Skip to content

Sr Application Engineer

Senior Application Engineer building and deploying AI Agents with Salesforce Agentforce, intelligent automations, and custom Salesforce applications. Requires 5+ years experience, specific Salesforce certifications (Platform Developer I/II, Advanced Admin, Agentforce Specialist), strong coding and DevOps skills, and mentoring ability.

About the job

Key Responsibilities

  • Build AI Agents using Agentforce and other AI platforms like Microsoft Studio for CoPilot Agents.
  • Pioneer intelligent process automations using IPA tools like Power Automate and Alteryx.
  • Build test automations to improve QA efficiencies for Salesforce and other applications.
  • Collaborate with product designers, end-users, and team members to refine AI use cases and brainstorm prototyping ideas.
  • Execute application development tasks using Apex, JavaScript, Python and other languages for core applications (Salesforce, Billing Platform) and integrated apps (Conga, DocuSign, Adobe, Marketo, Gainsight, Gong, Qualtrics, Kantata, TaskRay).
  • Perform unit tests and collaborate on test scripts for automated and manual testing.
  • Analyze, troubleshoot, and debug standard to complex system issues.
  • Act as an AI change agent to drive team adoption of AI agents for efficiency gains.
  • Create and maintain technical documentation for builds and AI Agents.
  • Onboard, mentor, coach junior-intermediate engineers, peer review work, approve pull requests.
  • Participate in DevOps maintenance, provide training and consultation to business partners.
  • Support transformational projects, high-priority enhancements, and resolve incidents.

Requirements

  • Hands-on experience building Agentforce AI Agents, AI workflows, custom agent development, and integration of external data sources.
  • Solid experience with Salesforce integrations and external system integrations (Conga, DocuSign, Adobe, Marketo, Gainsight, Gong, Qualtrics, Kantata, TaskRay).
  • Experience creating intelligent process automations using tools like Power Automate.
  • Solid experience creating test automations for Salesforce and other platforms.
  • Solid experience writing clean, scalable code using JavaScript, Apex, Python, etc.
  • Proficient in DevOps processes and tools (e.g., Copado, AutoRabit), GitHub, and troubleshooting versioning issues.
  • Proficient in Agile methodologies (Scrum/Kanban).
  • Solid experience with automated testing frameworks (e.g., PMD, Selenium, Copado CRT).
  • In-depth understanding of Salesforce data models, security, and governor limits.
  • Excellent organization, critical-thinking, and self-management skills.
  • Continuous learner with a mindset for acquiring and sharing knowledge.
  • Strong team player and coach who partners with cross-functional teams (BA, QA, Operations).
  • Effective communicator who can convey complex ideas and persuade others.
  • Proven experience as an Intermediate Application Engineer or higher.
  • Certifications: Salesforce Certified Agentforce Specialist, Salesforce Certified Platform Developer I & II (required), Salesforce Advanced Administrator (required), Salesforce Certified Application/Systems Architect (desired).
  • BSc/BA in Computer Science, Engineering, or related field (or equivalent work experience).

Nice-to-Haves

  • Experience building AI Agents on other AI platforms.
  • Experience with Product Operating Model.
  • Experience working on a SaaS product.
  • Experience with Salesforce Lightning Design System (SLDS) or UI frameworks like React, Vue.js, or Angular.
  • Understanding of Salesforce Sales Cloud, Service Cloud, Revenue Cloud, Agentforce, and Salesforce Einstein.
  • Experience with AWS, Azure, or other cloud platforms.
  • Experience with Service-Oriented Architecture (SOA) and SaaS product development.
  • Knowledge of SAML, OAuth, and OpenID Connect.
  • Experience with on-call responsibilities for production systems.
  • Understanding of team dysfunctions and how to address them (trust, conflict, commitment, accountability, results).

Skills

Agentforce, Salesforce, Apex, JavaScript, Python, Power Automate, Copado, GitHub, Selenium, Alteryx, Einstein, AWS, Azure, React

Navan

Navan

New York, NY

Senior Software Engineer, AI
$113k+/yrOn-site6+ YOEML Engineering

Build customer-facing agentic AI experiences for loyalty programs, combining LLM workflows, product engineering, personalization, and safety controls. The role requires 6+ years of software engineering experience and production experience with AI or LLM-powered systems.

6sense

6sense

United States

Senior Enterprise AI Engineer, IT Operations
$127k+/yrRemote5+ YOEML Engineering

Build and deploy secure enterprise AI agents, integrations, and automated workflows that improve internal productivity and business operations. The role requires at least five years of enterprise, software, automation, or IT systems engineering experience, plus hands-on workflow and LLM application development.

Axle

Axle

United States

Senior Data Scientist, Agentic AI Systems
$130k+/yrRemote5+ YOEML Engineering

Build and operate agentic AI systems for rare disease research, including typed workflows, evaluation, observability, and production deployment. The role requires a bachelor’s degree or equivalent experience, 5+ years building production systems, and 2+ years shipping LLM-powered applications.

Apartment List

Apartment List

United States
Senior Software Engineer II , Marketplace
$145k+/yrRemote5+ YOEML Engineering

Build marketplace search and ranking features while supporting MLOps infrastructure, model deployment, feature stores, and real-time data pipelines. The role requires 5+ years of software engineering or MLOps experience, backend or full-stack expertise, and familiarity with cloud and machine learning tooling.

Blee

Blee

San Francisco, CA

Senior AI Engineer
$150k+/yrHybrid5+ YOEML Engineering

Designs and ships production multi-agent compliance systems, including LLM pipelines, model training, evaluation, monitoring, and explainability. Requires 5+ years of applied AI/ML engineering experience, strong Python, and experience deploying production ML systems.