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Ai Engineer Jobs (NOW HIRING)

Avathon

AI Engineer

Pleasanton, CA · On-site

As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable AI systems with a strong focus on Generative AI, Large Language Models (LLMs), and production-grade ...

LawPro.ai

Role Description We are looking for an experienced AI Engineer to own the evaluation, selection, and continuous optimization of the large language models and AI processes that power LawPro.ai's data ...

Netherlands

WI · On-site

Are you a versatile AI engineer who sees technology as a means to solve real business problems--not just as an end in itself? Do you enjoy challenging assumptions, uncovering the true needs behind a ...

Avathon

AI Engineer

Pleasanton, CA

As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable AI systems with a strong focus on Generative AI, Large Language Models (LLMs), and production-grade ...

Northern Base

AI Engineer

Santa Clara, CA · On-site

AI Engineer Location: Santa Clara, CA (Onsite) Employment Type: Full-Time Visa Type: Not Specified Must-Have Qualifications: * 5+ years of experience in Artificial Intelligence / Machine Learning ...

LawPro.ai

WI · On-site

Role Description We are looking for an experienced AI Engineer to own the evaluation, selection, and continuous optimization of the large language models and AI processes that power LawPro.ai's data ...

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 for developing and deploying multimodal foundation models that power autonomous teams of robots. Your ...

GDIT

AI ENGINEER

Annapolis Junction, MD · Hybrid

Yes AI ENGINEER *** Up to 3 Days per week telework! *** Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges as an AI Engineer. MEANINGFUL WORK AND ...

LawPro.ai

OH · On-site

Role Description We are looking for an experienced AI Engineer to own the evaluation, selection, and continuous optimization of the large language models and AI processes that power LawPro.ai's data ...

LawPro.ai

AI Engineer - VA

Virginia, MN · On-site

Role Description We are looking for an experienced AI Engineer to own the evaluation, selection, and continuous optimization of the large language models and AI processes that power LawPro.ai's data ...

Protingent

AI Engineer

Santa Clara, CA · On-site

$55 - $63/hr

AI Engineer Position Description : Protingent Staffing has an exciting contract AI Engineer with our client that is fully remote. Job Responsibilities: * Design and develop AI agents, workflows, and ...

Kanak Elite Services Inc

AI Engineer

Malvern, PA · On-site

AI Engineer Location : Malvern PA Hybrid Duration : Long term contract Responsibilities * Design, develop, and deploy GenAI solutions on platforms like Amazon bedrock and Amazon Q Business. * Build ...

Beyond SOF

AI Engineer

Washington, DC · On-site +1

The AI Engineer is responsible for developing and implementing artificial intelligence solutions to solve complex problems. Main Responsibilities and duties: Develop and implement artificial ...

Billables Incorporated

AI Engineer

San Francisco, CA · On-site

AI Engineer Location: San Francisco (Hybrid - in-office 3+ days/week in downtown SF) About Billables AI Billables AI is building the AI‑powered operating layer for professional service firms, and ...

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 is seeking a Senior AI Engineer specializing in Agentic AI to join their Enterprise Data & AI ...

NinjaTech AI

Applied AI Engineer

San Francisco, CA · On-site

$80K - $120K/yr

The Applied AI Engineer is how a signed contract becomes a renewed and expanded one. What you'll own * Land the deployment. Embed with a newly-closed enterprise customer, rapidly learn their ...

Northern Base

AI Engineer

Sunrise, FL · On-site

Role: AI Engineer Location: Sunrise, FL / Phoenix, AZ (Onsite) Employment Type: Full-Time Visa Type: USC / GC / GC EAD Only Experience: 8-12 Years Must-Have Skills: * 8+ years of experience in AI ...

New

CoreStory

AI Engineer

We're looking for an AI Engineer who is passionate about building intelligent systems that blend large language models, retrieval architectures, and conversational agents into cohesive, scalable ...

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 exclusively retained by a high-growth technology startup to appoint a mission-critical AI Engineer to ...

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How much do ai engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for ai engineer 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 does an AI engineer do?

An AI Engineer develops, implements, and optimizes artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, data pipelines, and large datasets to deploy AI-driven solutions. Their responsibilities often include programming, data preprocessing, model training, and integrating AI into applications. AI Engineers collaborate with data scientists and software engineers to build intelligent systems for businesses across various industries.

What are some common challenges faced by AI engineers in their day-to-day work?

AI Engineers often encounter challenges such as handling large and complex datasets, optimizing and debugging machine learning models, and ensuring their algorithms scale efficiently in production environments. Balancing innovation with real-world constraints—such as limited computational resources or data privacy concerns—is also a frequent aspect of the role. Additionally, working closely with data scientists, software developers, and stakeholders requires clear communication and adaptability. These challenges make the role dynamic and offer many opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive in the AI engineer position, and why are they important?

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning, usually backed by a relevant degree or equivalent experience. Proficiency with programming languages such as Python, TensorFlow, PyTorch, and tools like cloud platforms or version control systems is essential. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills for working in interdisciplinary teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive business and technological innovation.

What are the jobs of an AI engineer?

An AI engineer develops, tests, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data analysis tools, often programming in languages like Python or TensorFlow. Their responsibilities include designing AI systems, optimizing performance, and ensuring integration with existing software infrastructure.
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Ai Engineer jobs near you
Infographic showing various Ai Engineer job openings in the United States as of September 2026, with employment types broken down into 7% Internship, 53% Full Time, and 40% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

AI Engineer

Pleasanton, CA • On-site

Avathon
11 - 50 employees
Learn more about Avathonexternal

Full-time

Medical, Retirement

Re-posted 16 days ago

Job description

Who We Are & Why Join Us
Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.
Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.
Learn more at: avathon.com
About the Role
Senior AI Engineer - Generative AI & LLMs
At Avathon, we are building cutting-edge AI solutions that transform operations across asset-intensive industries such as Supply Chain, Logistics, Energy, Mining, Aerospace, and Industrial Manufacturing. As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable AI systems with a strong focus on Generative AI, Large Language Models (LLMs), and production-grade machine learning applications.
This role is ideal for someone with strong engineering depth who can bridge research and production-building robust AI platforms, optimizing LLM workflows, and delivering high-impact solutions across forecasting, route optimization, anomaly detection, predictive maintenance, and intelligent automation.
With 3-5 years of hands-on industry experience, you are expected to bring expertise in AI system design, ML engineering, LLM deployment, and scalable software development within fast-paced startup environments.
You Will
  • Design, build, and deploy production-grade AI/ML systems with strong emphasis on Generative AI and LLM-powered applications
  • Develop and optimize end-to-end LLM pipelines including RAG architectures, fine-tuning, prompt orchestration, evaluation, and observability
  • Build scalable backend services and APIs for AI applications using modern engineering best practices
  • Implement and productionize transformer-based models and GenAI workflows for enterprise use cases
  • Design vector search systems, embedding pipelines, and retrieval frameworks for knowledge-intensive applications
  • Partner closely with Product, Engineering, and Business teams to translate operational challenges into scalable AI solutions
  • Drive experimentation, benchmarking, model evaluation, and performance optimization with scientific rigor
  • Improve inference efficiency, latency optimization, cost management, and reliability of deployed AI systems
  • Establish guardrails, hallucination detection, monitoring, and responsible AI practices for production deployments
  • Contribute to MLOps workflows including CI/CD, model lifecycle management, observability, and cloud deployment
  • Stay current with the latest advancements in LLMs, agentic systems, foundation models, and applied AI engineering
You'll Have
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field
  • 3-5 years of hands-on industry experience in AI Engineering, Machine Learning Engineering, Applied AI, or related roles
  • Strong experience building and deploying LLM-based applications in production environments
  • Solid expertise with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar
  • Strong understanding of transformer architectures, LLM fine-tuning, prompt engineering, RAG systems, and vector databases
  • Experience building scalable APIs and backend systems supporting AI workflows
  • Familiarity with cloud platforms such as AWS, GCP, or Azure
  • Strong software engineering fundamentals including system design, debugging, performance optimization, and production reliability
  • Experience with containerization, deployment pipelines, and collaborative engineering environments
  • Strong analytical thinking, ownership mindset, and ability to work in ambiguous, fast-moving startup environments
  • Strong communication skills and ability to work cross-functionally with technical and business stakeholder
Preferred Qualifications
  • Exposure to Retrieval-Augmented Generation (RAG), vector databases, or embedding-based search systems
  • Familiarity with LLM observability and evaluation tools (e.g., Langfuse, LangSmith, Arize Phoenix, Weights & Biases)
  • Hands-on experience with practical LLM deployment -- prompt versioning, cost/latency tracking, guardrails, or hallucination detection
  • Exposure to LLM evaluation frameworks (e.g., RAGAS, DeepEval) or LLM-as-judge evaluation patterns
  • Basic understanding of MLOps practices and model lifecycle management
  • Experience working on applied AI projects in academic, internship, or startup settings
  • Interest in industrial AI and asset-intensive environments
  • Industry exposure in one or more of the following domains: Mining, Oil & Gas, Aerospace, Supply Chain, Logistics, or Renewable Energy
Interview Process
As part of the interview process, you will be asked to complete a technical assessment.
Benefits & Perks
What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!
  • Evolving culture with the opportunity to drive new ideas and technology
  • Stock Option Grants
  • Medical Coverage and Parental Leave Plans
  • 401k with Employer Match
  • Monthly Technology Allowance
  • Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.
Compensation
Pay Range: $110k - $130k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.
Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.

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