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Added 2 mins ago
AI & Data Solutions Engineer
Vastian
United States
This is a key position in Vastian's strategy to become an agent-centric business, empowering both business operations and client- facing solutions with efficient, effective AI. The engineer…
Added 3 mins ago
Hiring: AI Engineer | Agentic AI, AWS Bedrock AgentCore & Langfuse | 15+ Years
TMS LLC
Los Angeles, CA
Job Title: AI Engineer / Generative AI Engineer
Added 6 mins ago
Associate Director, Pharmaceutical Data Engineer
MSD
West Point, PA · Rahway, NJ
Added 7 mins ago
Senior Offensive Security Engineer
Unity Technologies SF
Remote, United States
AI and agentic systems: test LLM integrations, AI-native products, and agent workflows for issues such as prompt injection, data leakage, tool misuse, and excessive permissions.
Added 10 mins ago
Cloud Engineer Marketing Data Platform
Capgemini
New York, NY, NY
Google Cloud Professional certification (Cloud Architect, Cloud Security Engineer, or Cloud DevOps Engineer)
Added 12 mins ago
Senior Forward Deployed Engineer (FDE Lead)
Syncreon Consulting
Pittsburgh, PA
Added 18 mins ago
EG
Senior Data Engineer
Eliassen Group
Augusta, ME
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 23 mins ago
K
Angular - AI Application Engineer
Kforce
Charlotte, NC
- $51 to $57 USD / hour
Kforce has a client that is seeking an Angular - AI Application Engineer in Charlotte, NC.
Added 25 mins ago
EG
Senior Data Engineer
Eliassen Group
Helena, MT
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 32 mins ago
Senior Deployment Engineer
Celonis
NC
As a Senior Deployment Engineer, you are the backbone of Celonis delivery. You lead the hands-on implementation of Celonis solutions for enterprise customers, combining platform expertise…
Added 32 mins ago
Senior Deployment Engineer
Celonis
NY
As a Senior Deployment Engineer, you are the backbone of Celonis delivery. You lead the hands-on implementation of Celonis solutions for enterprise customers, combining platform expertise…
Added 38 mins ago
Forward Deployed Engineer
ResolveAI
New York, NY
…by building a transformative, truly autonomous AI Production Engineer that investigates and fixes complex system issues…
Added 47 mins ago
Senior Data Engineer (GenAI / AWS) | Claude Agent SDK | Amazon Bedrock | Python | 14+ years of experience
TMS LLC
Remote, United States
Build AI agents using Claude Agent SDK and deploy them on Amazon Bedrock AgentCore Runtime.
Added 49 mins ago
EG
Senior Data Engineer
Eliassen Group
Baton Rouge, LA
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 51 mins ago
DC
Senior Engineer - ML Operations
Danaher Corporation
Remote, United States
- $180,000 to $220,000 USD / year
The Senior MLOps Engineer is responsible for owning significant parts of the machine learning and agentic AI lifecycle that powers Danaher’s next generation of AI-driven products and…
Added 55 mins ago
Head of Security & IT
Allium
New York, NY
- Set the security approach for AI agents. Establish practical standards for agent identities, tool permissions, credential handling, execution isolation, data access, and logging. Partner…
Added 1 hour ago
AI Security Engineer
Fisher & Phillips LLP
Atlanta, GA
Fisher Phillips, a premier international labor and employment law firm is seeking an experienced AI Security Engineer to design, implement, and continuously improve security controls for…
Added 1 hour ago
AI Engineer
SAIC
College Park, MD
We are seeking a Senior AI Engineer to design, develop, and deploy IRIS, an AI agent supporting the HFDP Data Integration project. IRIS will help users discover, connect, and understand…
Added 1 hour ago
T
Voice Engineer
TEKsystems
Baltimore, MD
- $60 to $68 USD / hour
We are seeking an experienced NICE SmartReach / LiveVox Platform Engineer to join our Contact Center and Telephony team. This role requires deep hands-on experience with SmartReach…
Added 1 hour ago
EG
Senior Data Engineer
Eliassen Group
Annapolis, MD
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 1 hour ago
TT
Founding Engineer
True Talent Solutions Partners
New York, NY
- $165,000 to $185,000 USD / year
- One to three years of experience as a software engineer, founding engineer, or founding AI engineer, plus a four-year degree.
Added 1 hour ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
New York, NY
- $180,000 to $250,000 USD / year
…business knowledge into reliable data models and production agent…
Added 1 hour ago
H
Technical Customer Support Engineer, North America (Weekend Coverage)
Hercules
Remote, United States
- $75,000 to $150,000 USD / year
We're hiring a Technical Support Engineer for weekend coverage (Thursday to Monday) to help our top customers successfully build and scale their apps.
Added 1 hour ago
EG
Senior Data Engineer
Eliassen Group
Des Moines, IA
- $101,000 to $161,800 USD / year
Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and…
Added 1 hour ago
Software Sales Senior Manager - Accenture Billing and Payments Engine
Accenture LLP Company
NY
…automated dispute resolution, payment recovery optimization and agent-driven customer…

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
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