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Overnight Ai Engineer Salary In Jobs (NOW HIRING)

Distyl AI

AI Engineer

New York, NY · On-site

AI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI ... salary range for this role is $150K - $250K, depending on experience, location, and level. In ...

Scout AI

AI Engineer

Sunnyvale, CA · On-site

The Role We're looking for an AI Engineer to join the Fury Orchestration Team with a deep passion ... In addition, Scout AI provides comprehensive, top-tier benefits to full-time employees. US Salary ...

Nolla Health

Founding AI Engineer

New York, NY · On-site

$160K - $220K/yr

THE ROLE This is an AI engineering role, not an ML engineering role. You won't be training models ... Salary: $160,000-$220,000, based on experience * Job Type: Full-time * Work Setup: In-person, New ...

P-1 AI

AI Engineer

San Francisco, CA · On-site

$200K - $290K/yr

At P-1 AI, we are building an AI engineer agent for the physical world named Archie. We maximize ... Onsite in San Mateo, CA. Relocation support available. Benefits: Competitive salary, meaningful ...

Mondo

AI Engineer

Raleigh, NC · Remote

$130K - $160K/yr

AI Engineer, location is remote in the Raleigh, NC area with onsite collaboration as needed. The start date is end of July / early August for this permanent salaried position with a one-year end date.

Oscar Technology

AI Engineer

San Jose, CA · On-site

$230K - $280K/yr

San Jose, CA Salary: $230K - $280K An AI startup is hiring Mid and Senior Python Software Engineer ... This is an opportunity to get in early at a pre-seed company where engineers take ownership over ...

Oscar Technology

AI Engineer

San Jose, CA · On-site

$230K - $280K/yr

San Jose, CA Salary: $230K - $280K An AI startup is hiring Mid and Senior Python Software Engineer ... This is an opportunity to get in early at a pre-seed company where engineers take ownership over ...

Boom Pay, Inc

AI Engineer

Austin, TX · On-site

$120K - $200K/yr

For this role, we are hiring for candidates in Austin, TX, where our leadership and product team is ... Competitive salary with stock options * Full healthcare coverage (health, dental, vision) including ...

Scout AI

AI Engineer

Sunnyvale, CA

Proficiency in Python, PyTorch, and modern machine learning infrastructure * Experience training ... Competitive compensation package including base salary and bonus * Meaningful equity * Premium ...

Brooksource

AI Engineer

Miami, FL · On-site

$55 - $65/hr

Senior AI Engineer (Agentic AI) Miami, FL On-Site role. Compensation: $65 ABOUT THE ROLE Our client ... salary. Additional factors considered in extending an offer include (but are not limited to ...

Booz Allen Hamilton, Inc.

AI Engineer

Reston, VA · On-site

$99K - $225K/yr

In this role, you'll own and define the direction of critical solutions by applying best-fit ML ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Booz Allen Hamilton, Inc.

AI Engineer

Fort Belvoir, VA · On-site

$99K - $225K/yr

In this role, you'll own and define the direction of critical solutions by applying best-fit ML ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Booz Allen Hamilton

AI Engineer

Fort Belvoir, VA

$99K - $225K/yr

In this role, you'll own and define the direction of critical solutions by applying best-fit ML ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

Booz Allen Hamilton

AI Engineer

Reston, VA

$99K - $225K/yr

In this role, you'll own and define the direction of critical solutions by applying best-fit ML ... Salary at Booz Allen is determined by various factors, including but not limited to location, the ...

EQL Tech

AI Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been ... Competitive Salary: $125,000 - $175,000 per year, commensurate with experience. * Generous Founding ...

EQL Tech

AI Engineer

San Francisco, CA · On-site

$125K - $175K/yr

AI Engineer Location: San Francisco, CA or Phoenix, AZ (In-Office) Partnership: EQL Tech has been ... Competitive Salary: $125,000 - $175,000 per year, commensurate with experience. * Generous Founding ...

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Overnight Ai Engineer Salary In information

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$36.5K

$107.3K

$137.5K

How much do overnight ai engineer salary in jobs pay per year?

As of Jul 29, 2026, the average yearly pay for overnight ai engineer salary in in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

An experienced senior AI engineer or machine learning engineer working in high-demand industries or at top tech companies can earn $500,000 or more annually, especially with bonuses and stock options. Such roles typically require advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, often combined with years of experience and a strong educational background.

What is the salary of AI engineer per day?

The daily salary of an AI engineer varies based on experience, location, and project complexity, but typically ranges from $300 to $800 per day for full-time contractors or freelance professionals. Salaries are often calculated based on an annual salary divided by the number of workdays, with experienced engineers earning higher rates due to specialized skills in machine learning, deep learning, and AI tools.

What is the difference between Overnight Ai Engineer Salary In vs Data Scientist?

RoleAverage SalaryWork EnvironmentRequired Credentials
Overnight Ai Engineer$110,000 - $140,000Tech companies, AI labs, 24/7 operationsBachelor's or higher in CS, AI, or related fields; experience with AI models
Data Scientist$90,000 - $130,000Corporate offices, research firms, analytics teamsBachelor's or higher in CS, statistics, or related fields; proficiency in data analysis

While both roles require strong technical credentials and involve working with data and AI, Overnight Ai Engineers typically focus on developing and maintaining AI systems during overnight shifts, often in 24/7 environments. Data Scientists analyze data to inform business decisions and may work during regular hours. Salary ranges overlap, but Overnight Ai Engineers tend to earn slightly higher due to shift premiums and specialized AI responsibilities.

Can you make $250,000 as an engineer?

Overnight AI engineers with advanced skills and experience in machine learning, deep learning, and cloud platforms can potentially earn $250,000 or more annually, especially in high-demand markets or senior roles. Achieving this salary often requires specialized expertise, certifications, and a strong track record of successful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions such as AI research directors, senior machine learning engineers, or AI executives earning this salary through extensive experience, advanced skills, and leadership responsibilities. These roles often require expertise in deep learning, large-scale data processing, and strategic planning, and may involve working in competitive industries like technology or finance.
What cities are hiring for Overnight Ai Engineer Salary In jobs? Cities with the most Overnight Ai Engineer Salary In job openings:
What are the most commonly searched types of Ai Engineer Salary In jobs? The most popular types of Ai Engineer Salary In jobs are:
What states have the most Overnight Ai Engineer Salary In jobs? States with the most job openings for Overnight Ai Engineer Salary In jobs include:
Overnight Ai Engineer Salary In jobs near you

AI Engineer

Distyl AI

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 29 days ago

Job description

About Distyl AI
Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations - both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.
What We Are Looking For
AI Engineers build and operate production AI systems that deliver business value inside customer environments. This role is for engineers who thrive in ambiguous problem spaces, take ownership of outcomes, and want to work directly on AI systems that must perform reliably under enterprise constraints.
AI Engineers are hands-on builders. They design, implement, deploy, and iterate on end-to-end AI systems in close partnership with customers, subject matter experts, and other Distyl engineers. They translate messy operational needs into concrete system behavior, build the software and AI workflows required to support that behavior, and continuously improve systems through evaluation, feedback, integration, and production iteration.
This is not a demo-building role. AI Engineers are expected to make AI systems work in practice: with users, data, constraints, and accountability for production outcomes.
Key Responsibilities
  • Build and operate AI systems deployed in customer environments, taking ownership of system behavior, reliability, and usefulness in production
  • Design and implement compound AI workflows that combine models, prompts, agents, tools, retrieval, evaluation, feedback loops, and execution into coherent production systems aligned with user and SME needs
  • Develop clean, maintainable Python services and application logic that integrate AI capabilities into customer workflows, data platforms, APIs, and existing applications
  • Operate on live systems by measuring behavior, identifying failure modes, debugging issues, and iterating rapidly to improve quality, reliability, and user value
  • Build evaluation frameworks, test cases, feedback mechanisms, and observability patterns that help teams understand and improve AI system performance over time
  • Work directly with customer stakeholders and subject matter experts to understand workflows, clarify requirements, reason about tradeoffs, and adapt systems as needs evolve
  • Use AI-native engineering tools to accelerate implementation, debugging, experimentation, data analysis, and system improvement
  • Collaborate with other AI Engineers, AI Strategists, and other Distillers to make pragmatic system design decisions that balance speed, robustness, maintainability, and customer impact
  • Take accountability for the production outcomes of the components, workflows, and systems you build

What We Require
  • 2+ years of software engineering experience
  • Ownership mentality for AI systems. You take responsibility for whether the systems you build deliver their intended value in production. You are comfortable making technical decisions, learning from system behavior, and owning the results of your work
  • Experience building AI systems. You have built applications powered by LLMs or other AI models and are comfortable composing multiple components - prompts, agents, tools, retrieval, evaluators, workflows, and integrations - into end-to-end systems. You reason about system behavior holistically rather than treating models as black boxes
  • Strong engineering fundamentals. You write clean, maintainable Python and are comfortable building production software systems. You understand core engineering concepts like versioning, debugging, testing, performance, code review, and production readiness
  • AI-native working style. You use AI tools daily to write and debug code, explore designs, analyze data, and automate repetitive work. You are curious about new model capabilities and techniques, and actively incorporate them into how you build and iterate on systems
  • Comfort in customer environments. You are able to work directly with customer teams, ask good questions, and adapt quickly to new domains. You communicate clearly about system behavior, limitations, and tradeoffs, and can operate effectively in high-trust, high-visibility situations
  • Pragmatic delivery mindset. You can navigate ambiguity, make progress with incomplete information, and balance speed with robustness when building systems that need to work for production users
  • Willingness to travel. Travel is typically 10-30%, depending on the project, customer needs, and your role on the engagement

What We Offer
  • The base salary range for this role is $150K - $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible time off
  • Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources
  • Comprehensive wellness benefits, including physical fitness, mental well-being, and fertility and family-building benefits through Carrot
  • Complimentary in-office lunches and snacks provided
  • Access to state-of-the-art AI models, generous usage of modern AI tools, and real-world business problems
  • Ownership of high-impact projects across top enterprises
  • A mission-driven, fast-moving culture that values curiosity, pragmatism, and excellence

Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday-Thursday) in‑office.
#LI-Hybrid
We believe diverse perspectives make our work stronger and more impactful. We are an equal opportunity employer and evaluate all applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other legally protected characteristic. We encourage candidates from all backgrounds to apply.

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