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DevOps Engineer (Hybrid)
Citizant Inc
Washington, DC
- $106,000 to $120,000 USD / year
We are seeking a skilled DevOps Engineer to join our team and support the installation, configuration, monitoring, and patching of applications within USCP Windows environments. This role…
Added just now
Sr. Product Engineer
Atkore
Harvey, IL · Merrillville, IN
We are currently searching for a Sr. Product Engineer to be based out of Harvey, IL or Hobart, IN. Reporting to the Senior Manager – Product Engineering (Conduit & Fittings), This role…
Added 1 min ago
Clerk - 1st Shift - Lebanon, IN 1
GXO Logistics
Lebanon, IN
Participate in and guide team in the Lean warehousing system on the floor
Added 3 mins ago
AWS Java Full Stack Engineer
Infosys
United States
⦁ Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
Added 3 mins ago
Senior Antenna Engineer
Astranis
San Francisco, CA
As a Senior Antenna Engineer you will be responsible for the design, qualification, and procurement of antenna system components for ongoing production as well as R&D programs. You will…
Added 3 mins ago
Piping Field Engineer - Testing
Bechtel
New Albany, OH
The Piping Field Engineer - Testing supports the project pressure testing program for piping, tubing, and components. Reporting to the Lead Pipe Testing Field Engineer, you will prepare…
Added 3 mins ago
Senior Mechanical Engineer with CFD Expertise
ARA Brand
Panama City, FL
ARA’s Engineering Science Division is seeking an experienced mechanical engineer with computational fluid dynamics (CFD) expertise to support the design, development, prototyping,…
Added 4 mins ago
CI
IT Systems Engineer
CATAWBA INDIAN NATION
Rock Hill, SC
- $110,000 to $126,000 USD / year
The Systems Engineer is responsible for the administration, maintenance, security, availability, and continued improvement of the Catawba Nation’s on-premises and cloud-based technology…
Added 4 mins ago
DI
Software Engineer
DoorDash, Inc
Seattle, WA
- $153,600 to $230,400 USD / year
Software Engineer, DoorDash, Inc., Seattle WA. Develop a 24x7, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. Perform…
Added 4 mins ago
Senior Principal Embedded Engineer, AI Solutions
Autodesk
Remote, United States
Autodesk Technical Advisory is seeking a highly technical and customer-focused Senior Principal Embedded Engineer, AI Solutions to join our new Embedded Engineering (forward-deployed…
Added 5 mins ago
Senior Application Engineer
ALLIENT INC
Williamsville, NY · Rochester, NY
Allient Inc. is in growth mode and currently seeking a Senior Application Engineer to join our team in Rochester, New York!
Added 5 mins ago
Application Engineer
ALLIENT INC
Williamsville, NY · Rochester, NY
Allient Inc. is in growth mode and currently seeking an Application Engineer to join our team in Rochester, New York!
Added 5 mins ago
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Reliability Test Engineer
Actalent
Mountain View, CA
- $60 to $75 USD / hour
Job Title: Reliability Test EngineerJob DescriptionThe Reliability Test Engineer will join a Verification & Validation team to execute environmental qualification strategies, including…
Added 5 mins ago
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Principal BMS Engineer
Actalent
Ann Arbor, MI
- $150,000 to $200,000 USD / year
Job Title: Principal BMS EngineerJob DescriptionThe Principal Battery Management System (BMS) Engineer provides technical leadership, architectural ownership, and long-term stewardship of…
Added 5 mins ago
Planning Engineer
Actalent
Chattanooga, TN
Job Title: Planning EngineerDescription:The Planning Engineer will be responsible for managing projects in an automotive manufacturing environment. The position is 50% hands on and 50%…
Added 5 mins ago
A
Controls Engineer
Actalent
Sparta, TN
- $50 to $67 USD / hour
Job Title: Controls / Manufacturing EngineerJob DescriptionThe Controls / Manufacturing Engineer develops, improves, troubleshoots, and maintains manufacturing processes, automated…
Added 6 mins ago
WD
Staff Machine Learning Engineer
Walt Disney Pictures
Burbank, CA
- $158,100 to $211,900 USD / year
The Staff Machine Learning Engineer is part of the Creative Technology Platform organization within Studio Technology. This role leads applied deep learning work in computer vision and…
Added 6 mins ago
DE
Product Software Engineer II
Disney Entertainment & Sports LLC
Bristol, CT
- $119,200 to $159,800 USD / year
The production software Engineering Product Development team is seeking a software engineer capable of building the services that power a wide array of ESPN media management applications…
Added 6 mins ago
CRUS Field Service Engineer 2
Daifuku
HILLSBORO, OR
…related peripherals (CLW-600, CLW-700, CLW-07)• Maintain FOUP system as directed by EIC• Equipment Log Analysis as directed by…
Added 7 mins ago
Senior Vice President, Infrastructure Engineering (Mainframe Communications Systems Software Engineer
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Jersey City, NJ
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Added 7 mins ago
Senior Forward Deployed Engineer (FDE Lead
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East Pittsburgh, PA
Experience with API design, system integration, and secure engineering practices
Added 7 mins ago
Technical Support Engineer
DeepHealth
Remote, United States
The Technical Support Engineer L1 - Strategic Accounts serves as a dedicated technical support resource for DeepHealth's strategic and high-value customer accounts, providing advanced…
Added 7 mins ago
Technical Support Engineer
DeepHealth
Remote, United States
The Technical Support Engineer L1 - Strategic Accounts serves as a dedicated technical support resource for DeepHealth's strategic and high-value customer accounts, providing advanced…
Added 8 mins ago
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Water-Wastewater Engineer
GPAC
Raleigh, NC
- $80,000 to $125,000 USD / year
We are seeking a Water/Wastewater Engineer to join a growing, multi-disciplinary engineering consulting firm. This individual will contribute to the planning, design, and delivery of…
Added 8 mins ago
AWS Engineer
MANTECH
United States
MANTECH seeks a highly technical AWS Engineer to join our team in Herndon, VA. Join a dedicated team of cybersecurity experts focused on enhancing the customer’s cloud incident response…

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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