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Added 33 mins ago
Sr AI Engineer
T-Mobile USA, Inc.
Bellevue, WA · Frisco, TX
We’re seeking a Senior AI Engineer to architect and optimize the agentic AI systems driving the evolution of customer service. You’ll design AI that performs with precision and coordinates…
Added 2 hours ago
AI Engineer
Moring Ai
Alpharetta, GA
…features inside these systems end to end, with a tech lead and an architect making the deepest design calls and reviewing yours. You'll also work with our enterprise customer, usually…
Added 2 hours ago
Senior AI Platform Engineer (Tech Lead)
Moring Ai
Alpharetta, GA
…inside that organization build and deploy agentic AI workflows: Python applications that call LLMs, use tools, and run as agents on Kubernetes. The platform includes an LLM gateway, an…
Added 2 hours ago
Senior AI Platform Architect
Moring Ai
Alpharetta, GA
We are hiring a Senior AI Platform Architect to own the architecture of this platform. You have 10–12 years of experience and you have built platforms before: a cloud platform, a developer…
Added 3 hours ago
O
Principal Software Engineer – Oracle Labs & Experiences (Oracle Labs)
Oracle
United States
- $118,700 to $194,400 USD / year
Professional level certifications (OCI Architect, AWS Solutions Architect, Azure Administrator, GCP Professional Cloud Engineer, NVIDIA Certified) strongly preferred.
Added 3 hours ago
Java Architect
HEXAWARE
United States
Good knowledge in Python, LangChain, and LangGraph - added advantage
Added 4 hours ago
T
Sr. Network Engineer
TEKsystems
San Diego, CA
- $103,480 to $161,200 USD / year
Cloud networking experience (Azure and/or AWS)
Added 4 hours ago
Full Stack Engineer, Agentic AI
Jobgether
Remote, United States
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…
Added 4 hours ago
Forward Deployed Engineer (AI Capability Center) - Internal Facing - Multiple Openings!
Huron Consulting Group
Chicago, IL
This person builds the solution and works with the business day to day inside a pod. The Solution Architect owns the design and the Engagement Manager owns the schedule, so this seat is…
Added 4 hours ago
Forward Deployed Engineer Associate (AI Capability Center) - Internal Facing
Huron Consulting Group
Chicago, IL
This person builds the solution and works with the business day to day inside a pod. The Solution Architect owns the design and the Engagement Manager owns the schedule, so this seat is…
Added 5 hours ago
Platform Security Engineer
Booz Allen Hamilton_United States
McLean, VA
Security+, AWS Solutions Architect, AWS Security, or CISSP Certifications
Added 6 hours ago
J
Director, Infrastructure Technology
Jobgether
Remote, United States
- $130,000 to $150,000 USD / year
…have reliable, secure, and scalable technology. The role spans AWS, Microsoft Azure, Microsoft 365, Linux and Windows environments, endpoint management, cybersecurity, and enterprise…
Added 6 hours ago
Product Manager, Data Scientist
Applied Materials
Santa Clara, CA
Architect a centralized Intelligence Hub spanning savings, margin, revenue, returns, and out-of-control (OOC) indicators to provide real-time visibility into product-line health, reduce…
Added 7 hours ago
Sr. DevOps Engineer
LiveRamp
San Francisco, CA
Architect and evolve CI/CD pipelines, deployment strategies, and release automation to enable fast, safe, and repeatable delivery across dozens of microservices.
Added 8 hours ago
Senior Apigee Platform Architect
Capgemini
Atlanta, GA, GA
Capgemini is seeking an Apigee Platform Architect to lead the design, deployment, and management of enterprise API management platforms across hybrid cloud and on-premises environments.…
Added 8 hours ago
Senior Enterprise AI Security Engineer
Palo Alto Networks, Inc.
CA
Nice to have: Relevant cloud or security certifications (e.g., AWS solutions architect, Google Cloud certified - Associate, CCSP, PCNSE).
Added 8 hours ago
Principal Software Engineer (Prisma Access)
Palo Alto Networks, Inc.
CA
Cloud Architecture & Infrastructure Scale: Architect and scale multi-cloud environments (AWS, GCP, OCI) using Kubernetes, Terraform, and service meshes (e.g., Istio) to maintain high…
Added 8 hours ago
SS
Software Engineer, Test Infrastructure (AI DevEx)
Sift Stack, Inc.
Marina Del Rey, CA · San Francisco, CA
- $180,000 to $230,000 USD / year
…challenging. This is a foundational, high-ownership opportunity to architect and scale the infrastructure that powers how we develop, test, and ship…
Added 8 hours ago
T
Practice Architect II-IAM
TEKsystems
Hanover, MD
- $148,200 to $222,400 USD / year
The IAM Practice Architect is a senior technical leader responsible for the execution and delivery of enterprise Identity and Access Management (IAM) solutions. This role balances…
Added 8 hours ago
Senior Backend Software Engineer - Kalepa for Operations
Kalepa
NY
Lead the scoping, design, and delivery of complex backend systems in Python on AWS: services, data models, and asynchronous pipelines.
Added 8 hours ago
Security Engineer, GRC
Treasure AI
Remote, United States
Treasure AI is hiring a Security Engineer, GRC to architect, build, and automate the systems that power our Trust & Assurance (T&A) program. The right person for this role gets frustrated…
Added 9 hours ago
Staff Reliability Engineer - Veza
ServiceNow
Remote, United States
…initiatives and drive innovation across our organization. You'll architect scalable solutions, navigate complex technical challenges independently, and deliver results under tight deadlines…
Added 9 hours ago
Network Security & SASE Architect – Palo Alto Networks Senior Manager
Accenture LLP Company
NY
…practice who is a recognized Palo Alto Networks network security architect. You have personally designed, deployed and troubleshot PAN-OS Next-Generation Firewalls, Prisma Access and…
Added 9 hours ago
CX Machine Learning Engineer
Cisco Systems, Inc.
San Jose, CA
In this role, you will architect, build, and scale enterprise-grade AI/ML and Generative AI solutions - including predictive models, RAG architectures, and autonomous agentic workflows -…
Added 10 hours ago
AI Research Engineer Stf - Engineering Transformation
Lockheed Martin
Remote, United States
Partnering with the AI Portfolio Chief Architect, Engineering Knowledge & Data Integration Architect, Data and AI Enablement, IT Applications, and Engineering Function teams to establish…

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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