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Entrylevel Ai Ml Engineer Jobs (NOW HIRING)

AI/ML Engineer (Chandler, AZ): Design, build, and deploy end-to-end AI/ML systems spanning model research, engineering, and productionization. Architect and establish standards for the full ML ...

AI/ML Engineer

Huntsville, AL · On-site

$100K - $130K/yr

Koniag Government Services is seeking an AI/ML Software Engineer to join a small, high-impact AI and Automation team supporting U.S. Army mission operations. In this role, you will design, develop ...

ML Engineer-AI/ML Location: Austin, TX (Onsite) Duration: Fulltime H1B Transfer should be fine Design, develop, and deploy AI/ML models using Python, TensorFlow, and other relevant technologies. • ...

AI/ML Engineer Location: Remote Role Objective Support the implementation of artificial intelligence (AI) and machine learning (ML) technologies across various use cases defined by the client under a ...

AI/ML Engineer Starr Insurance Companies is a leading insurance and investment organization, providing commercial property and casualty insurance, including travel and accident coverage, to almost ...

Koniag Government Services is seeking an AI/ML Software Engineer to join a small, high-impact AI and Automation team supporting U.S. Army mission operations. In this role, you will design, develop ...

Koniag Government Services is seeking an AI/ML Software Engineer to join a small, high-impact AI and Automation team supporting U.S. Army mission operations. In this role, you will design, develop ...

AI/ML Engineer Location : Remote We are currently seeking candidates who meet the following qualifications. Key Responsibilities * Develop, train, and deploy machine learning and deep learning models ...

We are looking for an AI/ML Engineer who is growing strong technical depth in machine learning, experimentation, and analytical problem solving, with an interest in applying those skills to trust ...

AI ML Engineer Location: Mason, OH (Remote) Job Type: Fulltime Must Have Technical/Functional Skills * Python (Expert level) * Machine Learning & Model Training * Training, evaluation, fine tuning

Minimum of 3 years of experience in AI/ML engineering with a focus on infrastructure, MLOps, and cloud AI deployment. * Proven experience configuring and setting up ML platforms both on-premises and ...

Koniag Government Services is seeking an AI/ML Software Engineer to join a small, high-impact AI and Automation team supporting U.S. Army mission operations. In this role, you will design, develop ...

AI/ML Engineer Location: Reston VA Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training ...

AI/ML Engineer Duration: 12 months Location: Chicago, IL An AI/ML Engineer designs, develops, and deploys production-ready artificial intelligence and machine learning models and systems, managing ...

Senior AI/ML Engineer

Manhattan, NY · On-site

$115K - $157K/yr

Senior AI/ML Engineer Client: Global advertising company Location: Chicago or NYC; 3 days a week onsite. Were seeking a senior AI/ML Engineer with minimum 9-10 yrs experiencewho can serve as a ...

AI/ML Engineer Location: Reston VA - In person interviews so need Local In EAST coast only​ Core Responsibilities (AI/ML, Python, AWS, GenAI) Design and implement end-to-end AI/ML and Generative AI ...

Senior AI/ML Engineer

Chicago, IL · Hybrid

$107K - $147K/yr

Senior AI/ML Engineer Client: Global advertising company Location: Chicago or NYC; 3 days a week onsite. We're seeking a senior AI/ML Engineer with minimum 9-10 yrs experience who can serve as a ...

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Entrylevel Ai Ml Engineer information

See salary details

$33K

$89.2K

$142K

How much do entrylevel ai ml engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for entrylevel ai ml engineer in the United States is $89,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $109,000.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

For entry-level AI/ML engineers, roles such as data scientists, AI software developers, and machine learning engineers are expected to persist due to the ongoing need for designing, developing, and maintaining AI systems. These jobs require specialized skills in programming, data analysis, and understanding of AI algorithms, making them less susceptible to automation in the near term.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI or machine learning engineers working in top tech companies or specialized industries, often involving advanced skills in deep learning, data science, and cloud computing. These positions may include leadership responsibilities, extensive experience, and sometimes stock options or bonuses that contribute to total compensation. Such salaries are rare and usually reserved for highly experienced professionals in competitive markets.

How can I become an AI engineer with no experience?

To become an entry-level AI/ML engineer with no experience, focus on building foundational skills in programming languages like Python, learn key concepts in machine learning and data science, and complete online courses or certifications. Gaining hands-on experience through projects, internships, or contributing to open-source AI initiatives can also improve your prospects in this field.

What is the difference between Entrylevel Ai Ml Engineer vs Data Scientist?

AspectEntrylevel Ai Ml EngineerData Scientist
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 EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, data visualization
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions

While both roles involve working with data and machine learning, an Entrylevel Ai Ml Engineer primarily focuses on building and deploying ML models, whereas a Data Scientist emphasizes analyzing data, creating insights, and statistical modeling. The roles often overlap but differ in daily tasks and focus areas.

What engineers make $500,000?

Senior AI/ML engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can reach salaries of $500,000 or more, especially in high-cost living areas or at top tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.
More about Entrylevel Ai Ml Engineer jobs
What cities are hiring for Entrylevel Ai Ml Engineer jobs? Cities with the most Entrylevel Ai Ml Engineer job openings:
What states have the most Entrylevel Ai Ml Engineer jobs? States with the most job openings for Entrylevel Ai Ml Engineer jobs include:
Infographic showing various Entrylevel Ai Ml Engineer job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $89,183 per year, or $42.9 per hour.
AI/ML Engineer

Other

Posted 5 days ago


Job description

AI/ML Engineer

Min 5years experience is required.

Mandatory skill Kubernetes; LLMs, Python, Model Context Protocol, APIs, LangChain

Description: We are seeking an AI/ML Engineer to design and develop an intelligent chatbot AI Agent that empowers merchants to analyse sales performance and make data-driven decisions. The solution will leverage LLMs, prompt engineering, and MCP-based tools (including FastMCP) to enable natural language queries, dynamic data retrieval, and actionable insights from Sam’s Club sales data.

Responsibilities:

  • Architect, develop, and deploy a chatbot AI Agent to support merchants in analysing sales performance and decision-making.
  • Apply prompt engineering techniques to improve query handling, ensure accurate responses, and optimize LLM interactions.
  • Build AI agent workflows leveraging LangChain, LangGraph, and FastMCP for tool integration and orchestration.
  • Integrate MCP tools for dynamic data access, retrieval, and analysis.
  • Fine-tune and optimize LLMs to handle merchant-specific queries with precision and efficiency.
  • Design and implement testing strategies for AI Agents and LLM-based workflows, including evaluation of accuracy, reliability, and bias.
  • Build APIs and microservices (using FastAPI) to support chatbot functionality and data pipelines.
  • Deploy scalable solutions with Docker and Kubernetes, ensuring reliability and performance.
  • Collaborate with product managers, data scientists, and business stakeholders to align AI solutions with merchant needs.

Required Knowledge & Skills:

  • Hands-on experience with LLMs, AI Agents, Chatbots, and prompt engineering.
  • Strong understanding of testing and evaluation methods for LLM-powered agents, including prompt validation, output reliability, and user feedback loops.
  • Proficiency in LangChain and LangGraph for agentic workflows and orchestration.
  • Familiarity with FastMCP and MCP (Model Context Protocol) for tool integration.
  • Proficiency in Python for AI/ML development.
  • Experience building services with FastAPI.
  • Proficiency with Docker and Kubernetes for scalable deployments.
  • Strong problem-solving and communication skills to bridge technical solutions with merchant use cases.
  • Ability to adapt quickly, learn complex systems, and contribute effectively in a fast-paced environment.