We are looking for a full-stack engineer with strong React, Node.js, and SQL experience to join a forward-deployed team delivering a new AI product to enterprise clients. You will connect client data systems to the product, build the pipelines behind each business metric, and tailor the platform to each client’s needs. This role suits an engineer who enjoys working directly with end users, navigating unfamiliar systems, and shipping quickly.

General Overview

The client is a global management consulting firm launching an AI product that gives leadership a single view of business performance. The product connects to each client’s data sources, applies proven performance-management frameworks, and highlights where the business stands, which conversations to hold at each level of the organization, and which actions to take. The core product is already built, and each client is served by a small pod made up of a product lead and two engineers working alongside the firm’s consultants. As one of the two engineers in the pod, you will work on site with a client based in Waltham, MA, Cincinnati, OH, or Dallas, TX, turning business questions into reliable data feeds. Expect messy, undocumented systems and a fast feedback loop with the people using what you build.

Tasks and Deliverables

Integrate client data sources, including warehouses, ERP, CRM, operational systems, and APIs, into the product.

Write and tune SQL queries and data pipelines that turn raw client data into reliable metrics.

Extend the product’s frontend and backend to meet client-specific needs.

Use the product’s agent and SDK tooling to configure and extend client workflows.

Debug data quality issues on site with client IT teams and data owners.

Collaborate closely with the product manager and consultants to deliver client customizations.

4+ years of full-stack engineering experience with React and Node.js in production.

Proficiency in JavaScript/TypeScript and Redux.

Strong SQL skills and hands-on data integration experience (ETL/ELT, APIs, data warehouses).

Experience building with LLMs or agent frameworks, including prompting, tool use, and evaluation.

Experience working directly with customers or end users, with the ability to explain technical tradeoffs to non-technical stakeholders.

Ability to join an unfamiliar codebase and ship within the first week.

Nice to Have

Previous experience in a forward-deployed, solutions, or consulting engineering role.

Experience with Snowflake, dbt, or a similar modern data stack.

Experience with healthcare or medical services data, such as EHR, claims, scheduling, or revenue cycle, is a strong plus.

Familiarity with HIPAA-aware data handling.

Engagement Highlights

3 to 6 month engagement.

Start date beginning November.

On-site work Monday through Thursday, with remote work on Fridays.

Location restricted: candidates must live in the Greater Boston area (Waltham, MA), Cincinnati, OH, or Dallas, TX.

Must be authorized to work in the US.