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Added 7 mins ago
BV
AI Platform Engineer
Bright Vision Technologies
Remote, United States
- $100,000 to $180,000 USD / year
Design and maintain scalable AI model serving platforms.
Added 7 mins ago
BV
Salesforce Platform Architect
Bright Vision Technologies
Remote, United States
- $175,000 to $200,000 USD / year
We are seeking a Salesforce Paltform Architect to design and govern enterprise Salesforce implementations across Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, and Industry…
Added 11 mins ago
Vice President, Communications
Xometry
Waltham, MA · North Bethesda, MD · Boston, MA
CEO and executive communications. Serve as the CEO's primary communications counselor and voice architect. Run to a planned cadence and personally draft or refine keynotes, bylines and…
Added 11 mins ago
Vice President, Communications
Xometry
North Bethesda, MD · Boston, MA
CEO and executive communications. Serve as the CEO's primary communications counselor and voice architect. Run to a planned cadence and personally draft or refine keynotes, bylines and…
Added 13 mins ago
Lead Analytics Engineer
PRINTERLOGIC, LLC
LEHI, UT
…a Lead Analytics Engineer to serve as the primary technical architect of our data platform. This is a high-ownership, hands-on role where you will design and govern the systems that power…
Added 13 mins ago
Technical Architect II - AI-Native
COTIVITI, INC.
SOUTH JORDAN, UT
Added 13 mins ago
Workday Healthcare Financial Implementation Consultant
WORKDAY, INC.
SALT LAKE CITY, UT
…healthcare industry, and implementation expertise by serving as an architect and advisor while ensuring the financial solutions alignment with other functional areas in the Workday product…
Added 35 mins ago
Senior Azure Cloud Integration Engineer
LEIDOS, INC.
Rockville, MD
Certifications in Azure Administration, Azure Development or Power Platform (Fundamentals/Associate/Developer/Architect).
Added 44 mins ago
Applications Developer VI
General Atomics
Poway, CA
…and Innovation Architecture organization for a Senior Mendix Architect experienced in Mendix and Cloud Native application development and digital…
Added 45 mins ago
Lead Application Security Architect
Raymond James & Associates, Inc.
Saint Petersburg, FL
The Raymond James Enterprise Application Security Architecture team is seeking a Lead Security Architect to strengthen our organization’s security posture by focusing on secure design…
Added 45 mins ago
Customer Delivery Architect (Remote)
Cisco
San Jose, CA
Cisco is seeking a Customer Delivery Architect (CDA) to support one of the world’s largest hyperscale web customers in the Seattle area. This role is focused on next-generation data center…
Added 45 mins ago
Efficiency AI Ops Engineer Hybrid
Cisco
San Jose, CA
…engineering problem. You will not just "use" AI - you will architect, optimize, and scale it. You will tackle high-impact problems like LLM token efficiency, automated model routing, and…
Added 45 mins ago
Director, Physical AI
Cisco
San Jose, CA
Architect and deploy autonomous quadruped and humanoid patrol routines across Cisco global data centers.
Added 47 mins ago
Technical Program Manager
SanDisk
Milpitas, CA
The PMO Manager (Lead Program Manager), PMO & Procurement Strategy and Product Enablement (PSPE) Transformation will architect, implement, and lead a formal Project Management Office within…
Added 55 mins ago
Director, Architect, Data & Analytics
Coca-Cola North America
Atlanta, GA
Establish MLOps practices for model and experiment versioning, reproducibility, CI/CD, automated deployment, model registries, monitoring, drift detection, retraining and production support.
Added 1 hour ago
AC
Senior Solutions Consultant
Appian Corporation
Denver, CO
- $40,123 USD / year
…and business stakeholders alike under our SC 2.0 operating model, proving Appian's undisputed value in competitive enterprise market…
Added 1 hour ago
Software Development Engineer in Test
Meta
Seattle, WA
…distributed software systems and products. In this role, you will architect test infrastructure, establish organization-wide quality standards, and drive systemic improvements to…
Added 1 hour ago
W
Manager, Revenue Operations and Scaled Services
Walmart
HOBOKEN, NJ
- $96,000 to $186,000 USD / year
…predictive and prescriptive Revenue Operations forecasting model solutions - including multi-segment customer lifecycle analysis - that meet business goals and drive commercial pipeline…
Added 1 hour ago
AI/ML Platform Engineer
CACI International
Lisle, IL
Architect a greenfield implementation of LLM-enabled technologies to support agentic workflows
Added 1 hour ago
IG
Lead Python Engineer
Insight Global
Remote, United States
- From $74 USD / hour
Architect complex agentic workflows and orchestration using LangGraph, LangChain, or similar frameworks.
Added 1 hour ago
AM
Lead AI Solutions Architect, Supply Chain
Advanced Micro Devices
Fort Collins, CO
- $140,000 to $210,000 USD / year
In this highly visible role, you will help architect, develop, and operationalize AIdriven analytics solutions that transform AMD's endtoend supply chain. You will work across planning,…
Added 2 hours ago
Enterprise AI Engineering & Platforms Manager
General Dynamics Electric Boat
Groton, CT
Architect the enterprise AI foundation. Define and support implementation of the platforms, infrastructure, architecture, and engineering capabilities required to deploy AI at enterprise…
Added 2 hours ago
Technical Architect 4C
Genpact LLC
United States
Support the adoption of AI/ML and AIOps practices, including model lifecycle monitoring, AI-driven alerting, and operational intelligence solutions.
Added 2 hours ago
Technical Architect 4C
Genpact LLC
United States
Support the adoption of AI/ML and AIOps practices, including model lifecycle monitoring, AI-driven alerting, and operational intelligence solutions.
Added 2 hours ago
Cloud Network Security Engineer
BlackRock
New York, NY
Architect robust security solutions for containerized applications.Implement network segmentation, micro-segmentation, and zero-trust principles.Design end-to-end encrypted connectivity…

Jobgether

Full Stack Engineer, Agentic AI

Remote, United States

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Job details

Posting language: English

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 Engineer, Agentic AI based in United States.

Join a remote-first digital product engineering team building innovative, AI-powered applications for ambitious startups, established brands, and enterprise clients. In this role, you will combine full-stack engineering expertise with generative AI, large language models (LLMs), and agentic workflows to transform complex business challenges into production-ready solutions. You will work across the entire development lifecycle, from understanding client needs and designing technical architectures to deploying, testing, and optimizing scalable applications. Collaborating with experienced engineers, designers, and cross-functional teams, you will help deliver intelligent products that create measurable business value. The position offers exposure to diverse industries, modern technology stacks, and emerging AI capabilities. If you thrive in autonomous environments, enjoy solving challenging problems, and want to shape the next generation of AI-driven products, this opportunity offers meaningful technical ownership and continuous learning. Accountabilities

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Client engagement and solution discovery: Collaborate directly with clients to understand their business objectives, technical environments, operational challenges, and product requirements, translating them into actionable engineering solutions.

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Full-stack application development: Architect, build, test, and deploy scalable applications using technologies such as TypeScript, React, Node.js, Python, and Go, integrating AI and data capabilities throughout the application stack.

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Agentic AI development: Design and implement AI-powered applications and agentic workflows, including integrations with model context protocol (MCP) servers, LLM tools, and intelligent automation systems.

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LLM integration and optimization: Host, configure, tune, and manage large language models and related services, selecting appropriate models, libraries, and infrastructure to meet performance, cost, and reliability requirements.

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AI-powered feature engineering: Develop intelligent capabilities such as chatbots, information extraction, document generation, semantic search, data normalization, and other AI-driven product features.

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AI quality assurance and experimentation: Establish testing infrastructure, structured experimentation workflows, and evaluation frameworks to validate model outputs, improve prompt performance, and ensure reliable agent behavior.

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MLOps and LLMOps: Apply engineering best practices for monitoring, testing, deployment, observability, and operational reliability across AI-enabled applications and services.

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Data engineering and infrastructure: Design and implement scalable data pipelines, data lakes, and supporting infrastructure to enable efficient data processing and AI-powered functionality.

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Technical decision-making: Evaluate architectural options, communicate technical trade-offs and risks transparently, and help clients make informed decisions about implementation strategies and technology investments.

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Cross-functional collaboration: Work closely with engineers, designers, and other stakeholders to deliver high-quality products while maintaining strong engineering standards and effective delivery practices.

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Continuous innovation: Stay informed about developments in generative AI, agentic systems, cloud technologies, and developer tooling, incorporating relevant innovations into client projects.

Requirements

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Professional experience: Approximately 4–6 years of experience as a Full Stack Engineer, with a proven track record of delivering and maintaining production software across the stack.

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Programming expertise: Strong experience with TypeScript and modern web technologies, including React and Node.js, alongside proficiency in Python or Go.

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Generative AI experience: Practical experience building AI-powered applications and integrating LLMs into production workflows. Familiarity with image or video generation is an advantage.

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LLM infrastructure: Experience hosting, tuning, and managing LLM services, libraries, or tools, with an understanding of model selection, performance optimization, and production deployment.

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Agentic workflows: Experience designing, building, and using agentic systems, including creating or integrating MCP servers and connecting models with external tools and services.

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AI application development: Demonstrated experience delivering AI-driven features such as chatbots, intelligent search, information extraction, document construction, or automated data transformation.

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Prompt engineering and experimentation: Familiarity with prompt design, structured experimentation, evaluation methodologies, and iterative improvement of model outputs.

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Model customization: Experience fine-tuning large language models using open-source models or commercial services.

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Testing and reliability: Confidence in establishing testing infrastructure for AI applications, validating agent behavior, and addressing the reliability challenges associated with non-deterministic model outputs.

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Cloud and data platforms: Experience with at least one major cloud provider, such as AWS, Google Cloud Platform, or Microsoft Azure, particularly data and machine learning services such as BigQuery or SageMaker.

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Consulting and client management: Previous experience in consulting, contracting, or client-facing engineering roles, with the ability to manage expectations, communicate progress, and deliver against project timelines.

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Adaptability and ownership: Comfortable working autonomously in a fast-moving environment, navigating ambiguity, learning unfamiliar technologies, and adapting to different client requirements and technical stacks.

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Communication and collaboration: Strong problem-solving skills and the ability to explain technical decisions clearly while collaborating with engineers, designers, and business stakeholders.

Additional experience that would be beneficial includes:

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Kubernetes, Docker, and container orchestration.

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ETL frameworks and data pipeline tools, such as Apache Airflow.

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Mobile application development using React Native or native iOS and Android technologies.

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Strong product design sensibility and user experience intuition.

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Statistics, data science, or advanced analytical techniques for intelligent data processing.

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Relevant technical certifications, open-source contributions, or published technical work.

Benefits

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Remote-first flexibility: Work from anywhere, with the freedom to choose your preferred workspace, provided you have a reliable internet connection.

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Comprehensive healthcare: Health, dental, and vision coverage for employees.

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Retirement benefits: A 401(k) plan for eligible employees based in the United States.

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Unlimited paid time off: Flexible vacation policy with an encouraged minimum of 15 days off annually, supporting rest and work-life balance.

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International team retreats: Regular company retreats at destinations around the world, with opportunities to bring a plus-one.

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Professional development: Work across multiple industries and cutting-edge AI projects while learning from experienced engineers and designers.

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Technical autonomy: Take ownership of your work, contribute code directly, and make meaningful engineering decisions with minimal unnecessary meetings.

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Varied project experience: Build solutions for clients ranging from early-stage startups to established global brands and enterprise organizations.

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Collaborative culture: Join a remote-first team that values knowledge sharing, continuous learning, innovation, and practical problem-solving.

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Meaningful impact: Help shape next-generation AI products and bring emerging technologies into real-world applications.

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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More about this job

Skills

Product comprehension
Information extraction
Quality assurance
Data engineering
Process data
Decision making
Cloud technologies
Industrial software
TypeScript
React
Node.js
Python
Go
AWS
Google Cloud
Microsoft Azure
Machine learning
BigQuery
Adaptability
Communication skills
Collaboration
Problem solving
Kubernetes
Docker
Apache Airflow
React Native
Statistics

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