# Rengo AI - Software Engineer, Applied AI at deCircle

> Onsite · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2780722 (read 2026-11-08).

## Facts (observed)

- Company: [deCircle](https://alderhq.app/companies/decircle)
- Location text: New York, New York, United States
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: New York, New York, United States")
- Posted: 2026-10-12 (26 days ago)
- First seen by alder: 2026-11-04 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://talent.makerdao.network/o/rengo-ai-software-engineer-applied-ai
- Skills listed (inferred): React, Python, FastAPI, AWS, Docker, Terraform, dbt, LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (New York, n 621): p25 $145k, median $180k, p75 $225k

## Description (the employer's text)

Rengo AI: AI-native data platform for alternative investment managers (NYC, $2M, Primary Ventures).

Comp: $165K-$290K + equity. Location: On-site 5 days NYC. Visa: Open to visa transfers (OPT, H1B).

### Responsibilities

Work directly with asset managers and portfolio companies to build custom AI-powered data solutions

Own end-to-end delivery from discovery to production (Python, FastAPI, Temporal, React)

Curate customer-specific technical roadmaps: part PM, part engineer

Use LLMs/agents heavily on AI-native internal infra

High-autonomy work with founding team

Tech stack: Python, FastAPI, Temporal, dbt, Terraform, AWS, React, Docker, LLMs

Source: https://www.paraform.com/share/rengo-ai/cmtw2b412000l0cjvjw3yvowf

### Requirements

1-6+ yrs software engineering

Interest in customer-facing applied AI / forward-deployed work

Python backend + React; LLMs in production

Comfort with ambiguity; on-site 5 days NYC

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/recruitee%3Adecircletalentpartner%3A2780722 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.