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Added just now
Senior Engineer
Terracon
Blue Bell, PA
…investigations, engineering analysis, calculations, and recommendations, design and development of plans and specifications, observation and inspection, and the writing, preparation, and…
Added just now
Sr. Application Infrastructure Engineer
MED Medtronic Inc
Newton, MA · Mounds View, MN
…technology. Medtronic is looking for an experienced infrastructure engineer to help build and run the cloud infrastructure behind the Affera Digital Platform, which is transforming cardiac…
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Research & Development Engineer I - Onsite
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As an R&D Engineer I, you will develop spinal implants, instruments, and systems while collaborating with cross-functional teams and customers throughout the new product development…
Added 1 min ago
Senior Project Engineer
Skanska USA
Raleigh, NC
The Senior Project Engineer serves as a key member of the project team and works closely with project managers, superintendents, subcontractors, clients, design teams, and internal…
Added 1 min ago
Thermal Systems Engineer, Senior Engineer or Staff Engineer (Hybrid)
Dominion Energy
RICHMOND, VA
Engineer: This role is fully competent in all conventional aspects of the subject matter. Second level position in the engineering series provides engineering support in designated company…
Added 2 mins ago
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Gas to Power Engineering Design Manager
AECOM
Houston, TX
- $190,000 to $240,000 USD / year
AECOM is seeking a Gas to Power Engineering Design Manager with a technical background to join our growing U.S. Energy team. This individual will lead the technical development,…
Added 2 mins ago
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Construction Program Management Director
AECOM
New York, NY
- $285,000 to $330,000 USD / year
Knowledge of alternative delivery methods, including Design-Build, CMAR, and Public-Private Partnerships (P3)
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Senior Scientist II / Principal Research Scientist I - Analytical R&D
AbbVie
North Chicago, IL
- $124,500 to $236,500 USD / year
…analytical scientists to frame high-value scientific questions, engineer and integrate complex analytical data, and develop fit-for-purpose models, visualizations, and digital solutions…
Added 3 mins ago
Electrical Engineer
Hitachi Global
South Boston, VA
Bring your expertise in electrical design to Hitachi Energy and help power the future of North America. As a Senior Electrical Design Engineer, you will join a highly specialized team…
Added 3 mins ago
Controls Design Engineer
Hitachi Global
South Boston, VA · Raleigh, NC
Hitachi Energy. is seeking a skilled Controls Design Engineer to design, develop, and implement advanced controls and monitoring panels for Power transformers, ensuring optimal performance…
Added 4 mins ago
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Product Engineer
Insight Global
San Jose, CA
- $190,000 to $215,000 USD / year
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Senior Software V&V Engineer
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Aligning all software testing processes with IEC 62304 and ISO 13485 design control requirements, and ensuring the team operates consistently within that framework.
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Data Engineer (BigQuery)
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Northramp is seeking a Data Engineer (BigQuery) to join the team supporting a mission-critical effort to consolidate, modernize, and operate our client's enterprise cloud services across…
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High Voltage Core Systems Engineer
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Packaging Engineer
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Mechanical Engineer IV
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…Piqua, Ohio, is the global leader in advanced aircraft propeller design and manufacturing for general aviation. The company supports piston-engine and turboprop aircraft while developing…
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Senior Full Stack AI Engineer (US Citizen)
Remote, United States
Serve as a senior, hands-on full-stack AI engineer, leading the design, development, and delivery of large-scale mission-critical AI systems.
Added 6 mins ago
Senior AI Software Developer & Engineer (US Citizen)
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Solutions Engineer
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Senior Infrastructure Engineer, AI & ML, Penguin Random House (Open to Remote)
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Senior Electrical Engineer(PE); Dayton, OH
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Senior Principal Quality Engineer
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GIS FIELD ENGINEER / SUPERVISOR
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The Manufacturing Engineer will establish internal processes that safely ensures the production of high-quality products that meet all technical specifications across multiple Stator Bar…

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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