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Composio

Agentic AI integration infrastructure platform

Forward Deployed Engineer New Grad

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • Build experience in environments that are not fully controlled, such as a homelab, VPC, or self-hosted environment.
  • Demonstrate curiosity about Kubernetes and Helm and a desire to develop deep expertise.
  • Build with language models and understand agents and MCP.
  • Work comfortably in Linux and write clear root-cause analyses.
  • Build trust and acknowledge knowledge gaps.

Responsibilities

  • Work hands-on with the on-premises lifecycle, including Helm charts, upgrades, the weekly release train, and rollback paths.
  • Help bring diverged customer forks back onto one supported chart with guardrails.
  • Contribute to customer onboarding so new customers can deploy in days rather than weeks.
  • Debug across the stack, including Temporal workflows, Kubernetes initialization ordering, storage, and authentication-refresh pipelines.
  • Support the security surface through CVE triage, patching, and root-cause analyses.

Desired Qualifications

  • Experience with Temporal, PostgreSQL, and cloud secret managers.
  • Experience with self-hosted delivery, including KOTS or air-gapped environments.
  • Open-source contributions or hackathon wins.

About the Company

Composio

Agentic AI integration infrastructure platform

Composio provides an infrastructure platform that lets AI agents connect to external apps and services through a unified API, handling credentials and tool integrations for 250+ pre-built tools (like Salesforce, HubSpot, Gmail, and Slack). It adds a reinforcement learning layer so agents can learn from experience and share knowledge across the ecosystem, enabling better performance over time. The platform is framework-agnostic and works with LangChain, CrewAI, and OpenAI Agents, reducing integration friction and speeding up development from months to days. Its goal is to help enterprises deploy capable, integrated AI agents at scale by enabling collective learning and easier multi-tool coordination.

Company size
51-200
Company stage
Series A
Total funding
$25M
Headquarters
San Francisco, CA
Founded
2023

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