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Ai Engineer Salary In Jobs (NOW HIRING)

Fluency

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

This is an in-person role, 5 days a week in our office. The ability to tell the difference between ... Base salary: US$180,000 to US$250,000 * ESOP: Available * US$1,000 per month food and commuting ...

EQL Tech

AI Engineer

Phoenix, AZ

$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 ...

Verathon, Inc.

$115K - $231K/yr

Overview The AI Engineer plays a critical hands-on role in bringing Verathon's AI strategy to life ... Salary range - $115,000.00 - $231,000.00 (Compensation will vary based on skills, experience and ...

Amplify Education, Inc.

AI Engineer

$135K - $175K/yr

The AI Engineer is crucial for integrating sophisticated AI technologies, including generative AI ... in-class development programs. The gross salary range for this role is $135,000 - $175,000. This ...

RSC2 INC

AI Engineer

Hanover, MD

$118K - $263K/yr

RSC2 is seeking an amazingly talented AI Engineer to join our team in Hanover, MD! Requirements In ... in the application or interview process, please contact us at careers@rsc2.com. Salary at RSC2 is ...

Verathon, Inc.

AI Engineer

$115K - $231K/yr

Overview The AI Engineer plays a critical hands-on role in bringing Verathon's AI strategy to life ... Salary range - $115,000.00 - $231,000.00 (Compensation will vary based on skills, experience and ...

MaxLinear, Inc.

AI Engineer

Irvine, CA · Hybrid

$75K - $102K/yr

In this role, you will focus on the following: * Evaluate AI platforms and large language models ... MaxLinear's good faith estimate starting base salary range is: $75,000 to $102,000 Annually We ...

MaxLinear, Inc.

AI Engineer

Irvine, CA · On-site

$75K - $102K/yr

In this role, you will focus on the following: * Evaluate AI platforms and large language models ... MaxLinear's good faith estimate starting base salary range is: $75,000 to $102,000 Annually We ...

Axcelis

AI Engineer

Beverly, MA · On-site +1

$119K - $179K/yr

In this role, you will be responsible for designing, developing, and implementing advanced AI ... BASE SALARY RANGE $119,896.80 - $179,845.20 This base salary range reflects the typical ...

Goal Solutions

AI Engineer

San Diego, CA · On-site

$140K - $150K/yr

In this hybrid role, you will design, build, and scale AI-driven systems that improve operational ... Salary Description $140,000-$150,000, eligible for a 15% annual bonus

Axcelis Technologies

AI Engineer

Beverly, MA · On-site

$119K - $179K/yr

In this role, you will be responsible for designing, developing, and implementing advanced AI ... BASE SALARY RANGE $119,896.80 - $179,845.20 This base salary range reflects the typical ...

Suffolk Construction

AI Engineer

Boston, MA

Compensation Information The expected salary range for this position (AI Engineer) in US-MA-Boston is between $152,000 and $222,600 USD. This represents the typical salary range for this position and ...

Canyon State Electric

AI Engineer

Tempe, AZ

AI Engineer Position Overview The AI Engineer will lead the evaluation, implementation, and ... The ideal candidate has a strong background in AI tools, automation, and data-driven solution ...

MONTICELLOAM

AI Engineer

New York, NY

$110K - $140K/yr

Monticello is seeking team players who can work in a collaborative environment and possess drive ... The base salary range for this position is $110,000-$140,000/year. The specific compensation that ...

RSC2

AI Engineer

Hanover, MD · On-site

$118K - $263K/yr

RSC2 is seeking an amazingly talented AI Engineer to join our team in Hanover, MD! Requirements: In ... in the application or interview process, please contact us at careers@rsc2.com. Salary at RSC2 is ...

Amplify

AI Engineer

Brooklyn, NY · On-site

$135K - $175K/yr

The AI Engineer is crucial for integrating sophisticated AI technologies, including generative AI ... in-class development programs. The gross salary range for this role is $135,000 - $175,000. This ...

Guru Schools

AI Engineer

Washington, DC · On-site

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field. Experience * Minimum 3 years of experience in AI/ML model development and deployment. * Experience with ...

Leidos

AI Engineer

San Diego, CA

The AI engineer will work closely with mission stakeholders to capture requirements, aid in ... salary. Additional factors considered in extending an offer include (but are not limited to ...

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Ai Engineer Salary In information

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$39K

$101.8K

$137.5K

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

As of Jun 13, 2026, the average yearly pay for ai engineer salary in in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is the average salary of an AI Engineer in India?

The average salary of an AI Engineer in India ranges from ₹8 lakhs to ₹20 lakhs per year, depending on experience, location, and company. Entry-level AI engineers can expect to earn around ₹6-8 lakhs annually, while those with several years of experience or specialized skills may earn ₹20 lakhs or more. Factors such as the industry, educational background, and proficiency in machine learning, deep learning, or data science can also influence salary levels.

What are the key skills and qualifications needed to thrive as an AI Engineer, and why are they important?

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and programming languages such as Python, along with a degree in a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, experience with data processing tools, and sometimes certifications in AI or data science are highly valuable. Problem-solving, creativity, and effective communication are crucial soft skills for developing innovative AI solutions and collaborating with diverse teams. These skills and qualities ensure the ability to design, implement, and optimize AI systems that drive business and technological advancements.

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

AspectAi EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, R&D labs, AI startupsResearch firms, tech companies, finance, healthcare
Employer & Industry UsageDeveloping AI models, deploying AI solutionsAnalyzing data, building predictive models

Both roles require strong technical skills and similar educational backgrounds. Ai Engineers focus on developing and deploying AI systems, while Data Scientists analyze data to inform decisions. Salary differences depend on experience, location, and industry demand.

Do AI engineers get paid well?

AI engineers typically earn high salaries due to the specialized skills required, such as expertise in machine learning, deep learning, and programming languages like Python. Salaries vary based on experience, location, and industry, but they are generally above average compared to other tech roles.

What is a $900,000 AI job?

A $900,000 AI job typically refers to senior or executive roles such as AI Directors, Chief AI Officers, or senior machine learning engineers with extensive experience, advanced skills, and leadership responsibilities. These positions often require expertise in deep learning, data science, and AI tools, and may include bonuses or stock options that contribute to high total compensation.

What are some common challenges AI Engineers face when working on real-world machine learning projects?

AI Engineers often encounter challenges such as dealing with imperfect or unbalanced datasets, managing computational resource limitations, and ensuring that models generalize well to new data. Collaboration with domain experts and data scientists is essential to accurately define project requirements and evaluate model performance. Additionally, AI Engineers need to keep up with rapidly evolving technologies and best practices to deliver impactful and scalable solutions in a team-oriented environment.

What engineers make $500,000?

Senior AI engineers with extensive experience, specialized skills in machine learning, deep learning, and large-scale data processing can earn salaries approaching or exceeding $500,000, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Which 3 jobs will survive AI?

AI engineers are likely to continue thriving as they develop, implement, and maintain AI systems, requiring expertise in machine learning, programming, and data analysis. Other resilient roles include healthcare professionals, such as doctors and nurses, who rely on human judgment and empathy, and skilled tradespeople like electricians and plumbers, whose work depends on physical skills and on-site problem solving. These jobs involve complex human interaction or physical tasks that are difficult for AI to replicate fully.
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Ai Engineer Salary In jobs near you
Infographic showing various Ai Engineer Salary In job openings in the United States as of June 2026, with employment types broken down into 11% As Needed, 56% Full Time, and 33% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.
AI Engineer

AI Engineer

Fluency

San Francisco, CA • On-site

$150K - $250K/yr

Full-time

Posted 28 days ago

Job description

We're hiring a full-time AI Engineer to own the prompts, agents, evals, and pipelines behind user-facing features that ship to users.
You'll take product requirements and turn them into working prompts, agents, and pipelines. You'll evaluate them rigorously, iterate until they're production-ready, and keep improving them once they ship. This role sits at the intersection of product and platform: you decide what the AI should do, prove it works, and get it in front of users.
Because we're an early-stage company moving fast, we're looking for someone who can work quickly through ambiguous AI problems, measure output quality, and ship only when the system is reliable enough for production. This is an in-person role, 5 days a week in our office. The ability to tell the difference between "looks good in the demo" and "works in production" is essential.
Key Responsibilities
  • Build new AI features end to end, from prototype to production.
  • Improve AI output quality through prompt engineering, model selection, retrieval, and evaluation.
  • Design and run evals that measure real output quality, not just first impressions.
  • Iterate fast on prompts, agent designs, and orchestration patterns.
  • Partner with the Product Engineer to translate requirements into AI features that actually work.
  • Partner with the AI Platform team to land features on solid infrastructure.
  • Evaluate new models, tools, and techniques when they improve quality, latency, cost, or reliability.

What We Are Looking For
  • Hands-on experience building LLM-powered features that shipped to real users
  • Production engineering chops in TypeScript/Node (primary, especially in AWS Lambda) and/or Python
  • Experience with multiple LLM providers such as Anthropic, OpenAI, Google Vertex, AWS Bedrock, or similar
  • Practical judgment in prompt engineering, retrieval, and agent design, backed by evaluation results
  • Track record of building evaluation systems that actually catch regressions
  • Solid software engineering fundamentals: you can write production code, not just notebooks

Nice to Have
  • Experience with provider-abstraction libraries for multi-LLM workflows
  • Familiarity with pgvector or other vector retrieval systems
  • Experience with post-training or fine-tuning
  • Experience deploying AI features on AWS Lambda, ECS Fargate, or similar
  • Background in ML, NLP, or applied research
  • Experience with structured output, function calling, and tool use at scale
  • Experience with Anyscale Ray or similar distributed compute frameworks for batch inference, eval pipelines, or scaling agent workloads
  • Open source contributions in the LLM or agent tooling space

About Fluency
Fluency builds a platform that captures how work actually happens inside large organizations, measures productivity and process conformance, and analyzes where AI can do the work.
We capture observable work data across tools and systems, structure it into a model of how work runs, and use it to measure productivity, check process conformance, and analyze where AI changes the work.
Fluency is looking for an AI Engineer to own the AI quality and the prompts, agents, evals, and pipelines behind user-facing features that ship to Fortune 500 users.
Our Customers
Customers include CVS Health, Aon, and PVH.
Location
  • Full-time, in-person role based in San Francisco, CA.
  • We offer E-3 sponsorship for Australians to relocate with stipend.

This role is not a fit if
  • You want hybrid or remote
  • You're not comfortable with rapid iteration
  • You've never operated production pipelines
  • You dislike constraints (we have them: cost, latency, reliability tradeoffs are real)
  • You don't have a good reason for wanting to work at an early-stage company

Hiring Process
  • Resume screen
  • 1:1 with founder
  • Technical deep-dive on past AI engineering work
  • Work through a real problem with the team
  • Offer

We strongly encourage applicants from underrepresented backgrounds to apply. Diverse teams build better products.
Compensation & Benefits
  • Base salary: US$180,000 to US$250,000
  • ESOP: Available
  • US$1,000 per month food and commuting allowance
  • Laptop of choice

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