# Aleph — Staff+ Software Engineer, AI

- Generated: 2026-09-02 09:34:05 AM EDT
- Original/canonical posting: https://wellfound.com/jobs/4634470-staff-software-engineer-ai
- Provider: wellfound
- Posting time: approximately 2026-08-28 09:34 AM EDT (estimated from provider's '5 days ago' at capture)
- Applicants: Not disclosed
- Work model/location: Remote-first across the Americas; United States is eligible.; provider location: See normalized description/header
- Compensation: $130K-$350K; qualifies.
- Travel: No role travel requirement disclosed; company mentions 2-3 retreats per year.
- Positioning track: Technical IC
- Fit outcome: BORDERLINE — 80.3%

## Direct-match strengths

Founder-builder profile, production agentic platform, full-stack depth, reusable foundations, and Staff-level influence.

## Hard or material gaps

No direct ownership of production eval infrastructure or a model proxy; limited concrete caching and parallel-tool-call evidence.

## Evidence map

1. AI foundation/routing/context/tools (w3/e2): Multiple models and reusable orchestration, but no explicit production model proxy.
2. Eval infrastructure (w3/e1): Strong governance and monitoring background; AssistX eval framework remained planned.
3. Production LLM systems (w3/e3): AssistX shipped in eight months with 70+ automations and hundreds of signups.
4. Agentic delivery end to end (w3/e3): Multi-agent systems, RAG, prompts, APIs, data, and cloud deployment.
5. Agent observability (w2/e1): General observability and governance, not a quantified agent-profiling system.
6. Full-stack fundamentals (w2/e3): Python, FastAPI, Postgres/PGVector, UI, and AWS implementation.
7. Staff-level adoption (w2/e3): Reusable AssistX plus AWS assets adopted by 80-100+ specialists.
8. Founder/high agency (w2/e3): Exact match to the stated founder/startup preference.
9. Complex B2B product from scratch (w2/e3): Five commercial SaaS products and multiple 0-to-1 launches.

## Full normalized job description

About Aleph
Aleph is an AI-native platform for Financial Planning & Analysis (FP&A), an established software category with a multi-billion market but no clear winner. We’re trying to solve a problem many finance teams are super familiar with: data scattered across a million systems, endless spreadsheets and way too much time spent getting numbers to line up instead of actually using them to make decisions.
Aleph was founded by Albert Gozzi and Santiago Perez De Rosso, two technical founders with backgrounds from Stanford and MIT and experience working at top-tier companies such as Google, Microsoft and Bain & Company. We’re backed by top VCs (Khosla Ventures, Bain Capital Ventures, YC, Picus Capital), and work with customers like Webflow, Notion, Zapier, Y Combinator and many others.
We are hiring remotely across the Americas (United States, Canada, LATAM).
The charter
Every AI feature at Aleph - asking questions of your financials, agents that do full FP&A workflows - runs on a shared foundation: which model handles which task, what context the model sees, what tools it can call, and how we measure whether it's getting better. Today those decisions live inside product teams. This role owns them as a whole, including the model proxy and eval infrastructure everything runs through.
What you'll do
Own the AI foundation product teams build on: model selection and routing, the model proxy layer, context management, and tool design
Own eval infrastructure. Work with customers and finance domain experts to define what excellent output looks like, then encode it in evals every team can run - in FP&A, a wrong answer ends up in someone's board deck
Ship agentic features end to end, from v0 through the optimization loop: prompt and context engineering, caching, parallel tool calls, subagent patterns
Build observability into agent behavior so we can profile it, find bottlenecks, and decide what to fix with data
Track what's changing in agentic systems and bring the practices that prove out into how we build
What we're looking for
You've shipped production LLM systems - evals, context management, multi-model or multi-provider routing - and can talk concretely about what broke and what you changed
You build proof of concepts, decide quickly, and ship v0s. Evals drive your quality bar
Strong judgment about abstractions: opinionated about design, pragmatic about shipping incrementally
Experience with LLM APIs and agent frameworks, and shipped user-facing products
You want to ship production systems, not do research
What we expect from all Staff+ Engineers
Adoption: teams you don't manage have picked up systems you built - because they were that good
Strong fundamentals: you can trace requests from UI to data store and make good technical decisions at every layer
High agency: background as a founder, engineering lead, or startup builder. You have a builder's mindset and find creative ways to ship
Pragmatism: you choose the fewest and simplest tools that will actually work
Craft: you care deeply about code quality and write code that's correct and easy to understand
Communication: clear, direct, and persuasive across technical and non-technical audiences
Experience: you've built complex B2B products, ideally from scratch
While this is a remote-first opportunity, we're focusing on candidates within the Americas to better align with our working hours as a team.
Aleph is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Aleph makes hiring decisions based solely on qualifications, merit, and business needs at the time.

## Artifact metadata

- Resume and cover letter: Not generated under the fit gate.
- Archived JD capture: https://files.keithsteward.com/Aleph/Keith_Steward_staff-plus-software-engineer-ai_4634470_JD_capture.md
- Google Drive used: No