Lead Agentic AI Engineer

Job not on LinkedIn

🔥 1 hour ago

🇺🇸 United States – Remote

💵 $190k - $250k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

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CodeRoad

WebsiteLinkedInAll Job Openings

1 - 10 employees

📚 Education

☁️ SaaS

Education • SaaS

CodeRoad is a comprehensive online training program that teaches JavaScript and front-end web development from zero to a Junior Front-End Developer level. Created and taught by Mateusz Choma, the course includes 175+ hours of video lessons, hands-on code examples in an in-browser editor, and covers HTML, CSS, JavaScript, React and Redux, plus community Q&A and optional one-on-one mentoring. The platform is self-paced and accessible 24/7, aimed at individuals seeking to start a career in front-end development.

📋 Description

• Design and deploy stateful multi-agent coordination graphs using LangGraph or custom DAG loops • Enable dynamic task decomposition, supervisor orchestration, human-in-the-loop escalation, and self-healing error recovery • Build standardized Model Context Protocol (MCP) servers and connectors • Securely expose Salesforce tools, custom objects, actions, and enterprise context to autonomous agent runners • Architect multi-tiered LLM routing strategies across model tiers to balance latency, accuracy, and API costs • Implement automated evaluation harnesses using Promptfoo, Ragas, and DeepEval within CI/CD pipelines • Continuously measure context grounding, schema validity, and hallucination resistance against golden benchmark datasets • Implement end-to-end telemetry and security using LangSmith or Langfuse • Apply input sanitization, field-level security compliance, and automated PII scrubbing • Establish specification-driven development patterns, clear API contracts, and architectural blueprints • Communicate technical trade-offs directly to engineering teams and C-suite stakeholders

🎯 Requirements

• 7+ Years of Enterprise Software Engineering • Proven experience building robust software systems in Python, TypeScript / Node.js, Java, or Apex • 3+ Years of Production AI / LLM Experience • Demonstrated track record designing, evaluating, and scaling production autonomous agent systems and RAG architectures in enterprise environments • Deep expertise with LangGraph, LangChain, Anthropic / Claude APIs (tool calling, prompt caching, Claude Code), MCP, and observability suites (LangSmith, Langfuse, OpenTelemetry) • Direct experience setting up automated test gates using Promptfoo, Ragas, or LLM-as-a-judge frameworks • High autonomy to isolate complex latency bottlenecks, debug agent routing loops, and turn ambiguous enterprise needs into secure, deterministic technical realities • Exceptional written and spoken English communication skills • Legal authorization to work in the United States • Hands-on experience with Salesforce APIs (REST, SOQL/SOSL, Platform Events), Salesforce Data Cloud, vector search, Agentforce, containerized MCP deployments, or Spec-Driven Development (SDD) is a strong plus

🏖️ Benefits

• Competitive Pay ($190,000–$250,000 USD / year) • Comprehensive Benefits Package (Medical, Dental, Vision & Retirement Plan) • Holidays Off & Paid Time Off (PTO) • Opportunity to work with high-growth US-based companies and cutting-edge tech stacks. • Agentic AI tools and training • Coursera Enterprise • Studio practice labs • L1-L7 Career Framework • High-touch onboarding • Transparent leadership communication • Community recognition • Psychological safety

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