Senior Full-Stack Engineer
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Role details
Tech stack
Job 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.
Requirements
- 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.
Benefits & conditions
Base salary: Base salary $180,000 - $220,000
Location: Fully remote within the US, with working-hours overlap with US Eastern time and periodic travel to New York.
Benefits: Health, dental and vision coverage; flexible PTO; peer recognition through Bonusly.
About the company
Underneath the product is a proprietary, stateful agent architecture: specialist analysis coordinated through shared, evidence-backed memory; deterministic financial calculations; and human review at consequential decision points. Each customer runs on a separate application copy and database. We are focused on institutional finance today while building technical foundations that could extend to other institutional domains over time.
We are a seed-stage, fully remote team headquartered in New York, led by fourth-time founder Ben Wald. We pair ambitious engineering with a white-glove, hospitality-first approach to customers.
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