Lead Agentic AI Engineer for Salesforce & LLMs

CodeRoad; United States; Sur place; USD 190 000 - 250 000; Plein temps

Avantages offerts par ce poste

Medical insurance

Dental insurance

Vision insurance

Retirement plan

Paid time off

Résumé du poste

CodeRoad is seeking a Lead Agentic AI Engineer to architect and operationalize enterprise-grade autonomous agent systems integrated with Salesforce. You will steer stateful multi-agent workflows using LangGraph, LangChain, and Anthropic Claude, ensuring secure, high-throughput performance within enterprise constraints.

You will define evaluation pipelines, security practices, and delivery standards while collaborating with executives and engineering teams to translate complex AI mechanics into

Qualifications

• 7+ years of hands-on enterprise software engineering experience using Python, TypeScript/Node.js, Java, or Apex.
• 3+ years of direct production experience building, evaluating, and scaling LLM-powered applications and autonomous multi-agent workflows.
• Tech Stack: Expert proficiency with LangGraph / LangChain, Anthropic/Claude APIs (tool calling, prompt caching, Claude Code), MCP, and observability tools LangSmith, Langfuse, or OpenTelemetry.
• Evaluation Frameworks: Hands-on experience with automated LLM eval suites Promptfoo, Ragas, or LLM-as-a-judge patterns as automated test gates.
• Ownership mindset with deep diagnostic debugging skills for isolating non-deterministic LLM behavior, context degradation, and latency bottlenecks.
• Consultative Communication: Strong ability to translate complex AI mechanics into actionable architecture roadmaps for technical and non-technical stakeholders.
• Advanced English: Fluent written and spoken professional English for direct client consultation.

Responsabilités

• Architect stateful multi-agent coordination graphs using LangGraph or custom DAG loops, supporting dynamic task decomposition, supervisor orchestration, human-in-the-loop escalation, and automated error recovery.
• Build standardized MCP (Model Context Protocol) servers and connectors to securely expose Salesforce tools, objects, custom actions, and operational context to agent runners.
• Optimize query routes and context engineering across model tiers (e.g., Claude Sonnet/Opus vs Haiku) to improve latency, accuracy, and token spend.
• Design automated evaluation harnesses (Promptfoo, Ragas, or DeepEval) integrated into CI/CD pipelines to benchmark grounding, schema validity, and hallucination resistance against reference datasets.
• Implement full-stack observability and defense-in-depth security using tools like LangSmith or Langfuse alongside input sanitization, FLS, and PII scrubbing.
• Lead technical delivery standards, establishing API interface contracts, pattern-driven development, and architectural blueprints for cross-functional teams and exec stakeholders.

Connaissances

Python

TypeScript/Node.js

Java

Apex

LangGraph

LangChain

Anthropic/Claude APIs

MCP

LangSmith

Langfuse

OpenTelemetry

Promptfoo

Ragas

DeepEval

CC/CI

FLS

PII scrubbing

Claude Sonnet/Opus

Haiku

Outils

LangGraph

LangChain

Anthropic/Claude APIs

MCP

LangSmith

Langfuse

OpenTelemetry

Description du poste

CodeRoad is seeking a Lead Agentic AI Engineer to architect and operationalize enterprise-grade autonomous agent systems integrated with Salesforce. You will steer stateful multi-agent workflows using LangGraph, LangChain, and Anthropic Claude, ensuring secure, high-throughput performance within enterprise constraints.

You will define evaluation pipelines, security practices, and delivery standards while collaborating with executives and engineering teams to translate complex AI mechanics into