Principal Engineer, Agentic AI

Jobgether; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Fully remote

Healthcare coverage

Flexible PTO

FSAs/HSA/401k

Learning stipend

Home office provided

Innovative engineering culture

Career growth

Autonomy

Job summary

Jobgether is seeking a senior platform architect to define and drive the technical strategy for data ingestion, processing, and AI-powered features. You will design scalable, reusable components and lead cross-functional collaboration with product and engineering leadership.

You will own agentic AI capabilities, shepherd CI/CD and IaC adoption, mentor engineers, and push for code quality and security while balancing infrastructure with new product integrations.

Qualifications

• 7+ years of professional experience designing and developing complex, web-based SaaS products.
• Strong ownership mindset, with a demonstrated ability to independently lead major technical initiatives, take accountability for outcomes, and consistently deliver high-quality results in fast-paced environments.
• Hands-on experience integrating Large Language Models (LLMs), including prompt engineering and AI-assisted development techniques.
• Proven experience building, deploying, and maintaining AI-powered features and autonomous agentic workflows in production environments.
• Practical experience integrating AI tools into CI/CD pipelines, such as automated code review agents, AI-assisted testing systems, and agentic workflow orchestration.
• Strong database expertise, including relational databases such as PostgreSQL and MySQL, as well as NoSQL technologies such as MongoDB and Redis.
• Experience with database schema design, query optimization, and building reliable data-processing systems.
• Strong understanding of scalable software architecture, modern development practices, infrastructure, and distributed systems.
• Excellent communication and collaboration skills, with the ability to explain complex technical concepts in business and product terms and influence technical decisions with senior stakeholders.
• A proactive, adaptable, and solution-oriented approach, with the ability to navigate ambiguity, challenge existing approaches, and identify opportunities for innovation.
• Nice to have: Experience with .NET, Node.js (TypeScript), and React.
• Nice to have: Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation.
• Nice to have: Previous experience as a founding engineer or within an early-stage, high-growth startup.
• Nice to have: Experience building or integrating Claude marketplace plugins and working within the Anthropic ecosystem, including prompt chaining, tool use, and Model Context Protocol (MCP) integrations.

Responsibilities

• Define and lead the technical strategy for core platform components, particularly data ingestion and processing systems that power advanced CRM functionalities and automation tools.
• Drive architectural decisions and design reusable, scalable full-stack components and services to support platform performance, reliability, and long-term growth.
• Lead the development and integration of agentic AI capabilities, designing autonomous workflows that enhance product functionality and transform engineering processes.
• Build, deploy, and optimize production-grade AI-powered features using Large Language Models (LLMs), prompt engineering, and intelligent orchestration techniques.
• Continuously adapt technical priorities to evolving business requirements, balancing core infrastructure improvements with new integrations and product development initiatives.
• Collaborate closely with Product and Engineering leadership to understand customer needs, identify technical opportunities, and translate user challenges into effective product solutions.
• Champion engineering excellence by establishing best practices in code quality, security, testing automation, and maintainability.
• Conduct in-depth code reviews, mentor engineering colleagues, and promote high technical standards across the organization.
• Influence and improve DevOps practices, including CI/CD pipelines, containerization, and Infrastructure as Code (IaC).
• Design and maintain AI-integrated, agentic-ready infrastructure that supports autonomous workflows and enables more efficient software delivery.
• Explore and implement AI-driven engineering tools, including automated code review agents, AI-assisted testing, and workflow orchestration solutions.
• Take full ownership of technical initiatives from initial concept and architecture through implementation, deployment, and continuous improvement.

Skills

Data ingestion

Architectural design

LLMs integration

CI/CD pipelines

Agentic workflows

Relational databases

NoSQL databases

Prompts engineering

Cloud infrastructure

Leadership

Tools

Terraform

CloudFormation

Node.js/TypeScript

React

Anthropic Claude plugins

Job description

Accountabilities

• - Define and lead the technical strategy for core platform components, particularly data ingestion and processing systems that power advanced CRM functionalities and automation tools.
• - Drive architectural decisions and design reusable, scalable full-stack components and services to support platform performance, reliability, and long-term growth.
• - Lead the development and integration of agentic AI capabilities, designing autonomous workflows that enhance product functionality and transform engineering processes.
• - Build, deploy, and optimize production-grade AI-powered features using Large Language Models (LLMs), prompt engineering, and intelligent orchestration techniques.
• - Continuously adapt technical priorities to evolving business requirements, balancing core infrastructure improvements with new integrations and product development initiatives.
• - Collaborate closely with Product and Engineering leadership to understand customer needs, identify technical opportunities, and translate user challenges into effective product solutions.
• - Champion engineering excellence by establishing best practices in code quality, security, testing automation, and maintainability.
• - Conduct in-depth code reviews, mentor engineering colleagues, and promote high technical standards across the organization.
• - Influence and improve DevOps practices, including CI/CD pipelines, containerization, and Infrastructure as Code (IaC).
• - Design and maintain AI-integrated, agentic-ready infrastructure that supports autonomous workflows and enables more efficient software delivery.
• - Explore and implement AI-driven engineering tools, including automated code review agents, AI-assisted testing, and workflow orchestration solutions.
• - Take full ownership of technical initiatives from initial concept and architecture through implementation, deployment, and continuous improvement.

Requirements:

• - 7+ years of professional experience designing and developing complex, web-based SaaS products.
• - Strong ownership mindset, with a demonstrated ability to independently lead major technical initiatives, take accountability for outcomes, and consistently deliver high-quality results in fast-paced environments.
• - Hands-on experience integrating Large Language Models (LLMs), including prompt engineering and AI-assisted development techniques.
• - Proven experience building, deploying, and maintaining AI-powered features and autonomous agentic workflows in production environments.
• - Practical experience integrating AI tools into CI/CD pipelines, such as automated code review agents, AI-assisted testing systems, and agentic workflow orchestration.
• - Strong database expertise, including relational databases such as PostgreSQL and MySQL, as well as NoSQL technologies such as MongoDB and Redis.
• - Experience with database schema design, query optimization, and building reliable data-processing systems.
• - Strong understanding of scalable software architecture, modern development practices, infrastructure, and distributed systems.
• - Excellent communication and collaboration skills, with the ability to explain complex technical concepts in business and product terms and influence technical decisions with senior stakeholders.
• - A proactive, adaptable, and solution-oriented approach, with the ability to navigate ambiguity, challenge existing approaches, and identify opportunities for innovation.
• - Nice to have: Experience with .NET, Node.js (TypeScript), and React.
• - Nice to have: Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation.
• - Nice to have: Previous experience as a founding engineer or within an early-stage, high-growth startup.
• - Nice to have: Experience building or integrating Claude marketplace plugins and working within the Anthropic ecosystem, including prompt chaining, tool use, and Model Context Protocol (MCP) integrations.

Benefits:

• - Equity options: Opportunity to participate in the company's growth and share in its long-term success.
• - Fully remote work: Work from anywhere in the United States.
• - Healthcare coverage: 100% employer-paid medical insurance.
• - Flexible paid time off: Flexible PTO policy with a 15-day minimum.
• - Financial benefits: Access to Flexible Spending Accounts (FSA), Health Savings Accounts (HSA), and 401(k) options.
• - Learning and development: Dedicated learning stipend to support continuous professional growth and technical development.
• - Remote work support: Home office equipment provided to help create a productive working environment.
• - Innovative engineering culture: Opportunities to influence emerging AI technologies and contribute to an agentic-first engineering environment.
• - Career growth and ownership: Significant autonomy, technical leadership opportunities, and the ability to shape major products from concept to launch.
• - Collaborative environment: Work alongside talented professionals in a flexible, forward-thinking, and growth-oriented team.