js, Terraform, GitHub, AWS, Azure, and GCP), including building large-scale AI applications, APIs, and data pipelines.
Full-stack engineering skills, including modern front-end frameworks (e.g., Next.js/React), back-end services, RESTful APIs, microservices, and cloud-native deployment (e.g., containers, Kubernetes).
Deep expertise in LLMs and generative AI, including transformer-based model architectures and their practical application.
Proven ability to integrate AI capabilities into existing and legacy enterprise systems (e.g., legacy CMS or COTS platforms) using APIs, middleware, connectors, and event-driven architectures.
Strong understanding of large-scale data systems and ML evaluation methodologies.
Experience working with sensitive data, including PII safeguards such as anonymization, masking, and data loss prevention.
Experience with enterprise integration technologies, including REST/SOAP services, message queues, ETL pipelines, and SQL/NoSQL databases.
Expertise designing AI systems in cloud-native, distributed environments across AWS, Azure, and GCP.
Proficiency with infrastructure as code, including Terraform, for provisioning and managing cloud environments.
Proficiency with managed generative AI services (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI) and integrating frontier models such as GPT, Claude, and Gemini.
Hands-on experience with LLM application stacks, including orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel), embeddings, vector databases, and prompt engineering
Experience with AI platforms and architectures (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI, RAG, agents).
Proven success delivering enterprise-scale systems and modernization programs.
Strong background in microservices, APIs, distributed systems, and DevSecOps practices.
Demonstrated ability to translate AI research into production systems.
Demonstrated ability to own solutions end to end, from discovery and prototyping through production deployment, integration, and ongoing support.
Ability to balance strategic vision with deep hands-on technical execution.
Excellent analytical skills, attention to detail, and strong problem-solving abilities.
Excellent communication and collaboration skills to communicate complex analytical insights to executive and non-technical stakeholders. Ability to translate ambiguous business questions into analytical solutions.
BS or MS degree (preferred) in engineering, data science, computer science, statistics or related field.

Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. $159k -$201k.

Salary Description

$159k - $201k

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