Lead Agentic AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement stateful multi-agent coordination graphs utilizing LangGraph or custom DAG loops.

• Facilitate dynamic task decomposition, supervisor orchestration, human-in-the-loop escalation, and self-healing error recovery.

• Develop 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 various model tiers to optimize latency, accuracy, and API costs.

• Create automated evaluation harnesses using Promptfoo, Ragas, and DeepEval within CI/CD pipelines.

• Continuously assess context grounding, schema validity, and hallucination resistance against established benchmark datasets.

• Implement end-to-end telemetry and security measures utilizing LangSmith or Langfuse.

• Apply input sanitization, compliance with field-level security, and automated PII scrubbing.

• Establish specification-driven development methodologies, clear API contracts, and architectural blueprints.

• Convey technical trade-offs directly to engineering teams and C-suite stakeholders.

⛳️ Requirements

• 7+ years of experience in Enterprise Software Engineering.

• Proven expertise in developing robust software systems using Python, TypeScript / Node.js, Java, or Apex.

• 3+ years of experience in Production AI / LLM.

• Demonstrated history of designing, evaluating, and scaling production autonomous agent systems and RAG architectures within enterprise settings.

• In-depth knowledge of LangGraph, LangChain, Anthropic / Claude APIs (tool calling, prompt caching, Claude Code), MCP, and observability tools (LangSmith, Langfuse, OpenTelemetry).

• Direct experience in establishing automated test gates using Promptfoo, Ragas, or LLM-as-a-judge frameworks.

• High autonomy in identifying complex latency bottlenecks, debugging agent routing loops, and translating ambiguous enterprise requirements into secure, deterministic technical solutions.

• Exceptional proficiency in written and spoken English communication.

• 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 Specification-Driven Development (SDD) is a significant advantage.

🏝️ Benefits

• Competitive salary ($190,000–$250,000 USD per year).

• Comprehensive benefits package including Medical, Dental, Vision, and Retirement Plan.

• Holidays off and Paid Time Off (PTO).

• Opportunity to collaborate with high-growth US-based companies and utilize cutting-edge technology stacks.

• Access to agentic AI tools and training.

• Coursera Enterprise membership.

• Studio practice labs.

• L1-L7 Career Framework.

• High-touch onboarding experience.

• Transparent communication from leadership.

• Community recognition initiatives.

• Emphasis on psychological safety.