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Added 28 mins ago
Lead AI Engineer
Jobgether
Remote, United States
Define and lead the architecture of generative AI solutions, including multi-agent workflows, retrieval-augmented generation (RAG), and large language model (LLM) integrations.
Added 28 mins ago
J
Full-Stack Platform Engineer
Jobgether
Remote, United States
- $190,000 to $215,000 USD / year
Integrate AI and machine learning capabilities into enterprise applications, including LLM APIs, retrieval-augmented generation (RAG), and advanced prompt engineering techniques.
Added 1 hour ago
Principal, AI Agent Control & Governance
ATB
AB, CA
…observability frameworks (logging, evaluation operations metrics, LLM latency, and performance metrics) to resolve issues…
Added 1 hour ago
J
Sr Cyber Engineer
Jobgether
Remote, United States
- $120,500 USD / year
Added 2 hours ago
GI
Senior Data Strategy & Analytics Specialist
Genentech, Inc.
United States
- $107,400 to $199,400 USD / year
You champion the safe adoption of modern AI coding tools and LLM assistants (e.g., Claude Code, Copilot) to accelerate analytical workflows, while establishing practices to safeguard…
Added 2 hours ago
J
Associate Director, AI & Applied Solutions
Jobgether
Remote, United States
- $140,000 to $190,000 USD / year
Execute applied data science initiatives, covering hypothesis development, model selection, evaluation, and deployment of machine learning and LLM-based solutions.
Added 2 hours ago
Staff Software Engineer, Fullstack
QXO
Seattle, WA
Build product relationship services that use embeddings and LLM-based product attribute extraction to identify complementary and substitute items for cross-sell, recommendations, and…
Added 2 hours ago
Senior AI Engineer, Banking Technology
Citibank, N.A.
United States
Full‑Stack AI Engineering: Build full‑stack applications integrating LLM‑driven workflows and AI coding tools (e.g., Devin, GitHub Copilot).
Added 2 hours ago
Principal AI/ML Engineer - TS/SCI w/ Poly
Parsons Corporation
Baltimore, MD
Design and integrate LLM/agent orchestration workflows using agentic frameworks such as LangGraph, Agno, and the NVIDIA NeMo Agent Toolkit.
Added 3 hours ago
Commercial Banking Applied AI Consulting Manager
Accenture LLP Company
NY
Minimum of 2 years of experience building generative and agentic AI solutions on LLM platforms (e.g., Anthropic Claude, OpenAI, Azure OpenAI) integrated with banking platforms.
Added 3 hours ago
Research and Engineering Intern, Agentic Systems Intelligence – Summer 2027
NVIDIA USA
CA · TX · WA
…Demonstrate measurable improvements in correctness, performance, or developer…
Added 3 hours ago
Lead Technical SEO Manager
Zoom
Helena, MT
Added 3 hours ago
PM
Lead Forward Deployed Engineer
Prologis Management
Denver, CO
- $200,000 to $285,000 USD / year
Added 3 hours ago
Marketing Director, National Media
Government Employees Insurance Company
New York City, NY · Bethesda, MD
Added 3 hours ago
Lead Analyst, Data Platform Engineering
United Rentals, Inc.
Remote, United States
Familiarity with AI/LLM enablement and tools such as Claude, ChatGPT, Microsoft Copilot, Github Copilot, Snowflake Cortex Code
Added 3 hours ago
Developer Advocate
Wafer
San Francisco, CA
We're looking for a Developer Advocate: an engineer who can write and a marketer who can build. You'll make Wafer the obvious choice for developers who need fast inference, by showing them…
Added 4 hours ago
Staff Software Development Engineer · IT Design & Development
IQVIA INC (US10)
Wayne, PA
Experience working with LLM and building functionality with AI agents (Preferred).
Added 4 hours ago
Lead AI and Data Science Engineer II
Deloitte
Des Moines, IA · Davenport, IA
Lead the design of, and advise on, Large Language Model (LLM) solutions for enterprise-wide documentation (e.g., Retrieval-Augmented Generation (RAG), Continued Pre-training (CPT),…
Added 4 hours ago
AA
Product Manager, Incentives
Augeo Affinity Marketing, Inc.
St Paul, MN
- $125,000 to $152,000 USD / year
Experience contributing to a generative AI or LLM-based feature in production.
Added 4 hours ago
Applied AI Engineer II
Blue Origin LLC
Seattle, WA
…critical processes using the latest AI and Large Language Model (LLM) technologies. As a Software Developer focused on Artificial Intelligence, you join us to build the next generation of…
Added 4 hours ago
Sr. AI Agent Developer (Remote)
CrowdStrike
Tallahassee, FL
LLM/Agent experience: Deep understanding of large language models and modern AI systems, with a proven ability to design, build, and optimize practical agent solutions.
Added 4 hours ago
Data Scientist, Marketing & eCommerce
The Wonderful Company
Minneapolis, MN
This position also offers the opportunity to explore emerging AI and Large Language Model (LLM) technologies as we expand their use across analytics and business workflows.
Added 4 hours ago
Data Scientist, Marketing & eCommerce
The Wonderful Company
Houston, TX
This position also offers the opportunity to explore emerging AI and Large Language Model (LLM) technologies as we expand their use across analytics and business workflows.
Added 5 hours ago
Summer 2027 Applied Gen AI/Data Scientist Graduate Intern
Highmark Health
Montpelier, VT
Typical responsibilities include developing GenAI-powered applications and prototypes, evaluating and optimizing LLM outputs, researching advanced AI techniques, designing and validating…
Added 5 hours ago
Senior/Principal Cybersecurity - Software and AI Security, Onsite
Sandia National Laboratories
Albuquerque, NM
Design and implement guardrails for emerging technologies, including LLM agents and workflows.

Jobgether

Full-Stack Platform Engineer

Remote, United States

$190,000 to $215,000 USD / year

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Job details

Pay: $190,000 to $215,000 USD / year
Experience: At least 10 years of software or platform engineering experience, including senior technical leadership or solution architecture responsibilities.
Posting language: English
Posted: Nov 6, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Full-Stack Platform Engineer based in the United States.

We are seeking an experienced Full-Stack Platform Engineer to provide technical leadership and hands-on engineering for a secure enterprise data analytics platform supporting federal operations. In this role, you will architect and develop scalable web applications, APIs, cloud solutions, and complex data integrations. You will leverage modern technologies such as React, Node.js, Python, AWS, and advanced data platforms to deliver reliable and high-performance solutions. You will also drive secure software development practices, DevSecOps automation, and the integration of AI and machine learning capabilities. Working within a mission-driven environment, you will collaborate with multidisciplinary teams, mentor engineers, and guide critical technical decisions. This fully remote opportunity offers the chance to contribute to impactful federal technology initiatives while working on modern, security-focused engineering solutions. Accountabilities

As a Full-Stack Platform Engineer, you will lead the architecture, development, and continuous improvement of enterprise platforms while ensuring security, scalability, and operational reliability. Your responsibilities will include:

• Lead the architecture, design, and development of full-stack applications using React, Node.js/Express, Python frameworks such as Flask and FastAPI, REST APIs, and advanced SQL.

• Design, implement, and maintain cloud-based data integrations, ETL/ELT pipelines, and data processing solutions using Databricks or equivalent analytics platforms.

• Develop and enhance data quality capabilities to ensure the accuracy, consistency, and reliability of enterprise data.

• Establish and promote secure engineering and DevSecOps practices, including CI/CD pipelines, automated security testing, containerization, infrastructure as code, and code reviews.

• Integrate AI and machine learning capabilities into enterprise applications, including LLM APIs, retrieval-augmented generation (RAG), and advanced prompt engineering techniques.

• Ensure the secure handling and processing of sensitive information within AI-enabled applications and data workflows.

• Architect and implement solutions within AWS, applying appropriate identity and access management, networking, secrets management, encryption, logging, and security controls.

• Provide technical leadership and architectural guidance throughout the software development lifecycle.

• Mentor and support engineering teams, promoting technical excellence, knowledge sharing, and engineering best practices.

• Troubleshoot complex platform and production issues, identify root causes, and implement effective solutions.

• Communicate technical recommendations, architectural decisions, and potential risks clearly to stakeholders.

• Ensure platform solutions align with federal security requirements and applicable regulatory frameworks.

Requirements

The ideal candidate combines extensive full-stack and platform engineering experience with strong cloud architecture, cybersecurity, and technical leadership capabilities. The following qualifications are expected:

• Must be a U.S. citizen.

• Must be able to obtain and maintain a Public Trust clearance.

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.

• At least 10 years of software or platform engineering experience, including senior technical leadership or solution architecture responsibilities.

• Strong hands-on experience with React, Python and/or Node.js, REST APIs, and advanced SQL.

• Solid experience designing and supporting cloud-based solutions using AWS.

• Familiarity with modern data platforms and analytics technologies, including Databricks or equivalent solutions.

• Experience implementing CI/CD pipelines and modern DevSecOps practices.

• Hands-on knowledge of Docker, Kubernetes or Amazon ECS, Terraform, Git, and automated security testing tools.

• Strong understanding of application security, IAM/RBAC, OWASP practices, observability, and secure cloud architecture.

• Experience supporting federal government or other regulated environments.

• Familiarity with federal cybersecurity and compliance frameworks, including FISMA, NIST SP 800-53, FedRAMP, and Authority to Operate (ATO) processes.

• Ability to lead complex technical initiatives, mentor engineers, and make sound architectural decisions.

• Strong analytical and troubleshooting skills, with the ability to resolve challenging platform and infrastructure issues.

• Excellent communication and collaboration skills, including the ability to explain technical concepts and recommendations to diverse stakeholders.

Preferred qualifications:

• AWS certifications or other relevant cloud architecture credentials.

• CISSP or CompTIA Security+ certifications.

• Databricks certifications or equivalent data engineering credentials.

• Certified Kubernetes Administrator (CKA), Certified Kubernetes Security Specialist (CKS), or comparable technical certifications.

Physical requirements:

• Ability to perform standard office and computer-based activities, including sitting, standing, talking, hearing, reaching, and operating computers and office equipment.

• Close vision capabilities required for regular computer work.

• Ability to occasionally lift or move objects weighing up to 15 pounds.

• Fine motor skills and manual dexterity for regular keyboarding and computer use.

• Reasonable accommodations may be provided to enable individuals with disabilities to perform essential job functions.

Benefits

• Annual salary: $190,000–$215,000.

• Fully remote work arrangement.

• Paid time off and holiday pay.

• Medical, dental, and vision insurance.

• Disability insurance, life insurance, and Accidental Death and Dismemberment (AD&D) coverage.

• Flexible Spending Accounts (FSAs).

• Pre-tax 401(k) and/or after-tax Roth IRA retirement savings options.

• Employer matching contributions to retirement plans.

• Tuition reimbursement and technical training support.

• Exercise and wellness reimbursement.

• Computer and equipment reimbursement.

• Employee Assistance Program (EAP).

• Opportunities for professional development and technical growth.

• Inclusive working environment with a commitment to equal employment opportunities.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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