Sr. Agentic Developer
Spotted 13h agoFull time
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Job description
About this role
Employer-provided description, formatted for easier reading.
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 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.
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.
- 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.
LI-Y*
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