6sense has agents and an MCP server in production today, used by real customers. This role takes them further by building more capable agents, strengthening the API and tool layer, and expanding an ecosystem that external agents, clients, and partners can connect to.

You'll work across the full path from a customer's agent to 6sense data and actions, including APIs, tools, MCP, orchestration, context, evaluation, and security.

6sense is working to become the default Contextual Intelligence layer for B2B, and agents and MCP are how that context reaches customers, partners, and their AI tools. You'll partner closely with the team building contextual intelligence, write production Python daily, own multi-month projects, support the teams and customers who depend on these systems, and keep the platform current as the agent tooling landscape evolves.

Agents and Orchestration

Extend LangGraph orchestrators with typed state, conditional routing, subgraphs, checkpointing, durable execution, and human-in-the-loop workflows.

Select and implement routing, orchestrator-worker, plan-and-execute, reflection, and multi-agent handoff patterns based on business needs.

Run agents headless through API-first and MCP-first architectures across in-app, chat, workflow, and partner surfaces from a shared core.

Build and maintain reusable components for state management, memory, tool-calling, and agent-to-agent delegation with scoped permissions.

APIs, Tools, and MCP

Evolve the APIs and tools agents use to access 6sense data and take action for both human and LLM consumers.

Optimize tool design for agent success, including naming, descriptions, schemas, response formats, error handling, and token efficiency.

Re-design and scale the MCP layer for production workloads, including concurrency, per-tenant quotas, latency budgets, caching, graceful degradation, backward compatibility, and adoption of emerging MCP capabilities.

Sr. AI Engineer

Responsibilities

Qualification

Preferred

Benefits

Company

6sense

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