Sr. Agentic Developer
AI summary of the role
Senior engineer to design, build, and ship autonomous and semi-autonomous AI agents integrated with Salesforce's platform, working at the intersection of LLM orchestration, tool-use frameworks, and production engineering.
What you’ll do
- Design, build, and deploy multi-step, tool-using AI agents integrated with APIs, databases, and enterprise systems like Salesforce and Slack.
- Evaluate and select agent frameworks/orchestration patterns (ReAct, planner-executor, multi-agent) and optimize for latency, cost, and reliability.
- Independently deliver complex features across the full lifecycle, assisting with epic slicing and dependency management.
- Build evaluation harnesses and guardrails to prevent hallucinations, drift, and unsafe tool calls; monitor production and lead incident handling.
What you’ll bring
- 4+ years of software engineering experience with hands-on LLM/agentic systems in production.
- Strong Python skills and mastery of agent orchestration frameworks (LangGraph, AutoGen, custom) or ability to build from scratch.
- Deep understanding of prompt engineering, tool-calling, RAG, and evaluation strategies for non-deterministic systems.
- Solid expertise in API integrations, async systems, distributed architectures, and modern design patterns.
Technologies
Python · LangGraph · AutoGen · ReAct · RAG · LLM · MCP · Slack · Salesforce · API
About Salesforce
Salesforce sells CRM, data, integration, analytics and collaboration software now unified around Agentforce AI agents for enterprise customer workflows.
Public · 5000+ people
Source and classification
Production engineering · Evidence for this classification:
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,
More from the job description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Applications will be accepted until 10/12/2026. The Experience: 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 q [... source excerpt omitted ...] hitecture & 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 contri [... source excerpt omitted ...] ers on documentation. You're Our Person If: 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.
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