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# Senior Full-Stack Engineer

- **Company:** VANTAGE 42 LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $180,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Software Quality, Code Review, Data Integrity, Information Extraction, Web Applications, Large Language Models, Event Driven Architecture, Data Pipelines
- **Published:** October 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6f1375343fd8e7ce

## About the Role

* 6+ years shipping production web applications, including meaningful experience in an early-stage or fast-moving team.
 * Strong TypeScript/JavaScript and React skills; production backend experience with Node.js and/or Python.
 * Excellent SQL, relational data modeling, APIs and data pipelines; comfort working with evolving schemas and structured application state.
 * Hands-on experience shipping LLM or agent-powered functionality to real users, with rigorous evaluation, human-in-the-loop design and operational monitoring.
 * Judgment to balance user experience, correctness, speed and maintainability; excellent written communication in a remote team., * Institutional finance, private markets, fund administration or portfolio analytics experience.
 * Source-grounded retrieval, temporal data, provenance graphs, event-driven systems or agent orchestration.
 * Document extraction, financial data normalization, secure multi-customer SaaS or early/founding engineering experience.

## Description

You'll be one of the first engineers shaping Vantage42's flagship institutional-investing application, working closely with the founder, CTO, Product and customers. You'll own complex workflows across interface, backend and data, bringing evidence-backed agent analysis into reliable, intuitive experiences that investment teams use for real decisions.

This is a product-engineering role with unusual architectural depth: you'll work with persistent state, source-linked claims, event-driven specialist agents and human approval flows, not just add a chatbot to a dashboard.

WHAT YOU'LL DO

Ship exceptional institutional workflows

 * Build end-to-end experiences for portfolio monitoring, diligence, valuation, LP reporting, document review and investment decision-making.
 * Make complex agent outputs understandable: show sources, confidence, changes, disagreements and actions requiring human approval.
 * Work directly with investment teams and Customer Success; turn ambiguous user needs into simple, fast, resilient product experiences.

Build on a stateful agent architecture

 * Integrate event-driven analytical agents with typed domain models, shared evidence-backed memory and deterministic financial calculations.
 * Build ingestion, extraction-review, integrations and data-quality workflows that preserve source lineage from document page to recorded claim to final UI.
 * Improve evaluation, observability and failure handling for AI-enabled workflows; measure completion, correctness, latency and human intervention.

Raise the engineering bar

 * Own production quality through testing, code review, monitoring, incident follow-through and maintainable APIs and interfaces.
 * Collaborate with security and infrastructure engineering so new features respect customer isolation, access boundaries and controlled releases.
 * Help define working standards, mentor new hires and use AI development tools critically, with code quality and correctness as the bar.

WHAT SUCCESS LOOKS LIKE

First 30 days: Ship a customer-visible improvement; understand how source evidence, agent state and permissions travel through the product.

By 90 days: Own a core workflow end to end, with clear source traceability, evaluation checks and metrics for user adoption and reliability.