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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 just now
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Lead Engineer
Medina Talent Group
Irvine, CA
- $135,000 to $150,000 USD / year
The Lead Engineer for Enterprise Applications is responsible for driving the design, development, modernization, and lifecycle management of enterprise application portfolios. This role…
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Network Support Engineer
Mibura Inc.
Remote, United States
Join our team as a Network Support Engineer, where your technical & analytical skills, proactive mindset, and passion for solving complex problems with the internet will come into play.…
Added 2 mins ago
Founding Engineer (Applied AI & ML Ops)
Solstice Health
New York City, NY
Engineering chops. Relevant experience building systems & deploying enterprise-grade products
Added 2 mins ago
SD
Senior Security Operations Engineer
SunCore Digital
Remote, United States
- $165,000 to $205,000 USD / year
SunCore Digital is seeking a hands-on Senior Security Operations Engineer to assess and improve the security of our applications, cloud environments, development practices, identities,…
Added 2 mins ago
SD
Mobile Test Engineer
SunCore Digital
Scottsdale, AZ · Bellevue, WA
- $135,000 to $155,000 USD / year
SunCore Digital is seeking a Mobile QA Engineer, Flutter to own hands-on testing of our Flutter-based mobile applications across supported Android and iOS devices.
Added 4 mins ago
Sr. Manufacturing Execution Systems (MES) Engineer
Community Talent Partners
Raleigh, NC
…design, configuration, and integration of Manufacturing Execution Systems (MES). The ideal candidate will serve as a technical lead and solution architect, guiding clients and engineering…
Added 4 mins ago
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Community Talent Partners
Alexandria, VA · Annapolis, MD · Aurora, CO · San Diego, CA
As a Software Engineer, you will join a high-performing agile team supporting secure enterprise systems. You will be involved in the full software development lifecycle, utilizing Scaled…
Added 6 mins ago
Senior Software Quality Engineer
Abbott Laboratories
Sylmar, CA
…applications and supporting infrastructure. This role ensures software systems are developed, verified, validated, and maintained in compliance with applicable medical device regulations,…
Added 7 mins ago
Billing Engineer
Tailscale
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We’re seeking a highly skilled and motivated Software Engineer to join our growing team. You will work as part of the engineering team to:
Added 7 mins ago
Billing Engineer
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Remote, United States
We’re seeking a highly skilled and motivated Software Engineer to join our growing team. You will work as part of the engineering team to:
Added 8 mins ago
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Head of Growth (Founding Team)
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San Francisco, CA
- $24,000 to $32,000 USD / year
…and monetization levers. You know how to run growth like an engineer: structured, data-driven, and always…
Added 9 mins ago
Support Engineer Internship
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Remote, United States
The Support Engineer / Customer Success role is the primary technical interface for our users. You'll provide timely, expert technical support to both our e-commerce customers and internal…
Added 9 mins ago
MLOps Engineer Internship
Metasys
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The MLOps Engineer is crucial for bridging the gap between data science and production, responsible for the reliable, scalable, and secure deployment of machine learning models. You will…
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Automation QA Engineer Internship
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The Automation QA Engineer is vital for ensuring the reliability, performance, and correctness of our entire supply chain e-commerce platform. You will be responsible for designing,…
Added 9 mins ago
AI/ML Engineer Internship
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The AI/ML Engineer with an AI Agent Focus is a specialized role dedicated to designing, building, and deploying autonomous AI agents that handle complex business processes independently.…
Added 10 mins ago
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Head of Engineering - Custody
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Head of Engineering
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Embedded Software Engineer (US)
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San Jose, CA · Seattle, WA · Washington, DC
- $85,000 to $135,000 USD / year
We are seeking a skilled Embedded Software Engineer to design, develop, test, and maintain software for embedded systems and connected devices. The ideal candidate will have experience in…
Added 15 mins ago
Cloud Systems & Endpoint Engineer
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Added 16 mins ago
Mechanical Engineer IV
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2027 Process Support Engineer, New College Grad - Bachelor's (Multiple Locations))
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Infrastructure Engineer I (Onsite)
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DescriptionClient is seeking a hands-on Storage Engineer to design, integrate, validate, and support enterprise storage solutions for Data platforms. The role spans storage hardware,…

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 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 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 -$189k.

Salary Description

$155k - $189k

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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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