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Founding Ai Jobs (NOW HIRING)

K1

AI Automation Intern

Manhattan Beach, CA · On-site

$40/hr

AI Automation Intern Founding AI Team Reporting Directly to Partner If you want to move fast, ship real things, and have outsized impact at a leading PE firm--keep reading. Position Summary: K1 is ...

Pear

Founding AI Engineer - Manhattan Labs

San Francisco, CA · On-site

$123K - $169K/yr

Learn more at ;br> Description of the role This is a true founding engineer role . You won't just ship features - you'll define the system. You'll architect and build an AI-native platform that ...

Navi AI

ML/AI Founding Engineer

San Francisco, CA · On-site

About the role This is a founding AI/ML role. You'll own the intelligence layer that sits at the core of everything Navi does - from audio diarization and speech recognition to maneuver detection ...

Vocca

Founding AI Deployment Lead - US Market

New York, NY · On-site

$200K - $300K/yr

... founding team. * The path from individual contributor to leader of the US deployment org. * A steep learning curve across deployment, product and team building in a high-growth AI company. Role ...

Ayo Semiconductor

AI Lead

Boston, MA · On-site

The Role We are seeking a deep AI practitioner to join as a founding team member - someone with hands-on experience working on or alongside a foundation model at scale, who understands what happens ...

De Circle

Rengo AI - AI Engineer

New York, NY · On-site +1

$125K - $150K/yr

The Role As a Founding AI Engineer , you will build the core system that powers AI-driven portfolio monitoring for institutional investors . You will design systems that continuously: * ingest ...

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Founding Ai information

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$33.5K

$139.4K

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How much do founding ai jobs pay per year?

As of Aug 18, 2026, the average yearly pay for founding ai in the United States is $139,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $197,500.00 per year, depending on experience, location, and employer.

How do you start a founding AI career with no experience?

Starting a founding AI career with no experience involves gaining foundational knowledge through online courses, tutorials, and self-study in areas like machine learning, programming, and data analysis. Building a portfolio of projects, participating in open-source initiatives, and learning relevant tools such as Python and TensorFlow can help demonstrate skills to employers or investors. Entry often requires persistence, continuous learning, and networking within AI communities or startup environments.
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Founding Ai jobs near you
Infographic showing various Founding Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $139,438 per year, or $67 per hour.

Founding AI Engineer - Manhattan Labs

Pear

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision

Re-posted 11 days ago

Job description

About the team
We're building the AI-native compliance platform for community banks and financial institutions.
Regulatory pressure is intensifying. Financial crime is becoming more sophisticated. Compliance teams are overwhelmed by manual workflows and fragmented systems. Community banks, despite managing billions in assets, lack the tooling to keep up.
We're building the intelligence layer that changes that: a system that can answer questions like
"What is our exposure to this entity across all customers?"
- with a defensible, auditable answer.
Our team includes engineers and researchers from Stanford, Carnegie Mellon, and IIT Madras, and we're backed by Tier 1 investors and experienced operators who understand the massive opportunity in modernizing financial crime compliance with AI.
Learn more at https://manhattanlabs.co/
Description of the role
This is a true founding engineer role. You won't just ship features - you'll define the system.
You'll architect and build an AI-native platform that operates as the investigative brain for compliance teams. This includes agentic reasoning systems, large-scale document ingestion, and user-facing tools that must stand up to regulatory scrutiny.
You will take the product from early-stage MVP to a secure, reliable, enterprise-grade system used by financial institutions.
By reimagining KYB and AML as autonomous intelligence, you'll help build the platform that becomes the default compliance infrastructure for thousands of community banks, that each manage assets worth billions of dollars. You'll work directly with the founding team, own technical decisions, and lay the foundation for a potentially massive and fast-growing SaaS company.
Responsibilities and potential impact
  • Design, build, and operate RAG and agentic systems over complex financial data (corporate registries, sanctions lists, beneficial ownership, adverse media), with clear evaluation metrics for accuracy, latency, and cost
  • Develop scalable backend services for document processing (PDF/OCR/CSV), async job queues, case lifecycle orchestration, and risk scoring with confidence-driven UX and human-in-the-loop controls
  • Own the productionization of AI systems, including evaluation pipelines, dataset/version management, and safe rollout strategies (A/B testing, guardrails, fallback behavior)
  • Harden the platform for enterprise: auth controls, role-based access, audit trails, backups, and monitoring with measurable SLOs
  • Establish CI/CD, deployment pipelines, runbooks, and incident response practices from the ground up
  • Propose and engage in cutting-edge AI research related to our mission, particularly around agentic reasoning over regulatory and financial data
  • Work directly with the founding team to define architecture, technical roadmap, and product direction

Must haves
  • 1+ years of experience on technical projects with startup experience strongly preferred
  • Strong TypeScript and Python skills across modern frontend and backend stacks
  • Hands-on experience shipping LLM integrations or RAG systems into production user-facing products
  • Experience with document processing, entity extraction, and structured data extraction from messy real-world sources
  • Solid grasp of API design, relational databases, and async job processing systems
  • Proven track record taking a product from "works locally" to reliable production at growing scale
  • Debugging instincts across frontend, backend, infra, and data boundaries - and an ownership mindset to match

Nice to haves
  • Knowledge of KYC/KYB/AML workflows, sanctions screening, beneficial ownership data, or regulated fintech
  • Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks
  • Familiarity with banking APIs, core banking systems, or financial data providers
  • Familiarity with OCR and document intelligence pipelines
  • Background in fintech, compliance, RegTech, or other regulated industries
  • Cloud deployment experience and DevOps knowledge in security-sensitive environments
  • Strong product intuition and user experience focus

What we offer
We believe in generous, top-tier compensation and benefits for our employees:
  • Competitive salary and equity
  • 100% health, dental, and vision coverage
  • Commuter stipend
  • Regular team events and off-sites

Apply