Senior Agentic AI Systems Engineer

salesforce.com, inc.; Indianapolis (IN); On-site; USD 149,000 - 246,000; Full time

Job summary

Salesforce is seeking a Senior Member of Technical Staff to design, build, and ship autonomous AI agents integrated with our platform. You will operate at the intersection of LLM orchestration, tool-use frameworks, and enterprise-grade production engineering, owning end-to-end delivery while guiding team quality standards.

As a recognized SME, you will lead complex features, collaborate with PMs and Scrum Masters, and coach engineers.

Qualifications

• 4+ years of software engineering experience, including hands-on experience building and deploying LLMs/agentic systems in production environments.
• Strong Python skills with mastery of agent orchestration frameworks (e.g., LangGraph, AutoGen, custom frameworks) or ability to construct frameworks from scratch.
• AI Concepts: Deep understanding of prompt engineering, tool-calling/function-calling patterns, RAG, and evaluation strategies for non-deterministic systems.
• Systems & Architecture: Solid expertise in API integrations, async systems, distributed architectures, and modern software design patterns.
• Communication & Leadership: Strong written and verbal communication skills, with a track record of cross-functional alignment, technical coaching, and constructive code reviews.

Responsibilities

• Agentic Systems Engineering: Design, build, and deploy multi-step, tool-using AI agents (planning, reasoning, memory, tool invocation) and integrate them with APIs, databases, and enterprise systems (e.g., Salesforce, Slack).
• Architecture & Orchestration: Evaluate and select agent frameworks/orchestration patterns (ReAct, planner-executor, multi-agent, etc.) and optimize deployments for latency, cost, and production reliability.
• Agile Execution & Technical Delivery: Independently deliver high-quality, complex features across the entire lifecycle (design, execution, testing, review).
• Guardrails, Monitoring & Operations: Build robust evaluation harnesses and guardrails to prevent hallucinations, drift, and unsafe tool calls. Proactively monitor features in production, lead incident handling (TTx), and contribute to PRBs/RCAs.
• Leadership & Collaboration: Act as a SME and technical coach for AMTS/MTS engineers via pair programming and reviews. Present planned and delivered work to leadership and technical audiences, and partner with Tech Writers on documentation.

Skills

Python

LLM/agentic systems

Agent orchestration frameworks

Software engineering

Communication

Job description

Salesforce is seeking a Senior Member of Technical Staff to design, build, and ship autonomous AI agents integrated with our platform. You will operate at the intersection of LLM orchestration, tool-use frameworks, and enterprise-grade production engineering, owning end-to-end delivery while guiding team quality standards.

As a recognized SME, you will lead complex features, collaborate with PMs and Scrum Masters, and coach engineers.