---
title: 'Member of Technical Staff – Explainability Engineer (Alignment + SHAP) at Elloe AI'
canonical: 'https://feeny.ai/job/member-of-technical-staff-explainability-engineer-alignment-shap-elloe-ai-austin-qfm6yx8k24r7'
type: 'job'
last_seen: '2026-09-10'
---

# Member of Technical Staff – Explainability Engineer (Alignment + SHAP) at Elloe AI

- **Company:** Elloe AI
- **Location:** Austin, TX
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2025-05-10
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.gem.com/elloe-ai/am9icG9zdDpuE6yXc-qpQCnQgg8DfUZ5

## Job description

Type: Full-time | Location: Remote | Function: Alignment & Explainability | Reports to: CTO/CEO

## About Elloe AI

Elloe is building the immune system for AI. We help organizations in healthcare, finance, and policy deploy GenAI systems that are explainable, auditable, and safe. Our stack fuses SHAP explainability, secure Vault sync, and red-team simulation defense — all built by engineers from MIT and Harvard.

About the Role: You’ll own the design of SHAP-driven explainability and model alignment systems for GenAI in high-stakes industries. From human-in-the-loop correction to production-grade dashboards, you’ll architect and ship the critical loops that make AI traceable, safe, and compliant. for real-world GenAI. This means SHAP-layer visualizations, alignment experiments with AutoHeal, and deeply integrating human feedback into every model correction. You’ll own core loops that power how Elloe learns to heal itself.

## What You’ll Own

- Design and implement SHAP-based explanation layers for GenAI outputs
- Architect AutoHeal interventions for misaligned model behavior
- Build alignment experiments grounded in real-world compliance datasets
- Own deployment of explainability dashboards for internal and customer usage

## Who You Are

- MIT/Harvard (CS, EECS, HST) with strong research-to-production instincts
- Familiar with SHAP, LIME, or other explainability libraries
- Able to design alignment experiments that are both empirical and operational
- Thrive in ambiguity and ship aligned features end-to-end

## Why Now

GenAI is entering regulated sectors faster than governance can keep up. AutoHeal v4.2 is Elloe’s leap toward traceable, compliant AI — just as hospitals, banks, and policy orgs realize they need it. This is the right mission at the right moment.

You’ll Leave This Role With

- Founder-level ownership on compliance AI infra
- A deep technical legacy in one of GenAI’s most urgent domains
- Equity in a company built to define real-world alignment
- A public portfolio of traceable, explainable AI systems

Logistics & Application

- Compensation: Salary + equity
- Commitment: Full-time or intense part-time (15+ hrs/week)
- Start: Rolling (ideal: within 2–4 weeks)
- To Apply: Tell us how you'd extend SHAP to make multi-modal outputs traceable

## About Elloe AI

## Company Overview
- **One-liner**: Elloe AI provides a real-time compliance layer that acts as an “immune system” for AI, making large language models safe to deploy across regulated industries.
- **Entity Type**: Private (Pre-Seed, $1M total funding)
- **Headquarters**: Austin, Texas, United States
- **Founded**: 2022 (Pre-Seed round closed April 2022)
- **Founders**: Owen Sakawa (CEO & Co-Founder), Jackson Mwaniki (CTO & Co-Founder), Aaron Madolora (CPO & Co-Founder)

## Core Business
- **Primary industry**: AI Safety & Governance, Enterprise Compliance, Cybersecurity
- **Target customers**: Governments, hospitals, financial institutions, and other regulated enterprises (B2B)
- **Mission statement**: “Build the immune system for AI—systems that make AI safe, truthful, and compliant in the real world.”

## Products & Services
- **Elloe AI Platform**: An API/SDK that sits on top of an LLM’s output layer, providing three “anchors”:
  1. **Fact-checking anchor** – verifies responses against trusted sources.
  2. **Regulatory compliance anchor** – checks for violations of HIPAA, GDPR, PII exposure, and other regulations.
  3. **Audit trail anchor** – logs every decision, source, and confidence score for full traceability.
  The platform is not built on another LLM, but uses machine learning and human-in-the-loop oversight.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Annual Revenue ~$870K (company-reported); Total Funding $1M (Pre-Seed, led by Mad Ventures in April 2022)
- **Notable Investors/Partners**: Mad Ventures (sole lead investor in Pre-Seed round); also acquired Saada (2022)
- **Growth Signals**: Finalist (Top 20) in TechCrunch Disrupt 2025 Startup Battlefield; headcount growth trending negative (-16.7% YoY) but still hiring for multiple roles as of late 2025; offices opened in Nairobi and London; claims to have prevented 100,000+ medical errors, blocked $20M+ in biased loans, and protected 12M+ AI-driven risks.

## Competitive Advantages
- **Not an LLM judging LLMs**: Elloe AI’s system uses its own ML models and human analysts, avoiding the “Band-Aid on a wound” problem of having one LLM check another.
- **Multi-layer anchor system**: Fact-checking, regulatory compliance, and full audit trail are built-in, not bolted on.
- **Regulatory expertise**: The company keeps up with evolving global regulations (HIPAA, GDPR, etc.) and employs humans-in-the-loop to stay current.
- **Early trust in regulated verticals**: Already deployed by governments, hospitals, and enterprises, giving them domain-specific credibility.

## Strategic Focus
- **Deepen compliance capabilities**: Expand coverage of regulatory frameworks and jurisdictions.
- **Global expansion**: Offices in Austin, Nairobi, and London suggest a push into North America, Africa, and Europe.
- **Product development**: Building out “anchors” for more use cases, and possibly edge inference for GPU environments (as seen in job postings for Principal Engineer – Distributed Systems).
- **Talent acquisition**: Actively hiring for roles in engineering, design, product, policy, and communications – indicating a growth phase focused on scaling the team despite recent headcount dip.

## Why Work Here
- **Mission-driven culture**: The team describes itself as “mission-first, values-led,” focused on making AI safe and trustworthy in critical domains.
- **Small, global team**: With ~10 employees across three continents, new hires can have outsized impact and direct exposure to founders.
- **Flexible work options**: Job postings list “In-Office or Remote” for most roles, with the Austin HQ operating on-site; typical time on-site is listed as “OnSite Workspace” for HQ, but remote arrangements appear available.
- **High-profile visibility**: Being a Top 20 finalist at TechCrunch Disrupt 2025 gives the company industry recognition and a startup event pedigree.
- **Meaningful impact**: The company’s own metrics (100K+ medical errors prevented, $20M+ biased loans blocked) suggest employees contribute to directly measurable social good.
- **Diverse, distributed team**: Team members come from backgrounds including Cerner, SAP, Freshworks, Kenya Power, and others, indicating a mix of enterprise and startup experience.

## Sources
1. [TechCrunch](https://techcrunch.com/2025/10/28/elloe-ai-wants-to-be-the-immune-system-for-ai-check-it-out-at-disrupt-2025/)
2. [LinkedIn](https://linkedin.com/company/elloe-inc)
3. [Elloe AI – Who We Are](https://www.elloe.ai/who-we-are)
4. [Built In – Elloe AI Careers](https://builtin.com/company/elloe-ai)
5. [Gem – Elloe AI Careers](https://jobs.gem.com/elloe-ai)

## Other roles at Elloe AI

- [Member of Technical Staff – AGI Governance Researcher (Constitutional Safety)](https://feeny.ai/job/member-of-technical-staff-agi-governance-researcher-constitutional-safety-elloe-e2zwy76efft6) — San Francisco, CA
- [Principal Engineer – Distributed Systems (GPU Edge + Inference)](https://feeny.ai/job/principal-engineer-distributed-systems-gpu-edge-inference-elloe-ai-austin-1ebxd0k753ff) — Austin, TX
- [Product Manager – Enforcement Infrastructure (LLM + Vault)](https://feeny.ai/job/product-manager-enforcement-infrastructure-llm-vault-elloe-ai-austin-sz8p3dj7n48d) — Austin, TX
- [Member of Technical Staff – ML Security Engineer (Red Teaming + Patch Risk Forecasting)](https://feeny.ai/job/member-of-technical-staff-ml-security-engineer-red-teaming-patch-risk-kfqrxs0gn25j) — Austin, TX
- [LLM Red Team Intern (Evaluation Systems)](https://feeny.ai/job/llm-red-team-intern-evaluation-systems-elloe-ai-austin-q8t54b7ywt5w) — Austin, TX
- [Technical Product Intern (Compliance x LLM Ops)](https://feeny.ai/job/technical-product-intern-compliance-x-llm-ops-elloe-ai-austin-c254wg70xaws) — Austin, TX
- [MBA Intern – Strategic Growth & GTM (Founder Office)](https://feeny.ai/job/mba-intern-strategic-growth-gtm-founder-office-elloe-ai-austin-genfb4sn5e6x) — Austin, TX
- [Design Intern (Narrative + Interface Systems)](https://feeny.ai/job/design-intern-narrative-interface-systems-elloe-ai-austin-pa5m274e6mn9) — Austin, TX
- [Sales Ops & Revenue Intern (Pilot GTM x Signal Ops)](https://feeny.ai/job/sales-ops-revenue-intern-pilot-gtm-x-signal-ops-elloe-ai-austin-x1b53xdajp4q) — Austin, TX
- [Communications Intern (AI Policy + GTM)](https://feeny.ai/job/communications-intern-ai-policy-gtm-elloe-ai-austin-h6r7bdzaqtb8) — Austin, TX