Customer-Facing AI Engineer: Build Live-Data Agents

Alldus; New York (NY); On-site; USD 150,000 - 190,000; Full time

Job summary

Alldus is seeking a senior engineer to join a role that sits between customers and the central platform codebase. You will partner with PE portfolio companies to scope, design, and ship AI agents against live data, while also contributing to the core platform.

The split is roughly half forward-deployed work and half platform building. Ideal candidates have 5–10 years building production software, fluency with Python and/or TypeScript, and strong data/ETL skills.

Qualifications

• 5–10 years building production software with customer exposure.
• Fluent with modern LLM tooling, coding agents and evaluation workflows.
• Strong Python and/or TypeScript skills across the stack and data
• Ability to diagnose real problems with non-technical operators and translate into tech solutions.
• Comfortable owning high-stakes deployments end-to-end under time pressure.

Responsibilities

• Forward Deployment: embed with customers to scope problems and ship AI agents.
• Solution Engineering: translate workflows into working systems (entity resolution, agent deployment).
• Customer Trust: serve as the technical face, run demos, own outcomes.
• Rapid Prototyping: stand up POCs and pilots quickly with AI tooling.
• Feedback Loop: align field work with CTO and product roadmap.

Skills

Python

TypeScript

LLM tooling

SQL

Data wrangling

Tools

Snowflake

Databricks

BigQuery

Job description

Alldus is seeking a senior engineer to join a role that sits between customers and the central platform codebase. You will partner with PE portfolio companies to scope, design, and ship AI agents against live data, while also contributing to the core platform.

The split is roughly half forward-deployed work and half platform building. Ideal candidates have 5–10 years building production software, fluency with Python and/or TypeScript, and strong data/ETL skills.