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Electrical Design Engineer
GPAC
Camden, AR
- $80,000 to $110,000 USD / year
Design for Manufacturability (DFM):Optimize electrical designs for production efficiency, cost reduction, and high assembly yields.
Added 1 min ago
IG
Robotics Engineer
Insight Global
Fort Wayne, IN
- From $45 USD / hour
We are looking for a Controls / Robotics Engineer to support launch execution within a high-volume automotive assembly plant. This person will be responsible for independently…
Added 1 min ago
IG
REMOTE Data Scientist
Insight Global
Remote, United States
- From $55 USD / hour
Experience deploying GenAI solutions into production environments
Added 1 min ago
IG
REMOTE ML Ops Engineer
Insight Global
Remote, United States
- From $71 USD / hour
…within their environment and are seeking an experienced MLOps Engineer to help operationalize, scale, and support AI solutions in…
Added 1 min ago
IG
Data Engineer - INTL India - 94b043a3
Insight Global
Remote, United States
- From $13 USD / hour
We are seeking an experienced Data Engineer to design, develop, and optimize cloud-based data solutions within the Azure ecosystem. This role will focus heavily on building scalable data…
Added 1 min ago
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Customer Data Traceability Engineer
Renesas Electronics
Palm Bay, FL
- $159,000 to $198,000 USD / year
Renesas Electronics is looking for a Senior Staff Quality Engineer to serve as the customer-facing quality lead for top-tier hyperscale datacenter and cloud customers. The role will drive…
Added 3 mins ago
Staff Machine Learning Engineer
ServiceNow
Santa Clara, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 mins ago
Distinguished Platform Engineer
ServiceNow
Santa Clara, CA
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 mins ago
Quality Engineer
Hennig
United States
The Quality Engineer will be responsible for the continuous improvement of Hennig Incorporated's Quality Management System. This includes developing, implementing, and maintaining strategic…
Added 4 mins ago
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Staff Software Engineer - Michelangelo Job Controller Team
Uber
Sunnyvale, CA · San Francisco, CA
- $232,000 to $258,000 USD / year
Leading at Uber means setting direction in motion, not waiting for perfect conditions. As a Senior Software Engineer on the Michelangelo Job Controller team, you will help build the compute…
Added 5 mins ago
Process Engineer II
Repligen Corp
Marlborough, MA
The Process Engineer will be required to perform duties on a computer, in an office environment and on the production floor. The employee will be required to work closely with employees on…
Added 5 mins ago
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Maintenance Engineer
GPAC
Eden Prairie, MN
- $34 to $41 USD / hour
A global leader in food processing technology is seeking a Maintenance Engineer to join its technical applications team.
Added 5 mins ago
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Maintenance Engineer
GPAC
Maple Grove, MN
- $34 to $41 USD / hour
A global leader in food processing technology is seeking a Maintenance Engineer to join its technical applications team.
Added 5 mins ago
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Maintenance Engineer
GPAC
Minnetonka, MN
- $34 to $41 USD / hour
A global leader in food processing technology is seeking a Maintenance Engineer to join its technical applications team.
Added 5 mins ago
Applied AI Architect
Databricks
Remote, United States
Own the end-to-end AI/ML technical strategy for your accounts, from discovery through production deployment and consumption growth
Added 5 mins ago
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Copy of Quality Engineer
Jobot
Richmond, MI
- $65,000 to $95,000 USD / year
…precision, and teamwork drive every achievement. As a Quality Engineer, you will play a key role in ensuring that products exceed the highest standards of performance, safety, and…
Added 6 mins ago
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Maintenance Engineer
GPAC
Mound, MN
- $34 to $41 USD / hour
A global leader in food processing technology is seeking a Maintenance Engineer to join its technical applications team.
Added 6 mins ago
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Founding Engineer
True Talent Solutions Partners
New York City, NY
- $200,000 to $270,000 USD / year
…applications in customers' cloud environments. As a Founding Engineer, you will take ownership of complex technical work across the infrastructure stack and help shape the product through…
Added 6 mins ago
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Product Engineer, Scrape
True Talent Solutions Partners
San Francisco, CA
- $235,000 to $260,000 USD / year
…by AI applications. You will own features from idea through production, shaping APIs and product decisions around real developer…
Added 6 mins ago
TT
Backend Infrastructure Engineer, Anti-Bot
True Talent Solutions Partners
San Francisco, CA
- $235,000 to $260,000 USD / year
- Investigate intermittent failures across the stack, resolve root causes, and maintain production systems.
Added 6 mins ago
TT
Robotics Infrastructure Engineer
True Talent Solutions Partners
Pittsburgh, PA
- $100,000 to $300,000 USD / year
- Develop and maintain production-grade C++ and Go software running on robotic platforms.
Added 6 mins ago
TT
Forward Deployed Engineer
True Talent Solutions Partners
New York, NY
- $165,000 to $215,000 USD / year
…You will own implementations from technical discovery through production readiness, helping turn deployment challenges into reusable practices that support secure, reliable AI adoption. The…
Added 6 mins ago
TT
Senior / Staff Product Engineer
True Talent Solutions Partners
San Francisco, CA
- $200,000 to $270,000 USD / year
- Own product features from customer discovery and requirements gathering through production deployment and iteration.
Added 7 mins ago
Sr. Manufacturing Engineer / Quality Engineer
Hydraulic Technologies USA, LLC
Rockford, IL
We are seeking an experienced, hands‑on Manufacturing/Quality Engineer to support daily production, improve processes, and ensure product quality in a machining and assembly environment.…
Added 7 mins ago
Electrical Test Engineer (Starfall)
SpaceX
Hawthorne, CA
Write automation software in Python to interact with units under test, test equipment, instrumentation, and production documentation systems

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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