ZipRecruiter

Log In

2

Full Time Ai Startup Jobs (NOW HIRING)

NxT Level

Full Stack Engineer

Manhattan, NY · On-site

... Type: Full-time Experience: New grad to 2 years Focus: Full-Stack Engineering, AI Coding Tools ... Own real product and tooling surface area in a tiny, fast-moving startup * Ship practical, useful ...

NxT Level

Full Stack Engineer

Manhattan, NY · On-site

... Type: Full-time Experience: New grad to 2 years Focus: Full-Stack Engineering, AI Coding Tools ... Own real product and tooling surface area in a tiny, fast-moving startup * Ship practical, useful ...

NxT Level

Full Stack Engineer

Manhattan, NY · On-site

... Type: Full-time Experience: New grad to 2 years Focus: Full-Stack Engineering, AI Coding Tools ... Own real product and tooling surface area in a tiny, fast-moving startup * Ship practical, useful ...

Raydar

Founding Engineer

Chelsea, NY · On-site

$180K - $250K/yr

Our client is a fast-growing AI startup building multimodal sales and lifecycle agents for youth ... Full-time, in-person role in Chelsea, New York City.

Raydar

Founding Engineer

Chelsea, NY · On-site

$180K - $250K/yr

Our client is a fast-growing AI startup building multimodal sales and lifecycle agents for youth ... Full-time, in-person role in Chelsea, New York City.

David Joseph & Company

Founding Engineer

New York, NY · On-site

$180K - $250K/yr

New York, NY · On-site (5 days/week) · Full-time Compensation: $180K - $250K + founding equity About the Company Our client is a stealth-stage AI startup building multi-modal agents (voice, SMS ...

ThinkingAhead

SaaS Sales Executive

Philadelphia, PA · On-site

$160K - $225K/yr

Your job is to own that engine full time. You'll recruit new referral partners, keep current ... The founding sales seat at a growing AI startup * A warm, referral-fed pipeline and a product ...

previous page

Showing results 41-60

All Jobsai startup Jobsfull time JobsFull Time Ai Startup Jobs

Full Time Ai Startup information

See salary details

$59.5K

$129.8K

$183.5K

How much do full time ai startup jobs pay per year?

As of Sep 6, 2026, the average yearly pay for full time ai startup in the United States is $129,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $151,000.00 per year, depending on experience, location, and employer.

What is a full time AI startup?

A Full Time AI Startup is a business that is entirely focused on developing and deploying artificial intelligence solutions, with its team members working full time on the company's AI-driven products or services. These startups typically operate at the cutting edge of technology, leveraging machine learning, data science, and automation to solve problems in various industries. Employees in a full time AI startup environment often collaborate closely in a fast-paced, innovative setting, aiming to quickly build, test, and scale AI applications. The full-time commitment means founders and employees dedicate their primary working hours to growing the company and advancing its technologies.

What are the key skills and qualifications needed to thrive as a full time AI startup professional?

To thrive in a full-time role at an AI startup, you generally need a strong background in computer science, machine learning, and data analysis, often supported by a relevant degree or hands-on project experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and cloud platforms like AWS or Google Cloud is typically required. Exceptional problem-solving, adaptability, and strong communication skills help you navigate the fast-paced, collaborative startup environment. These skills and qualities are essential to drive innovation, meet rapid development goals, and contribute meaningfully to the growth and success of the startup.

What are some common challenges faced by employees working at a full time AI startup, and how can they navigate them?

Employees at AI startups often encounter rapid changes in project scope, tight deadlines, and the need to wear multiple hats due to smaller team sizes. It's common to juggle research, development, and even client-facing tasks, which can be both exciting and demanding. To succeed, adaptability and proactive communication are essential, as is a willingness to continuously learn new technologies. Collaborating closely with cross-functional teams and embracing a growth mindset can help employees thrive in this dynamic environment.

What is the difference between Full Time Ai Startup vs Data Scientist?

AspectFull Time Ai StartupData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI toolsBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentFast-paced, innovative startup setting focused on AI product developmentCorporate or research environment analyzing data to inform decisions
Employer & Industry UsageAI-focused startups across tech, healthcare, financeCompanies across industries utilizing data analysis for insights

While both roles require strong technical skills and a background in data or AI, a Full Time Ai Startup typically involves working on developing AI products in a dynamic startup environment. In contrast, a Data Scientist often focuses on analyzing data to generate insights within established organizations. The roles overlap in credentials and industry usage but differ in daily tasks and work setting.

More about Full Time Ai Startup jobs

What cities are hiring for Full Time Ai Startup jobs?

Cities with the most Full Time Ai Startup job openings:

What are the most commonly searched types of Ai Startup jobs?

The most popular types of Ai Startup jobs are:

What states have the most Full Time Ai Startup jobs?

States with the most job openings for Full Time Ai Startup jobs include:

What job categories do people searching Full Time Ai Startup jobs look for?

The top searched job categories for Full Time Ai Startup jobs are:

Full Time Ai Startup jobs near you
Infographic showing various Full Time Ai Startup job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $129,801 per year, or $62.4 per hour.

Founding Forward Deployed Engineer

David Joseph & Company

San Francisco, CA • Hybrid

$180K - $230K/yr

Full-time

Posted 15 days ago

Key responsibilities

  • Embed with customers to learn their onboarding, adoption, and renewal processes and identify where AI agents add value

  • Deploy, configure, and connect AI agents to customer data sources and systems, and get agents into production

  • Debug live deployments, perform root-cause analysis, and improve the platform based on deployment issues

Job description

SF Bay Area, CA · Hybrid · Full-time
Compensation: $180K–$230K base + competitive equity

About the Company

Our client is a seed-stage AI startup rebuilding B2B customer operations around long-running AI agents. Instead of the usual support chatbots or pre-sales tooling, they focus on the messy post-sale lifecycle — onboarding, adoption, QBRs, renewals, and churn — deploying agents that deliver high-touch service at scale. They are backed by well-known venture investors and already have enterprise customers running the product in production.
Founded 2025 · small founding team · Industry: AI, B2B, Enterprise

The Role

We are hiring a Founding Forward Deployed Engineer to embed directly with enterprise customers and take our client's AI agents from scoping to production. You will own accounts end-to-end and feed everything you learn in the field back into the core product — the technical heartbeat of a fast-growing applied-AI team.

What you'll be doing

  • Embed with customers to learn how they run onboarding, adoption, and renewals, then identify where the agents drive the most value
  • Deploy and configure agents against real customer systems — connecting to data sources (warehouses, CRM, BigQuery), wiring up SSO and integrations, and getting agents into production
  • Build evals against real customer data to prove agent quality, and iterate until they clear the bar
  • Partner with the go-to-market team as the technical credibility in customer conversations, helping close, activate, and expand accounts
  • Debug live deployments, run root-cause analysis, and improve the platform when it gets in the way
  • Own the smallest end-to-end slice that proves value, then expand from there

Tech stack: Python, FastAPI, React, PostgreSQL, LLMs, RAG, BigQuery, CI/CD, agent frameworks

Requirements
  • Roughly 2–7 years across full-stack software engineering and/or forward-deployed engineering
  • Either a senior profile (about 5–7 years, with a couple of years each in software engineering and in a forward-deployed / customer-facing role at a strong company or startup) or a high-slope earlier-career profile (2–3 years with standout internships, an early promotion track, or founding-engineer experience at a venture-backed startup)
  • A track record of shipping AI/LLM features end-to-end into production — real systems, not just prototypes
  • Direct experience working inside customer environments (forward-deployed, solutions engineering, or similar)
  • Strong Python on the backend (FastAPI) and React on the frontend
  • A CS or Engineering degree, or equivalent skill proven by a history of shipping production systems
  • Based in, or willing to relocate to, the SF Bay Area for hybrid work
Nice to Haves
  • Experience building evals to measure and hill-climb LLM or agent quality
  • Familiarity with agent frameworks, RAG, and connecting AI systems to customer data sources and warehouses
  • Comfort partnering with go-to-market teams and being the technical voice in the room with customers
Why Join
  • A founding role with broad ownership over product and infrastructure, and real architectural influence
  • Fast feedback loops, strong promotion potential, and deep hands-on exposure to applied AI — voice agents, memory systems, knowledge graphs, and agentic workflows
  • Competitive base plus meaningful equity at an early-stage, well-backed company with genuine enterprise traction
Details
  • Location: SF Bay Area, CA
  • Work policy: Hybrid
  • Compensation: $180K–$230K + equity
  • Visa sponsorship: Not available (US citizens / Green Card holders only)
  • Employment type: Full-time