Remote jobs in the United States

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Added 7 mins ago
Backend Software Engineer - Agent Foundation
Northrop Grumman
Remote, United States
Northrop Grumman is seeking Backend Software Engineers to join the Agent Foundation team within i2 Ecosystem & Experience. You will build the APIs and backend services that support…
Added 51 mins ago
E
EverHealth - Software Engineer
Evercommerce
Remote, United States
- $130,000 to $160,000 USD / year
As a Software Engineer III, you will be a hands-on engineer on a small, nimble team building EverHealth’s AI-enabled RCM platform end to end. Zoomed in, that means the worklist where…
Added 3 hours ago
PI
Senior Platform Engineer - AI Platform
Porch.com, Inc.
Remote, United States
- $168,800 to $236,300 USD / year
ISN is hiring a Senior Platform Engineer to lead AI-first platform work at the intersection of agentic systems and production infrastructure. You'll design and ship the systems that let…
Added 3 hours ago
Backend Software Engineer - Agent Foundation
CORP-Corporate Office
Remote, United States
Northrop Grumman is seeking Backend Software Engineers to join the Agent Foundation team within i2 Ecosystem & Experience. You will build the APIs and backend services that support…
Added 4 hours ago
Performance Test Engineer
ILAB LLC
Remote, United States
The Performance Test Engineer is a technical leader in the Advanced Services organization and a strategic participant in customer engagements. The Performance Test Engineer helps set the…
Added 6 hours ago
Research Engineer
Galois, Inc.
Remote, United States
What We Do: We believe trustworthy systems are built on a formal mathematical foundation. Our researchers apply formal analysis techniques to the design and verification of critical…
Added 6 hours ago
Research Engineer
Galois, Inc.
Remote, United States
What We Do: We believe trustworthy systems are built on a formal mathematical foundation. Our researchers apply formal analysis techniques to the design and verification of critical…
Added 6 hours ago
Research Engineer
Galois, Inc.
Remote, United States
What We Do: We believe trustworthy systems are built on a formal mathematical foundation. Our researchers apply formal analysis techniques to the design and verification of critical…
Added 6 hours ago
Research Engineer
Galois, Inc.
Remote, United States
What We Do: We believe trustworthy systems are built on a formal mathematical foundation. Our researchers apply formal analysis techniques to the design and verification of critical…
Added 6 hours ago
Research Engineer
Galois, Inc.
Remote, United States
What We Do: We believe trustworthy systems are built on a formal mathematical foundation. Our researchers apply formal analysis techniques to the design and verification of critical…
Added 6 hours ago
Sheet Metal Estimating Manager
Gallo Mechanical
Remote, United States
Attend pre-bid walkthroughs, scope review meetings, and client/engineer coordination sessions.
Added 6 hours ago
Sheet Metal Estimating Manager
Gallo Mechanical
Remote, United States
Attend pre-bid walkthroughs, scope review meetings, and client/engineer coordination sessions.
Added 7 hours ago
Lead Engineer, Data (Remote, US)
Allstate
Remote, United States
The Lead Engineer will provide senior engineering leadership across two strategic teams: the Risk Data Team and the Risk AI Engineering Team. This role is accountable for setting technical…
Added 8 hours ago
ServiceNow Platform Administrator (Engineer)
Thrivent Financial for Lutherans
Remote, United States
…CMDB/CSDM, and Workflow Data Fabric within a product operating model. You will own upgrades and releases, keep instances stable and secure, and partner with engineers and stakeholders to…
Added 8 hours ago
Lead Engineer, Data (Remote, US)
Allstate Insurance Co.
Remote, United States
The Lead Engineer will provide senior engineering leadership across two strategic teams: the Risk Data Team and the Risk AI Engineering Team. This role is accountable for setting technical…
Added 8 hours ago
O
Head of IT & Security
OpenEd
Remote, United States
- $195,000 to $220,000 USD / year
Our Culture (The Foundation of Everything We Do)
Added 8 hours ago
FW
Senior Platform Engineer
Foresight Works Ltd
Remote, United States
- $180,000 to $240,000 USD / year
We're looking for a Senior Platform Engineer to build the cloud foundation that Foresight runs on.
Added 8 hours ago
FW
Senior Platform Engineer
Foresight Works Ltd
Remote, United States
- $180,000 to $240,000 USD / year
We're looking for a Senior Platform Engineer to build the cloud foundation that Foresight runs on.
Added 8 hours ago
FW
Senior Data Engineer
Foresight Works Ltd
Remote, United States
- $180,000 to $240,000 USD / year
We're looking for a Senior Data Engineer to build the data foundation behind Foresight.
Added 8 hours ago
FW
Senior Data Engineer
Foresight Works Ltd
Remote, United States
- $180,000 to $240,000 USD / year
We're looking for a Senior Data Engineer to build the data foundation behind Foresight.
Added 9 hours ago
Agentic Photonic Design Engineer
Flexcompute Inc.
Remote, United States
We're looking for an Agentic Photonic Design Engineer to join the PhotonForge team. This is a software development role at the intersection of photonic design automation, EDA integration,…
Added 10 hours ago
Senior Chaos Engineer
Solace Corporation
Remote, United States
Enterprise AI is moving from pilots to production, and the constraint is no longer the model - it's the data. Agents are only as good as what they can sense, trust, and act on in the…
Added 10 hours ago
Staff Software Engineer, Simulation
Agility Robotics
Remote, United States
Agility Robotics is building the world's most capable humanoid robots, and we're looking for a senior engineer to help build the simulation software at the foundation of it. You'll be one…
Added 11 hours ago
Senior ML/AI Engineer
GuruLink
Remote, United States
…secure data handling, containerized inference, and managed foundation-model services under PHI…
Added 11 hours ago
Lead ML/AI Engineer
GuruLink
Remote, United States
The Lead ML/AI Engineer is the technical lead for the platform that turns model predictions into real-world actions for patients and care teams. The data science group runs a growing set of…

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 6, 2026

Original job description

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Job Type

Full-time

Description

NOTE: This is a full-time employment opportunity and open to W2, 1099, or C2C (no third parties or staffing agencies, please). The candidate MUST be a U.S. Citizen (preferred) or U.S, Permanent Resident (GC). 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 (preferred) or U.S. Permanent Resident (GC), 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, preference given to candidates in the DMV area.
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.

This role is open to W2 or 1099/C2C engagements. Compensation/rate 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 -$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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