> Markdown version of [/jobs/ext/3306828-sr-agentic-developer](https://www.wearedevelopers.com/jobs/ext/3306828-sr-agentic-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Agentic Developer - **Company:** Salesforce Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $148,500.0 - $223,900.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Code Review, Databases, Software Design Patterns, Distributed Systems, Python (Programming Language), Pair Programming, Scrum Methodology, Salesforce.Com, Software Engineering, User-Centered Design, Enterprise Software Applications, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Api Management - **Published:** September 9, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/28002062/Sr-Agentic-Developer-Virginia-Remote-7447 ## About the Role * Experience: 4+ years of software engineering experience, including hands-on experience building and deploying LLMs/agentic systems in production environments. * Technical Proficiency: 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. Even Better If: * Experience with enterprise SaaS architectures, the Salesforce ecosystem, multi-agent coordination, or emerging protocols like MCP. ## Description We are seeking a Senior Member of Technical Staff to design, build, and ship autonomous and semi-autonomous AI agents integrated with our platform. In this role, you will work at the intersection of LLM orchestration, tool-use frameworks, and production engineering-turning agentic prototypes into reliable, scalable, enterprise-grade systems. As a recognized SME and hybrid engineer, you will own complex functionality from end-to-end design to delivery and operation, while guiding team execution and quality standards. What You'll Actually Be Doing: * 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). Assist in slicing epics, defining tasks, and managing dependencies alongside PMs and Scrum Masters. * 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.