Jobs in the United States

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Added 3 mins ago
Sr Software Engineer
ServiceNow
Santa Clara, CA
…500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting…
Added 4 mins ago
Associate Software Engineer (Hybrid)
Vizient
Irving
Contribute to web applications using React, TypeScript, or comparable frontend technologies.
Added 11 mins ago
GD
School Culture Associate
Green Dot Public Schools
Los Angeles, CA
- $22.11 to $23.88 USD / hour
react quickly and appropriately in emergencies
Added 29 mins ago
C
Software Engineer Full Stack / Backend I (Full Time) - United States
Cisco
Austin, TX
- Full-time
…enterprises to visualize, tackle, and optimize complex cloud-native architectures in real time, serving as a vital pillar in Cisco and Splunk’s unified Observability and Cloud Operations…
Added 38 mins ago
Senior Test Automation Engineer
STERIS Corporation
Houston, TX
Experience testing React-based applications and modern web architectures.
Added 40 mins ago
Software Developer (Remote)
Koniag Government Services
MD
The Software Developer works closely with the CTIS‑M DME team to build backend services, user interfaces, workflow logic, and cloud-native features using technologies such as.NET 10, React,…
Added 40 mins ago
QA Automation Engineer (Remote)
Koniag Government Services
MD
Validate .NET 8 APIs, React UI flows, and workflow logic across CTIS‑M RG modules.
Added 46 mins ago
AI Engineer (AI Accelerator Program)
UCSF
San Francisco, CA
Identify and build systems for implementation, monitoring, and maintenance of AI/ML tools using modern MLOps practices including CI/CD, model versioning, and cloud-native deployment.
Added 1 hour ago
TT
Product Engineer, Mid-Senior
True Talent Solutions Partners
New York, NY
- $140,000 to $200,000 USD / year
- Experience shipping scalable applications across frontend and backend, with skills in TypeScript, React or React Native, Node.js, and PostgreSQL.
Added 1 hour ago
Software Engineering Lead
EarthOptics
Raleigh, NC
Maintaining or shipping a production mobile application. React Native and TypeScript/JavaScript experience is strongly preferred.
Added 1 hour ago
TT
Founding Full-Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $240,000 USD / year
- Strong full-stack skills with technologies such as TypeScript, Python, React, React Native, Node.js, AWS, GCP, or similar platforms.
Added 2 hours ago
Senior Software Engineer
Grainger Businesses
CHICAGO, IL
This role is primarily focused on frontend development (approximately 70%) using React, Next.js, and TypeScript, while also contributing to backend services and event-driven systems…
Added 2 hours ago
UG
Software Engineer (Full Stack Developer) - Remote
UnitedHealth Group
Austin, TX
- $72,800 to $130,000 USD / year
We are seeking a highly motivated Software Engineer (Full Stack Developer) to design, develop, and support modern enterprise web applications. In this role, you will work across the full…
Added 2 hours ago
CS
Cloud Engineer II (Full Time) - United States
Cisco Systems, Inc.
Milpitas, CA
- Full-time
…exciting is the scale of our impact; we are building cloud-native, AI-integrated solutions that solve the most complex challenges in zero-trust security and identity management. If you are…
Added 2 hours ago
Senior Software Engineer
US: Mastercard Technologies, LLC
O'Fallon, MO
…technical solutions using JAVA technology stacks and Angular/ React front-end technologies. The successful candidate will contribute to software architecture, performance engineering,…
Added 2 hours ago
Software Engineer II
US: Mastercard Technologies, LLC
O'Fallon, MO
Develop, test, deploy, monitor, and support cloud-based applications and services using AWS and cloud-native technologies while following established architecture patterns and engineering…
Added 2 hours ago
Engineer 1 - Inventory
Nordstrom Inc
Seattle, WA
…Kubernetes. You are able to clearly articulate what building cloud native applications entails and have experience using at least one of the two major cloud platforms. (AWS, GCP). You are…
Added 2 hours ago
Principal Software Engineer, Agentic UX
Workday, Inc.
CA
…capabilities that bring Workday’s agents to life. You are an AI-native builder, not a pure frontend developer. You will own features end-to-end, connecting the agentic logic directly to the…
Added 2 hours ago
Senior Full Stack AI Engineer (US Citizen)
Remote, United States
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,…
Added 3 hours ago
Senior Java Full Stack Engineer
Capgemini
New York, NY, NY · Irving, TX, TX
…expertise in designing, developing, and deploying scalable cloud-native applications on AWS. The ideal candidate will have deep experience in Java-based microservices, AWS services, modern…
Added 3 hours ago
Software Engineer, Backend
Vercel
San Francisco, CA
…from idea to production with speed, security, and exceptional developer…
Added 3 hours ago
Associate Software Engineer (Hybrid)
Vizient, Inc.
Irving, TX
Contribute to web applications using React, TypeScript, or comparable frontend technologies.
Added 3 hours ago
Full-Stack Developer
Vamonos IT
Remote, United States
Full-Stack Developer to design, develop, modernize, and maintain enterprise-level software applications supporting mission-critical federal government operations.
Added 3 hours ago
Java Product Engineer / Full Stack Java Developer
Vamonos IT
Remote, United States
Java Product Engineer / Full Stack Java Developer to design, develop, modernize, deploy, and support enterprise software applications in mission-critical environments.
Added 3 hours ago
Infrastructure Software Engineer II (Remote - US)
BNSF Railway
United States
This is a full stack infrastructure engineering role, involving backend services, APIs, and developer-facing tooling for our infrastructure and platform services

Senior Full Stack AI Engineer (US Citizen)

Remote, United States

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Job details

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

Original job description

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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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