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Principle Engineer/Solutions Architect (JAVA)
INTELLISWIFT INC
Phoenix, AZ
Job Title: Principle Engineer/Solutions Architect
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API Developer
INTELLISWIFT INC
Lehi, UT
Client is seeking a contractor Sr. Web Services Software Engineer to build the next generation APIs for Client Analytics, Client’s industry-leading analytics platform. The Client Analytics…
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Jr. QA Tester
I.T. Excel LLC
Newark, NJ
- $55,000 to $58,000 USD / year
I.T. Excel is a new breed of service firm - an industry-focused consulting and integration firm offering a broad range of solution offerings to clients from a broad range of Industries. ITE…
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Sr. Technical Trainer and Mentor/ Sr. QA Engineer
I.T. Excel LLC
Reston, VA
We are a fast growing service firm - an industry-focused consulting and integration firm offering a broad range of solution offerings to clients from a broad range of Industries.
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Network Engineer (Defense Industry Clearance Requirement)
ITEC
Aurora, CO
Provide technical support to network Service Desk or customer operations, if requested.
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APPS SYSTEMS ENGINEER 6
INT Technologies
Phoenix, AZ
We are looking for a candidate (contract position) for a Senior Software Engineer role in our Consumer Lending Technology group’s Lending Grid Integration Technology team. Lending Grid…
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Cisco UC Automation Engineer
IPsoft
New York, NY
IPsoft is a global autonomic services provider, delivering Managed Services, Platform-as-a-Service, Automation-as-a-Service and Autonomic Cloud Orchestration. The company’s mission is to…
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IP Telephony Engineer
IPsoft
Austin, TX
IPsoft is a global autonomic services provider, delivering Managed Services, Platform-as-a-Service, Automation-as-a-Service and Autonomic Cloud Orchestration. The company’s mission is to…
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Help Desk Engineer
IPsoft
New York, NY
IPsoft is a global autonomic services provider, delivering Managed Services, Platform-as-a-Service, Automation-as-a-Service and Autonomic Cloud Orchestration. The company’s mission is to…
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Junior Quality Assurance Engineer
INENT INC
Omaha, NE
…disciplines. We serve our clients with the highest level of service standards, never compromising our integrity and commitment to excellence. The products and services are targeted at niche…
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Java Build Engineer
INENT INC
San Jose, CA
…disciplines. We serve our clients with the highest level of service standards, never compromising our integrity and commitment to excellence. The products and services are targeted at niche…
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Lead Engineer
INENT INC
Washington, DC
…disciplines. We serve our clients with the highest level of service standards, never compromising our integrity and commitment to excellence. The products and services are targeted at niche…
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Lead Engineer
INENT INC
Washington, DC
…disciplines. We serve our clients with the highest level of service standards, never compromising our integrity and commitment to excellence. The products and services are targeted at niche…
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Senior GoLang Engineer
Insilico
Oakland, CA
With a current clientele of top semiconductor companies, Insilico has a wide and diversified spectrum of service offerings in expansive domains within the ambit of Embedded Design &…
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Sr. Build Engineer – Solutions Architect / SME
INENT INC
San Jose, CA
…disciplines. We serve our clients with the highest level of service standards, never compromising our integrity and commitment to excellence. The products and services are targeted at niche…
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Infrastructure Project Manager
INENT INC
Newark, NJ
…disciplines. We serve our clients with the highest level of service standards, never compromising our integrity and commitment to excellence. The products and services are targeted at niche…
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Lead Core Java Big Data Developer
Innovizant LLC
New York, NY
…Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science,…
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Linux VmWare Operations Engineer
Information International Associates, Inc.
Remote, United States
The Senior Linux VMWare Operations Engineer will support the client’s Infrastructure Services Division’s (ISD) Operating Systems Operations Section (OSOS) by performing administration and…
Added 1 min ago
HVAC Service Sales
Huckestein Mechanical
Duquesne, PA
A leading service and design-build HVACR contractor in the Pittsburgh area is seeking a seasoned Sales Engineer to join our team.
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Principal Software Engineer - Cloud Platform
Sunnyvale, CA
Position: Principal Software Engineer - Cloud Platform
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Technical Marketing Engineer and Writer
Hedgehog
Remote, United States
As Hedgehog's first Technical Marketing Engineer, you will play a key role in defining this critical job function at a fast growing open source company leading the AI Network category. In…
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Sales for Flow Meter & pump
GPE INC.
Newark, NJ
Qualified candidates will be first hired as technical sales, which the job responsibilities are as follow:
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GDH Consulting Req
Georgia IT Inc
Walnut Creek, CA
EDUCATION: Typically requires BSEE/CS or equivalent plus 5-10 years experience in a technical consulting, network engineering or telecommunications support environment. MS strongly…
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Sr. Systems Engineer
Halo Group
Austin, TX
Job Description: The Senior Systems Engineer works as part of a team responsible for the design of the system architecture, server infrastructure management, and advanced technical support.…
Added 1 min ago
GeneDx Software Engineer -- Lab Informatics
GeneDx, Inc
Gaithersburg, MD
GeneDx is seeking a Software Engineer - Lab Informatics (FT, 40 hours) to work at the Gaithersburg, MD location Monday through Friday 8:30 a.m. to 5:00 p.m.

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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