18 hours ago
Base Salary
$179k - $248k/yr
Responsibilities
- Extend LangGraph agent orchestrators with typed state, routing, subgraphs, checkpointing, durable execution, and human-in-the-loop workflows.
- Build reusable agent components for state management, memory, tool calling, delegation, and scoped permissions.
- Design and scale APIs, tool interfaces, and MCP infrastructure for customer, partner, and LLM consumers.
- Improve retrieval, grounding, context assembly, memory management, tool evaluation, tracing, usage analytics, and release gates.
- Enforce authorization, tenant isolation, scoped credentials, runtime guardrails, and protections against prompt injection, tool poisoning, autonomy risks, and data leakage.
- Investigate customer-reported issues, support customer and partner technical discussions, and create enablement guidance and documentation.
- Lead cross-functional projects, write design documents, conduct code reviews, mentor engineers, prototype emerging technologies, and participate in on-call and incident response.
Requirements
- 5+ years of experience building and operating production software systems with strong distributed systems fundamentals.
- 2+ years of experience building production LLM-powered systems, including customer-facing agents.
- Strong Python development skills and production experience with LangGraph or a comparable orchestration framework.
- Experience designing APIs and tool interfaces for LLM consumers, including schemas, descriptions, error handling, and tool-selection optimization.
- Experience scaling customer- or partner-facing platforms with authentication, rate limiting, versioning, and backward compatibility.
- Hands-on experience with retrieval, grounding, and LLM evaluation frameworks.
- Experience building multi-tenant, security-sensitive cloud systems, preferably on AWS, including authorization boundaries and data leakage prevention.
- Ability to debug distributed production issues and support customers directly or through support and solutions teams.
- Demonstrated success leading multi-month, cross-functional initiatives with minimal oversight and communicating with technical and non-technical audiences.
- Bachelor's degree in Computer Science or Engineering, or equivalent practical experience.
- Preferred qualifications include production MCP server experience, MCP open-source contributions, context delivery from enterprise data platforms, external agent or AI assistant integrations, model routing, caching, cost and latency optimization, and familiarity with B2B go-to-market, RevTech, CRM, or intent-data platforms.
- Preferred experience includes Kafka, Snowflake, Databricks, Spark, or similar data platforms.
Benefits
- Hybrid role based in the San Francisco Bay Area or Austin, Texas.
- Full-time employees receive health coverage, paid parental leave, paid time off, paid holidays, quarterly self-care days, life and disability insurance, 401(k) employer matching, and stock options.
- Employees receive equipment and support for working and connecting from home or company offices.
- Professional development includes learning and development initiatives and access to LinkedIn Learning.
- Employee wellness programs include quarterly wellness education sessions, wellness days, and ERG-hosted events.
Tech Stack
Categories
About 6sense
6sense builds a B2B revenue platform that uses intent data and AI to help marketing and sales identify in‑market accounts, run account‑based campaigns, and prioritize outreach. The company sells its software via SaaS subscriptions and integrates with common CRM and marketing automation tools. Founded in 2013 and headquartered in San Francisco, it is privately held and serves midmarket and enterprise B2B organizations.