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Java Ai Developer Jobs in Livermore, CA (NOW HIRING)

Tenex.AI Inc

Principal AI Engineer

San Jose, CA · On-site +1

Company Overview TENEX is an AI-native, automation-first, built-for-scale Managed Detection and ... Java). * Deep knowledge of LLM architecture, prompt engineering, and Vector database workflows.

Capital One

Lead AI Engineer (AI Foundations)

San Jose, CA · On-site

$120K - $158K/yr

At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

Capital One

Lead AI Engineer (AI Foundations)

San Jose, CA · On-site

$120K - $158K/yr

At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

Capital One

Lead AI Engineer (AI Foundations)

San Jose, CA · On-site

$120K - $158K/yr

At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

eFulgent

Software Engineer (Java + GenAI)

San Jose, CA · On-site

$60.75 - $83.25/hr

... Java - Proficiency in Python - Hands-on experience with Generative AI, including: - Retrieval-Augmented Generation (RAG) - Vector databases - Prompt engineering - Large Language Models (LLMs ...

Capital One

Distinguished AI Engineer

San Jose, CA · On-site

At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

Capital One

Lead AI Engineer

San Jose, CA

$120K - $158K/yr

At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

Capital One

Lead AI Engineer

San Jose, CA

$120K - $158K/yr

At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

Capital One

Distinguished AI Engineer

San Jose, CA · On-site

At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

Capital One

Lead AI Engineer

San Jose, CA · On-site

$120K - $158K/yr

At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

Capital One

Lead AI Engineer

San Jose, CA · On-site

$120K - $158K/yr

At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

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How much do java ai developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for java ai developer in Livermore, CA is $66.51, according to ZipRecruiter salary data. Most workers in this role earn between $57.50 and $74.42 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Java AI Developer?

To thrive as a Java AI Developer, you need strong proficiency in Java programming, machine learning concepts, and a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or Deeplearning4j), version control systems like Git, and experience with cloud platforms are typically required. Creative problem-solving, strong analytical thinking, and effective communication skills help developers collaborate and innovate in complex AI projects. These skills ensure the delivery of efficient, scalable AI solutions and foster productive teamwork in fast-evolving tech environments.

What are some common challenges faced by Java AI Developers when integrating machine learning models into existing enterprise systems?

One of the main challenges Java AI Developers encounter is ensuring seamless integration of machine learning models—often built with Python-based frameworks—into Java-based enterprise environments. This can involve using APIs, microservices, or platforms like TensorFlow Java and Deeplearning4j to bridge compatibility gaps. Additionally, developers must optimize model performance for scalability and real-time inference, which requires thorough testing and tuning. Effective collaboration with data scientists and DevOps teams is crucial to address deployment issues and maintain model accuracy in production.

What is a Java AI Developer?

A Java AI Developer is a software professional who designs, develops, and implements artificial intelligence solutions using the Java programming language. They build machine learning models, integrate AI features into applications, and work with frameworks and libraries suited for AI development in Java. Their role often involves data processing, algorithm development, and deploying scalable AI-powered applications. Java AI Developers may work in various industries such as finance, healthcare, or technology to create intelligent systems that help solve complex business problems.
What job categories do people searching Java Ai Developer jobs in Livermore, CA look for? The top searched job categories for Java Ai Developer jobs in Livermore, CA are:
What cities near Livermore, CA are hiring for Java Ai Developer jobs? Cities near Livermore, CA with the most Java Ai Developer job openings:
Java Ai Developer jobs near you

Principal AI Engineer

Tenex.AI Inc

San Jose, CA • On-site, Remote

Full-time

Re-posted 28 days ago

Job description

Company Overview
TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.
We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you'll play a meaningful role in defining and building our culture. Get in on the ground floor. We're a small but well-funded team that just raised a substantial round - joining now comes with limited risk and unlimited upside.
As a Principal AI Engineer at TENEX, you will be a key technical leader responsible for designing, developing, and optimizing scalable, high-performance AI systems. You will play a crucial role in shaping the architecture of our AI-driven cybersecurity solutions while mentoring engineering teams and driving technical innovation.
Culture is one of the most important things at TENEX.AI-explore our culture deck at culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work.
Location: This role will require Monday - Thursday onsite in any of our locations. WFH Friday.
Job Responsibilities
  • Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows.
  • Develop and productionize large-scale LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of security events.
  • Own evaluation & reliability-from prompt libraries and fine tuning to red-team testing, latency budgets, and fallback strategies.
  • Mentor & grow a cohort of AI engineers; run design reviews, uphold code quality, and instill a security-first mindset.
  • Partner tightly with Product, Detection Engineering, and Customer Success to translate real-world attacker behavior into robust ML and rule-based detections.
  • Push the frontier-experiment with retrieval-augmented generation, tool-calling agents, and multi-modal models (text + logs + graphs) to keep defenders decisively ahead.

Required Skills & Qualifications
  • Software Engineering & Architecture Expertise
    • 10+ years of experience in software development, engineering production systems using modern programming languages (Python, Go, Rust, or Java).
    • Deep knowledge of LLM architecture, prompt engineering, and Vector database workflows.
    • Hands-on experience building agents, orchestration frameworks (LangChain/LangGraph, Agno AGI, or custom), and evaluation harnesses.
    • Deep understanding of microservices architecture, containerization (Docker, Kubernetes), and event-driven systems.
    • Strong fundamentals in API design (REST/gRPC) and distributed systems.
    • Clear, concise communication skills and a bias for collaborative problem-solving.
  • Nice-to-have
    • Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR).
    • Experience with graph databases or security-focused knowledge graphs.
    • Familiarity with cloud infrastructure security (AWS, GCP, or Azure).
    • Background leading teams in high-growth startups or enterprise SaaS.
  • Soft Skills
    • Strong problem-solving and analytical skills.
    • Excellent communication and leadership abilities.
    • Ability to mentor and influence engineering teams.
    • Passion for cybersecurity and automation.

Education & Certifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Relevant certifications (AWS/GCP Professional Engineer, Kubernetes, or security-related credentials) are a plus.
Why Join Us?
  • Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions.
  • Collaborate with a talented and innovative team focused on continuously improving security operations.
  • Competitive salary and benefits package.
  • A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.

If you're passionate about combining cybersecurity expertise with artificial intelligence and have experience with Google SecOps and Chronicle, we encourage you to apply!

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