AI Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Oversee the engineering delivery of agentic AI functionalities for GTM stakeholders throughout its technology stack (Salesforce, Slack, third-party applications) and in-house platforms.

• Create and develop workflows powered by LLM, autonomous agents, multi-agent systems, and AI-enhanced integrations utilizing Agentcore, Slack, MCPs, and Langchain.

• Establish scalable enterprise AI architecture patterns, which include model routing, orchestration, memory management, and governance strategies.

• Design and refine Retrieval Augmented Generation (RAG) systems, semantic search pipelines, vector retrieval strategies, and enterprise knowledge grounding frameworks.

• Construct and maintain Apex, Lightning Web Components, Salesforce Platform Events, and Agentforce agent actions.

• Execute AI evaluation frameworks, which consist of prompt quality benchmarking, hallucination reduction, and model performance monitoring.

• Guide and mentor senior and mid-level engineers; perform code reviews and uphold AI engineering standards.

• Establish error handling, fallback strategies, and graceful degradation patterns for non-deterministic AI systems.

• Phasing out legacy integrations and transitioning to modern, agentic, event-driven patterns.

• Advocate for security-first AI engineering: input validation, output sanitization, and prompt injection hardening.

• Architect and execute CI/CD pipelines, deployment automation, and platform observability.

• Integrate Agentic AI and LLM-powered tools as a fundamental aspect of your engineering practice.

• Keep abreast of fast-evolving AI/ML technologies and apply them pragmatically to GTM systems.

• Promote an automation-first mindset — if it can be made agentic, make it so.

• Develop internal tools and applications to enhance data access and GTM decision-making.

• Implement data governance and monitoring frameworks to improve the quality of GTM systems.

• Assess vendors and AI platforms with a strategic build versus buy perspective.

• Recognize and automate manual processes to boost organizational efficiency.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Engineering, or a related discipline.

• Over 5 years of experience in software engineering.

• Strong expertise in Python and TypeScript/JavaScript for AI and integration development.

• Practical production experience with Agentic AI frameworks, document parsing, structured extraction pipelines, building enterprise AI applications, autonomous agents, and LLM-powered systems.

• Familiarity with modern AI orchestration frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP, Langchain, and similar technologies.

• Experience in Salesforce development: Apex, LWC, REST/SOAP integrations, Platform Events, and Agentforce.

• Proficient in vector databases and retrieval optimization techniques.

• Experience with cloud infrastructure including AWS Bedrock, Vertex AI, workflow orchestration, CI/CD tools (GitHub Actions, Copado, Jenkins), and DevOps practices.

• Solid understanding of LLM limitations, token economics, and trade-offs in model selection.

🏝️ Benefits

• Leading compensation and equity award packages.

• Comprehensive physical and mental wellness initiatives.

• Competitive vacation and holiday policies for relaxation.

• Paid parental and adoption leave.

• Professional development opportunities available for all employees, irrespective of level or role.

• Employee Networks, geographic neighborhood groups, and volunteer opportunities to foster connections.

• A vibrant office culture equipped with world-class amenities.

• Great Place to Work Certified™ globally.