Note: The job is a remote job and is open to candidates in USA. AddBack is an AI platform for pre-transaction financial due diligence that transforms raw deal data into institutional-grade, cited, and editable deliverables. The Senior Founding Software Engineer will own and scale the multi-agent pipeline, improve reliability and evaluation, run infrastructure, debug production issues, shape the technical roadmap, and establish engineering standards.
Responsibilities
- Own the agent architecture. Take over a production system of ~50 specialized agents and make its outputs consistent and reproducible run after run. Decide what should be an LLM call and what should be deterministic code
- Build the evaluation layer. Turn our proprietary dataset into an automated eval and regression harness, so every change is measured against ground truth
- Scale ingestion. Handle general ledgers of 13M+ tokens and messy multi-format data rooms with robust chunking, parsing, and deduplication
- Run the infrastructure. CI/CD, deployment, monitoring, alerting, and cost and latency optimization
- Fix what's broken, fast. Debug production issues on live client deals, find root causes, and make sure they don't happen twice
- Shape the roadmap. Turn customer feedback and GTM priorities into technical plans. Tell us what's realistic, what's risky, and what we should build instead
- Set the engineering bar. Code quality, documentation, architecture decisions, and eventually, hiring and leading the engineering team
Skills
- 5+ years as a software engineer, including 1 to 2 years building LLM-based systems in production (not just prototypes)
- Hands-on experience with multi-agent or multi-step LLM workflows: orchestration, state management, retries, error handling, idempotency
- Strong Python and backend fundamentals (APIs, async processing, job queues, Postgres)
- A track record making LLM outputs reliable: structured outputs, schema validation, prompt versioning, evals, guardrails
- Real DevOps experience: Docker, CI/CD, Azure, infrastructure as code, observability
- Experience with large or messy data: document parsing, OCR, spreadsheet extraction, long-context and chunking strategies
- Strong remote habits: you write clearly, share progress without being asked, and flag blockers early
- At least 4 hours of daily overlap with Eastern Time, and fluent professional English
- Orchestration frameworks
- LLM observability and eval tooling
- Tabular data tooling at scale
- Fintech, accounting software, or financial reconciliation background
- Security for sensitive client data: tenant isolation, encryption, SOC 2 readiness
- Experience as one of the first engineers at a startup
Benefits
- Significant equity
- Fast growth opportunities
- Fully remote, with the option to work from our Montréal or New York offices
- Office Stipend
- 31 days PTO
Company Overview