Remote jobs in the United States

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Added 4 hours ago
Software Engineer
Turing
Remote, United States
This is a role for an experienced engineer who works independently, makes sound tradeoffs, and turns a loosely defined request into something shipped, tested, and safe to leave alone.
Added 9 hours ago
Staff ML Engineer - Embodied AI Scaling Foundations
General Motors LLC
Remote, United States
As a Staff AI/ML Engineer in the Embodied AI Data Foundations organization, you will be an individual contributor developing data-centric AI solutions that directly improve autonomous…
Added 11 hours ago
WS
Senior Machine Learning Engineer
Wiser Solutions
Remote, United States
- $160,000 to $200,000 CAD / year
Wiser Solutions is hiring a Senior ML Engineer to help build our customer-facing AI platform and get the first features into customers' hands.
Added 15 hours ago
C
Senior AI Developer
ClickUp
Remote, United States
- $200,000 to $250,000 USD / year
We're looking for a highly skilled and experienced Senior AI Engineer to join our ClickUp Engineering team, with a focus on AI evaluations. You'll own how we measure and improve the quality…
Added 17 hours ago
Sr. Solutions Engineer - AI Natives Business
Databricks
Remote, United States
As a Sr. Solutions Engineer on the AI native team supporting the Digital Natives business, you will shape the future of the big data landscape by working with the most sophisticated data…
Added 18 hours ago
ZZ
Principal Data Scientist
ZINC Zillow, Inc.
Remote, United States
- $173,000 to $290,900 USD / year
Added 18 hours ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
Serve as a senior, hands-on full-stack AI engineer and technical authority, leading the technical strategy, design, and delivery of large-scale mission-critical AI systems supporting…
Added 21 hours ago
Principal Engineer Team Lead, Behavior Safety & Metrics
Jobgether
Remote, United States
…applications and next steps. Our partner is looking for a Principal Engineer Team Lead, Behavior Safety & Metrics based in the United…
Added 1 day ago
S
Senior Software Engineer
Source
Remote, United States
- $155,000 to $175,000 USD / year
Senior Software Engineer (Backend or Full-Stack)
Added 1 day ago
Senior Distributed Systems Engineer
OpenDataLabs
Remote, United States
We’re looking for a Distributed Systems Engineer to help design and build the scalable infrastructure powering data access and compute in the Vana network.
Added 1 day ago
Machine Learning Engineer - Agentic solutions that move the music industry
Discovery
Remote, United States
…should. At the core of this? Clean data. Smart automation. And applied machine…
Added 1 day ago
Sr. Applied ML Engineer
Memory Bridge
Remote, United States
This is a rare opportunity to join our team as the founding ML engineer, where your code will directly shape how AI systems remember and learn. If you’re a strong programmer who has evolved…
Added 1 day ago
Backend Engineer
Xpert Development
Remote, United States
Strong proficiency in Python and Go, applied to building reliable, scalable backend services.
Added 1 day ago
PP
Applied AI Engineer, Artificial Intelligence (AI) Required, Work From Home
Parallel Partners
Remote, United States
- $140,000 to $200,000 USD / year
Keywords: San Francisco CA Jobs, Applied AI Engineer, A/B Testing, AI, Artificial Intelligence, Anthropic, Claude, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source…
Added 1 day ago
PP
Applied Machine Learning (ML) Engineer, Machine Learning (ML) and Artificial Intelligence (AI) Required, Work From Home
Parallel Partners
Remote, United States
- $120,000 to $160,000 USD / year
Keywords: San Francisco CA Jobs, Applied Machine Learning (ML) Engineer, AI, Artificial Intelligence, Datasets, Embedding, JAX, Machine Learning (ML) Classification, Machine Learning (ML)…
Added 1 day ago
AI Engineer - Equity Only
Luupli
Remote, United States
As an AI Engineer at Luupli, you will play a pivotal role in developing intelligent systems and orchestrating agentic workflows that power Luupli’s AI features. Your work will span…
Added 1 day ago
Senior AI Engineer (AI Automation)
TRM Labs
Remote, United States
As a Senior AI Engineer, you will be the embedded AI automation engineer for Product, building the agents, automations, and apps that help product managers, product marketers, and designers…
Added 1 day ago
Senior Software Engineer (Full-Stack / AI-Native)
Zinda Law Group, PLLC
Remote, United States
We're hiring a Senior Software Engineer who is an exceptional individual contributor, enjoys solving difficult technical problems, and knows how to turn ideas into working software quickly.
Added 1 day ago
Staff AI Engineer | Agentic Systems
Machinify
Remote, United States
…long-context documents is one of the hardest unsolved problems in applied AI, and the field is moving…
Added 1 day ago
Applied AI Engineer
Fuse Energy
Remote, United States
We’re building a cutting-edge AI team, and this role is for an engineer who wants to apply AI to real problems in energy. As an Applied AI Engineer, you’ll help build our Product Factory:…
Added 1 day ago
Cloud Engineer III
American College of Education
Remote, United States
…exceptional experiences for students around the world. As a Cloud Engineer, you will play a critical role in designing, building, automating, and supporting our Microsoft Azure cloud…
Added 2 days ago
Lead Specialist, AI Scientist
Pearson
Remote, United States
We are seeking a Lead Specialist, Applied AI Systems Engineer, to design, build, and continuously improve the intelligent systems that support Pearson’s work developing the next generation…
Added 2 days ago
Senior Machine Learning (ML) Engineer (CCC Casualty / Claims Intelligence)
EvolutionIQ
Remote, United States
As a Senior Machine Learning Engineer, you'll own models and evaluations end to end within a problem area and turn the results into product decisions. You'll join a new engineering group at…
Added 2 days ago
BG
Senior Analytics Engineer
Balor Games
Remote, United States
- $10,400 to $13,900 USD / month
Engagement: Senior Analytics Engineer (Contract)
Added 2 days ago
Staff Backend Engineer, Moderation Enforcement
Reddit
Remote, United States
We’re looking for a Staff Backend Engineer, who has interest in using applied ML to improve our automated detection and applying appropriate enforcement. We are looking for an engineer who…

Senior AI Software Developer & Engineer (US Citizen)

Remote, United States

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Job details

Experience: 8+ years of applied AI/ML experience, including building and deploying production systems (LLMs, generative AI, and large-scale or distributed model systems).
Posting language: English
Posted: Nov 5, 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 and technical authority, leading the technical strategy, design, and delivery of large-scale mission-critical AI systems supporting federal programs.
Serve as the primary technical authority, defining AI and application architecture across multiple programs.
Lead architecture for distributed, cloud-native, and hybrid AI systems.
Define and enforce reference architectures, standards, and reusable frameworks.
Establish enterprise modernization roadmaps aligned to mission outcomes, compliance, and scalability.
Drive cross-program technical decision-making to ensure interoperability, security, and long-term sustainability.
Advise senior federal stakeholders (SES-level and above) on AI adoption, modernization, and risk management.
Build full-stack AI applications end to end, from user-facing interfaces to back-end services, APIs, and data layers.
Lead design, development, and deployment of advanced AI solutions using Python as the primary development language, including large language models (LLMs) and foundation models, Retrieval-Augmented Generation (RAG) systems, agentic workflows, and orchestration frameworks.
Architect and implement scalable ML systems and services built on Python-based frameworks and APIs.
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.
Define and implement distributed training strategies (GPU/TPU clusters, parallelization, optimization).
Oversee full ML lifecycle in partnership with the senior data scientist: data pipelines, feature engineering, training, evaluation, deployment, and monitoring.
Drive model optimization techniques (quantization, distillation, caching) to improve performance and cost.
Establish robust MLOps practices leveraging Python-driven automation, 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 Python-based refactoring and re-platforming efforts).
Define repeatable modernization frameworks and accelerators.
Oversee DevSecOps pipelines, CI/CD automation, 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 Python 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).
Executive communication skills with experience influencing senior leaders.

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 Python-based AI/ML systems (including large language models), 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 Python development experience, including designing production-grade ML systems, data pipelines, and microservices-based architectures.
Hands-on experience with ML frameworks (PyTorch, TensorFlow, JAX) and distributed training (DeepSpeed, FSDP, Horovod).
Full-stack engineering skills, including front-end frameworks, back-end services, RESTful APIs, microservices, and cloud-native deployment (e.g., containers, Kubernetes).
Deep experience with cloud platforms (Azure, AWS, GCP), including FedRAMP environments and designing AI systems in cloud-native, distributed environments.
Deep expertise in machine learning and deep learning, particularly transformer-based models and LLMs.
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.
Experience managing GPU-based infrastructure or high-performance ML environments.
Demonstrated ability to translate AI research into production system.
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.
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.
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.
Experience with federal civilian agencies preferred.
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. $155k to $175k.

Salary Description

$155k - $175k

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More about this job

Skills

Regulatory compliance
Decision making
Risk management
Python
ML
CI/CD
Microservices
Supply chain management
Leadership
Communication skills
PyTorch
TensorFlow
API development
Kubernetes
Microsoft Azure
AWS
Google Cloud
Machine learning
Deep learning
LangChain
Research
CMS
Loss prevention
Data engineering
SQL
NoSQL
Analytical skills
Attention to detail
Problem solving
Collaboration
Computer science
Statistics

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