Senior AI Engineer

Role Overview

• Lead engineering delivery for agentic AI capabilities for GTM stakeholders across its technology stack(Salesforce, Slack, 3rd party apps) and In-House Platforms
• Design and build LLM-powered workflows, autonomous agents, multi-agent systems and AI-enhanced integrations using Agentcore, Slack, MCPs, Langchain
• Define scalable enterprise AI architecture patterns including model routing, orchestration, memory management and governance strategies
• Design and optimize Retrieval Augmented Generation(RAG) systems, semantic search pipelines, vector retrieval strategies and enterprise knowledge grounding frameworks
• Build and maintain Apex, Lightning Web Components, Salesforce Platform Events, and Agentforce agent actions
• Implement AI evaluation frameworks including prompt quality benchmarking, hallucination reduction and model performance monitoring
• Mentor senior and mid-level engineers; conduct code reviews and enforce AI engineering standards
• Define error handling, fallback strategies, and graceful degradation patterns for non-deterministic AI systems
• Retire legacy integrations and replace them with modern, agentic, event-driven patterns
• Champion security-first AI engineering: input validation, output sanitization, and prompt injection hardening
• Architect and implement CI/CD pipelines, deployment automation, and platform observability
• Embrace Agentic AI and LLM-powered tooling as a core part of your engineering practice
• Stay current with rapidly evolving AI/ML technologies and apply them pragmatically to GTM systems
• Champion automation-first thinking — if it can be agentic, make it agentic
• Build internal tools and apps to streamline data access and GTM decision-making
• Implement data governance and monitoring frameworks to enhance GTM system quality
• Evaluate vendors and AI platforms with a strategic build vs. buy mindset
• Identify and automate manual processes to increase organizational leverage

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field
• 8+ years of software engineering experience, with 3+ years in a lead or principal role
• Strong proficiency in Python and TypeScript/JavaScript for AI and integration development
• Hands-on production experience with Agentic AI frameworks, document parsing and structured extraction pipelines, building enterprise AI applications, autonomous agents and LLM powered systems
• Experience with modern AI orchestration frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP, Langchain and similar frameworks
• Salesforce development experience: Apex, LWC, REST/SOAP integrations, Platform Events, and Agentforce
• Proficiency with vector databases and retrieval optimization techniques
• Experience with cloud infrastructure including AWS bedrock, Vertex AI, workflow orchestration, CI/CD tooling (GitHub Actions, Copado, Jenkins) and DevOps practices
• Solid understanding of LLM limitations, token economics, and model selection trade-offs.

Tech Stack

• AWS
• Cloud
• JavaScript
• Jenkins
• Python
• SOAP
• TypeScript

Benefits

• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Great Place to Work Certified™ across the globe