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Added 1 min ago
OA
Senior Infrastructure Software Engineer
Overland AI
Seattle, WA
- $200,000 to $240,000 USD / year
…ship mission-critical systems. As an infrastructure software engineer, you'll design, build, the internal platforms, libraries, and tooling that enable our engineering organization to move…
Added 2 mins ago
Sr. System Development Engineer, Amazon Leo
Amazon Kuiper Manufacturing Enterprises LLC
Bellevue, WA
Design, develop, and own end-to-end delivery of scalable microservices and APIs integrating AWS services with SAP systems (S/4HANA, Ariba, SuccessFactors) using protocols such as RFC, BAPI,…
Added 4 mins ago
Engineer II, Product Development Tooling Programmer, Air Manufacturing Innovation
Nike
Beaverton, OR
…programmer partners closely with the Tool Shop, Tooling Engineering, Design Engineering, Manufacturing Engineering, and Process Engineering to deliver reliable, production-ready machining…
Added 6 mins ago
Staff Machine Learning Engineer
Indeed
United States
As a Staff Machine Learning Engineer in our Staffing Technology Marketplace group, you'll own the source data, the models and the business impact behind Indeed's AI-first staffing platform,…
Added 9 mins ago
AI and DSP Applications Software Engineer
ON, CA
We are searching for a self-motivated AI and DSP Applications Software Engineer to join the AI Processor Solutions team, which is responsible for developing machine learning-based…
Added 9 mins ago
Lead Software Engineer - Enterprise AI Services & Agents
Wellmark, Inc.
Des Moines, IA
As a Lead Software Engineer on Wellmark’s Enterprise AI Services & Agents team, you will lead the design and delivery of reusable enterprise assistants, agents, AI services, skills, and…
Added 10 mins ago
T
Sr. Data Scientist
TEKsystems
Dallas, TX
- $60 to $75 USD / hour
…modularization, testing, performance tuning) 3. Hands-on experience with Machine Learning pipeline development and productionization (model deployment, orchestration, monitoring, and…
Added 11 mins ago
Senior AI Software Developer & Engineer (US Citizen)
Remote, United States
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…
Added 12 mins ago
Senior DevSecOps Engineer (Contingent)
Mile Two, LLC
Dayton, OH
…creating seamless integrations between human expertise and machine capabilities to tackle complex…
Added 12 mins ago
Engineer
Scotiabank
Dallas, TX
We are seeking a Senior AI Engineer to design, build, and operate AI and agentic solutions supporting Canadian Banking, International Banking, Global Banking and Markets (GBM), Global…
Added 20 mins ago
Systems Engineer
Grantek Systems Integration
Remote, United States
From concept to design to execution, be part of the team that gets everyday products to people.
Added 20 mins ago
Systems Engineer
Grantek Systems Integration
Remote, United States
From concept to design to execution, be part of the team that gets everyday products to people.
Added 20 mins ago
GS
Systems Engineer
Grantek Systems Integration
San Jose, CA
- $95,000 to $120,000 USD / year
…enterprise level, using a variety of programming, configuration, and design tools: PLC and PAC Programming, Operator Interface and HMI application design, SCADA design, Network design,…
Added 20 mins ago
Systems Designer
Grantek Systems Integration
Cleveland, OH
…enterprise level, using a variety of programming, configuration, and design tools: PLC and PAC Programming, Operator Interface and HMI application design, SCADA design, Network design,…
Added 20 mins ago
Systems Engineer
Grantek Systems Integration
Remote, United States
From concept to design to execution, be part of the team that gets everyday products to people.
Added 20 mins ago
Systems Engineer
Grantek Systems Integration
Indianapolis, IN
…enterprise level, using a variety of programming, configuration, and design tools: PLC and PAC Programming, Operator Interface and HMI application design, SCADA design, Network design,…
Added 21 mins ago
AS
Design Engineer II
Air Squared Manufacturing, LLC
Thornton, CO
- $85,000 to $100,000 USD / year
We are seeking a Design Engineer II to join our growing team as we kick off several new product development programs. This role is focused on the design, analysis, and prototyping of…
Added 23 mins ago
Machine Learning Engineer
Atlassian
Remote, United States
What you'll doAs a Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training models, collaborating with…
Added 23 mins ago
Senior Machine Learning Engineer
Atlassian
Remote, United States
…being a distributed-first company.Atlassian is seeking a Senior Machine Learning Engineer to join our Central AIteam. The Central AI organization constructs the fundamental infrastructure,…
Added 25 mins ago
Manufacturing Engineer II
Lennox International
Stone Mountain, GA
The Manufacturing Engineer II plans and designs manufacturing processes in an industrial plant. In addition, the engineer provides direct advisory support in the design, fabrication,…
Added 28 mins ago
Senior Robotics Software Engineer – AI-Enabled Manipulation & Industrial Automation
General Motors LLC
Mountain View, CA
Design and deploy robotic applications for industrial automation, including pick-and-place, material handling, part transfer, machine tending, inspection support, and vision-guided…
Added 35 mins ago
System Development Engineer, Amazon Leo
Amazon Kuiper Manufacturing Enterprises LLC
Bellevue, WA
…opportunity to work across distributed systems, security, and machine learning in a supportive, growth-oriented…
Added 37 mins ago
Senior Business Systems Engineer
NFP Corp
Windsor, CT
The Senior Business Systems Engineer will be responsible for designing, implementing, and maintaining business systems to support the organization's operations. This role requires an expert…
Added 38 mins ago
C
Platform Engineer, Biotech
Clera
San Francisco, CA
- $180,000 to $240,000 USD / year
…biomedical data into reliable, model-ready assets. You will help design and operate the platform, with a focus on secure, governed data systems and production infrastructure for scientific…
Added 40 mins ago
Senior Software Development Engineer in
SONY CORPORATE SERVICES GROUP INC
MADISON, WI
…creative freedom to make their ideas real. Sr Software Development Engineer in Test, ML Locations: Madison, WI and Waterloo, Ontario Canada PlayStation is seeking a Sr Software Development…

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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