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Entry Level Ai Engineer Salary In Jobs (NOW HIRING)

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 ...

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 ...

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 ...

We build AI for the most important problem in defense - making sure the force is ready to fight ... Competitive salary and equity * Opportunity to help build a category-defining defense tech company

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 ...

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 ...

Founding AI Engineer

San Francisco, CA · On-site

$160 - $210/hr

We're looking for a Founding AI Engineer to improve Mason's accuracy on our evals. You will go deep ... In-person work is a must. Benefits * Competitive salary ($160k-$210k). * Generous early-stage ...

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 ...

Founding AI Engineer

San Francisco, CA · On-site

$160K - $210K/yr

We're looking for a Founding AI Engineer to improve Mason's accuracy on our evals. You will go deep ... In-person work is a must. Benefits * Competitive salary ($160k-$210k). * Generous early-stage ...

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 ...

Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data ... Competitive salary and benefits. Experience: 0-3 Years (Freshers are encouraged to apply ...

Are you passionate about building practical AI solutions that can be used in real business environments? At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ...

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

JOB Title: Java AI Engineer Location: Farmington Hills, MI (Hybrid) Hiring Type: Contract Note ... The candidate must be comfortable working in a fast-paced, research-driven environment, be a ...

AI Engineer

Bellevue, WA

$100K - $200K/yr

AI Engineer Golden Analytics Bellevue, WA Onsite Full-time - analytics/jobs/0f3f7020 -edf6-49d5 ... Bring existing AI models into a fast-moving BI platform and apply them in new ways. * Build AI ...

Showing results 21-40

Entry Level Ai Engineer Salary In information

See salary details

$30K

$69.4K

$118K

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

As of Sep 4, 2026, the average yearly pay for entry level ai engineer salary in in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What is the average salary for an entry level AI engineer in India?

The average salary for an entry level AI engineer in India typically ranges from ₹6 lakh to ₹12 lakh per annum, depending on factors such as the company, location, and educational background. Leading tech companies and startups in major cities like Bangalore, Hyderabad, and Pune often offer higher packages. Candidates with strong programming skills and knowledge of machine learning tools may command salaries at the higher end of this range.

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

To thrive as an Entry Level AI Engineer, you need a strong background in mathematics, programming (often Python), and foundational knowledge of machine learning concepts, typically supported by a relevant degree in computer science or engineering. Familiarity with tools such as TensorFlow, PyTorch, and version control systems, along with understanding of data analysis libraries, is common. Strong problem-solving, analytical thinking, and effective teamwork skills help set candidates apart. These abilities enable engineers to develop, implement, and collaborate on AI solutions that address real-world challenges efficiently and accurately.

What can entry-level AI engineers expect in terms of mentorship and collaboration when starting out?

Entry-level AI engineers typically work closely with senior engineers and data scientists, often as part of a multidisciplinary team. New hires are frequently paired with mentors who provide guidance on projects, coding practices, and use of AI frameworks. Regular team meetings and code reviews are standard, promoting a collaborative environment where questions and learning are encouraged. This structure helps entry-level engineers quickly develop technical skills and gain exposure to best practices in the industry.

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

AspectEntry Level Ai EngineerData Scientist
Average Salary$70,000 - $90,000$65,000 - $85,000
Required CredentialsBachelor's in CS, AI, or related field; knowledge of ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentTech companies, startups, R&D labsTech firms, finance, healthcare, research institutions

Entry Level AI Engineers and Data Scientists share similar educational backgrounds and work environments, often requiring knowledge of programming, machine learning, and data analysis. Salaries are comparable, with slight variations based on industry and location. Both roles are in high demand, making them attractive entry points into the AI and data fields.

How much do entry-level AI engineers make?

Entry-level AI engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Starting salaries often increase with skills in programming languages like Python, experience with machine learning frameworks, and relevant internships or certifications.

Is an entry level AI engineer an entry-level job?

An entry-level AI engineer position is considered an entry-level job, typically requiring minimal professional experience and focusing on foundational skills in programming, machine learning, and data analysis. These roles often serve as a starting point for careers in artificial intelligence and may require familiarity with tools like Python, TensorFlow, or PyTorch.

What is the starting salary for an entry level AI engineer?

The starting salary for an entry-level AI engineer typically ranges from $70,000 to $90,000 annually, depending on location, education, and skills such as proficiency in Python, machine learning frameworks, and data analysis. Entry-level roles often require a bachelor's degree in computer science or related fields and may include internships or project experience.
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Infographic showing various Entry Level Ai Engineer Salary In job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

$95 - $135/hr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Design and build multi-agent systems for autonomous reasoning, planning, and task execution

  • Architect orchestration patterns including tool use, memory, reflection loops, and human-in-the-loop handoffs

  • Deliver solutions across use cases such as developer productivity, knowledge retrieval, and process automation


Job description

We're looking for an Agentic AI Engineer to join our team in Denver. This hybrid role offers flexibility, with two days in the office and three days working remotely. Opening Date: 14/08/2026 End Date: 11/09/2026 This role sits within a newly established AI engineering squad, working across the full agentic stack. You'll design agent architectures and RAG pipelines and deliver autonomous agents into production to replace manual processes. It's a hands-on, delivery-focused role with immediate impact from day one. Agentic AI engineering is a rapidly evolving field, so we don't expect years of experience in a discipline that is still emerging. What matters is a track record of building real, production-grade solutions, strong software engineering fundamentals, and the curiosity to stay ahead. If you've been working in this space for 18+ months and can demonstrate live systems you've built, we'd love to hear from you.

What will you be doing?
  • Design and build multi-agent systems for autonomous reasoning, planning, and task execution
  • Architect orchestration patterns including tool use, memory, reflection loops, and human-in-the-loop handoffs
  • Deliver solutions across use cases such as developer productivity, knowledge retrieval, and process automation
  • Leverage GCP-native and enterprise-graded managed services ahead of building custom infrastructure
  • Develop end-to-end RAG architectures (ingestion, chunking, embedding, retrieval, reranking)
  • Select and manage appropriate vector databases and build pipelines to turn unstructured data into usable insights
  • Apply knowledge graph approaches (e.g. Neo4j) where deeper relational or semantic reasoning is needed
  • Define and implement evaluation frameworks, including automated testing and LLM-based assessment
  • Monitor and optimise agents for cost, latency, quality, and production performance
  • Collaborate across engineering and business teams to build scalable, compliant (GDPR/EU AI Act) and production-ready agentic solutions
We tend to look for people with:Essential:
  • Proven experience building and deploying agentic AI systems in production (not just prototypes)
  • Strong Python engineering skills, with a focus on clean, tested, maintainable code
  • Hands-on experience designing RAG pipelines (chunking, embeddings, retrieval, evaluation)
  • Experience working with at least one vector database in a production setting
  • Practical experience with LLM evaluation techniques (e.g. automated evals, LLM-as-a-Judge, or similar)
  • Familiarity with agent frameworks (e.g. LangChain, LangGraph, CrewAI, AutoGen), with good judgement on when to use them
  • Solid understanding of LLM fundamentals, including prompting, tool use, structured outputs, and context management
  • Experience working with cloud platforms (GCP preferred; AWS or Azure also considered)
Desirable:
  • Experience with Google Agent Development Kit (ADK) or Vertex AI Agent Builder
  • Understanding of MCP (Model Context Protocol) and agent-to-agent communication patterns
  • Experience with knowledge graphs or graph databases (e.g. Neo4j, JanusGraph)
  • Familiarity with LLMOps and observability tools (e.g. LangSmith, Langfuse)
  • Experience building solutions in regulated or enterprise environments
  • Background in BPO, AP automation, or document processing workflows
What’s in it for you?

We offer a competitive salary, bonus & benefits

The base salary range is $95,000 - $135,000 based on the level of experience

  • Comprehensive benefit plans (medical/dental/vision) starting on day 1
  • 401(k) with 100% match up to 10% of base salary in the form of Company Stock (LBTYK series)
  • Discretionary Bonus Incentive (annually)
  • Discretionary Equity Grants (annually)
  • Paid time off
  • Access to a private café, fitness centre, and paid parking
  • Liberty Global participates in the E-Verify program
Who we are:

Liberty Blume, a Liberty Global company, is a rapidly growing business services provider, specialising in tech-enabled back-office solutions. Our mission is to deliver efficiency, scale and value to our customers through Business, Procurement and Financial Solutions. If you're curious, customer centric and enjoy being one step ahead, join us on our scale up journey and unlock your freedom to grow!

Liberty Global is an equal opportunity employer, committed to an inclusive environment and accommodating all candidates. We're eager to hear from you, no matter your background. Our growth is creating great opportunities! Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it!

We're on a mission to redefine global business services with our tech-enabled solutions, that deliver efficiency, scale and value for our customers. With over 20 years of experience, our team of passionate specialists have perfected an approach that deals with the demands of today and the markets of the future, so our customers stay one step ahead and unlock the freedom to grow. We leverage technology expertise and global perspective, to challenge conventional thinking, transform operational efficiency, and eliminate administrative complexity.

Privacy Policy

The data included in the candidate account (eg. your name, e-mail address and CV; hereafter collectively "your data") will be processed by Liberty Blume as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Blume plc and/or its majority owned subsidiaries (collectively, the "Liberty Blume", "we" or "us") and third party organizations providing recruitment, selection, placement and employment services. Such third parties will use candidate information only in connection with such services, and applicable law. Your data will be retained for the period of up to 1 year after closing the selection process, after which it will be deleted. You have: the right to access your data or ask for a copy of the personal data that we hold about you and, if such personal data is inaccurate or incomplete, to request the rectification, erasure or blocking of such personal data. You have the right to object to the processing; and the right to lodge a complaint at a supervisory authority or a court of law in accordance with applicable laws. If you wish to exercise your privacy rights or if you have any questions about our use of your data or about your privacy rights please contact: Peopleservices@Libertyblume.com

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