Forward Deployed Engineer (New Grad)
Composio
Listing collected from Composio's career site. NextChapter is independent of Composio.
San Francisco, CA · Posted August 14, 2026
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November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing does not state pay. Across 120 open forward deployed engineer listings that state pay, the middle half runs $155,000 to $237,500 and the median is $197,500.
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How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
At Composio, we are building infrastructure that allows agents to communicate with the tools you use for work including Github, Gmail, Notion, Salesforce, etc. We are a lean team of engineers wrangling problems from context to search, that help us provide the most capable bridge between your agents and your tools.
We raised a $25M Series A from Lightspeed https://lsvp.com/stories/investing-in-composio-building-the-backbone-of-ai-agent-intelligence/ with some incredible angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), Gokul Rajaram. Beginning of this year we 3x our ARR with customers like Google, AWS, Mercor, Mintlify, Glean and Emergent.
running stateful agent infrastructure inside someone else's cluster is new territory. as our FDE intern, you'll help define what reliable, repeatable on-prem agent deployment looks like across customers running us in their own environments.
WHAT YOU'LL DO?
- get hands-on with the on-prem lifecycle: helm charts, upgrades, the weekly release train, rollback paths.
- help pull diverged customer forks back onto one supported chart, with guardrails.
- contribute to onboarding so a new customer deploys in days, not weeks.
- debug across the stack: temporal workflows, k8s init ordering, storage, auth-refresh pipelines.
- support the security surface: CVE triage, patching, RCAs.
"MUST HAVES"
if you are very good, nothing is a must per-se
- you've built in environments you don't fully control — homelab, VPC, self-hosted — and like figuring out why systems break.
- curious about kubernetes and helm; you want to go deep.
- ai native — you've built with language models and have opinions on agents and MCP
- comfortable in linux; you can write a clear RCA.
- human — you build trust and admit what you don't know.
BONUS: temporal, Postgres, cloud secret managers, self-hosted delivery (kots/airgap), open source or hackathon wins.