Sr. Full-Stack Developer - AI-forward

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

This role offers the opportunity to build advanced software solutions at the intersection of full-stack engineering, cloud technologies, and artificial intelligence.
You will design, develop, and maintain scalable platforms that solve complex business challenges across enterprise environments.
The position combines hands-on software development with architectural ownership, technical leadership, and innovation.
You will work with modern technologies including Salesforce, cloud services, integrations, Python, and AI-powered development tools.
The ideal candidate is passionate about engineering excellence, automation, and leveraging emerging technologies to transform how software is built.
You will join a collaborative team where engineers are empowered to create reusable solutions, influence technical direction, and deliver meaningful business impact.

The Senior Full-Stack Developer will contribute directly to building, scaling, and optimizing enterprise software solutions while establishing strong engineering practices and advancing AI-driven development workflows.

• Apply and advance AI-native software development practices by integrating AI chat tools, coding assistants, and emerging technologies into the engineering lifecycle.
• Build and maintain AI-enabled development tooling, including extensions, plugins, and integrations that improve engineering productivity.
• Develop and support Model Context Protocol (MCP) servers and related solutions that connect AI tools with internal systems and data sources.
• Continuously evaluate new AI technologies and establish practical approaches, standards, and safeguards for effective AI-assisted development.
• Design and deliver reusable platform capabilities, including shared libraries, frameworks, metadata solutions, and scalable architecture patterns.
• Develop production-quality solutions using Salesforce technologies, including Apex, Lightning Web Components, SOQL/SOSL, Flow, and CPQ configurations.
• Build and maintain integrations and services using REST and SOAP APIs, MuleSoft, ETL tools, Python, and cloud-based technologies.
• Create scalable solutions leveraging Salesforce DX, platform events, custom metadata, AWS services, and cloud development best practices.
• Lead architecture discussions, solution design reviews, and code reviews to ensure quality, consistency, and maintainability.
• Develop and manage CI/CD pipelines using tools such as GitHub, Gearset, and Salesforce DX to enable reliable and efficient deployments.
• Maintain development, testing, and production environments while ensuring system stability, performance, and compliance with service expectations.
• Troubleshoot complex technical issues, resolve production incidents, and proactively improve system reliability.
• Mentor engineers on Salesforce development, architectural approaches, coding standards, and engineering best practices.
• Collaborate with cross-functional teams to translate business requirements into scalable technology solutions.
• Influence technical strategy by identifying opportunities for innovation, improving platform capabilities, and reducing technical debt.

Requirements:

The ideal candidate is an experienced software engineer with strong Salesforce expertise, modern development skills, and a passion for using AI to improve engineering workflows and outcomes.

• 10+ years of professional software engineering experience, including at least 5 years working extensively with Salesforce platforms in complex enterprise environments.
• Advanced programming experience with Apex, SOQL/SOSL, Lightning Web Components, HTML, JavaScript, and CSS.
• Strong proficiency in Python or another object-oriented programming language.
• Experience designing and implementing Salesforce solutions across enterprise-scale environments.
• Hands-on experience with MuleSoft, DataWeave, REST APIs, SOAP APIs, and integration architectures.
• Experience developing applications and services using AWS and cloud-based technologies.
• Demonstrated ability to use AI development tools such as Claude, ChatGPT, and open-source alternatives as part of an AI-first engineering workflow.
• Experience building AI-related tooling, plugins, extensions, or comparable developer productivity solutions.
• Experience working with MCP servers or similar AI integration frameworks is preferred.
• Strong understanding of modern software architecture, distributed systems, and enterprise application design.
• Experience implementing DevOps practices, CI/CD pipelines, GitHub workflows, and automated testing strategies.
• Salesforce Administrator and Salesforce Developer / Platform Developer certifications required.
• Strong analytical and problem-solving skills with the ability to manage complex technical challenges.
• Excellent communication skills and the ability to collaborate effectively with product teams, business stakeholders, and engineering peers.
• Ability to mentor other engineers and contribute to a culture of technical excellence and continuous improvement.

Additional preferred qualifications include:

• Salesforce Platform Developer II certification.
• Experience with Salesforce CPQ and Billing.
• Experience implementing Salesforce Experience Cloud.
• Familiarity with containerized and serverless architectures, including Docker, Kubernetes, Lambda, ECS, or Fargate.
• Experience with additional programming languages such as Java, Go, Ruby, C#, Node.js, or Vue.js.
• Bachelor’s degree in Computer Science, Business, Information Systems, or a related field.

Benefits:

• Competitive base salary range of $147,000 - $167,000 per year.
• Potential bonus opportunities discussed during the recruitment process.
• Compensation based on experience, education, location, skills, training, and internal equity.
• Local cost-of-living considerations evaluated during the offer process.
• Opportunity to work on innovative AI-driven engineering initiatives.
• Collaborative environment focused on technical growth, ownership, and continuous learning.
• Exposure to modern cloud platforms, enterprise architecture, and advanced development practices.
• Opportunity to influence engineering standards, technology strategy, and platform evolution.