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Full Time Llm Engineer Jobs (NOW HIRING)

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA · On-site

$143K - $186K/yr

Proficiency in C/C++ programming, familiar with at least one commonly used LLM inference engines ... The US base salary range for this full-time position is $143,200.00 - $186,000.00. * Within the ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA

$143K - $186K/yr

Proficiency in C/C++ programming, familiar with at least one commonly used LLM inference engines ... The US base salary range for this full-time position is $143,200.00 - $186,000.00. * Within the ...

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Full Time Llm Engineer information

What are the key skills and qualifications needed to thrive as a Full Time LLM Engineer, and why are they important?

To thrive as a Full Time LLM Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree and experience with large language models. Familiarity with frameworks such as PyTorch or TensorFlow, version control systems like Git, and experience deploying models using cloud platforms or MLOps tools are typically required. Strong problem-solving, collaboration, and communication skills help you work effectively within cross-functional teams and adapt to evolving technologies. These skills ensure the design, optimization, and deployment of robust language models that meet real-world application needs.

What are some common challenges faced by Full Time LLM Engineers when deploying large language models in production environments?

Full Time LLM Engineers often encounter challenges related to optimizing model performance, managing infrastructure costs, and ensuring reliable scaling in production. Handling inference speed and latency is critical, especially when integrating with real-time applications. Additionally, monitoring model behavior for biases, drift, and security vulnerabilities requires ongoing collaboration with data scientists and operations teams. Staying updated on the latest advancements and tools in the LLM landscape is essential for maintaining effective and efficient deployments.

What are Full Time LLM Engineers?

Full Time LLM Engineers are professionals who specialize in developing, fine-tuning, and deploying large language models (LLMs) like GPT, BERT, or similar AI models. They work with machine learning frameworks, manage data pipelines, and optimize model performance for various applications such as chatbots, content generation, and natural language processing tasks. These engineers often collaborate with data scientists, product teams, and software engineers to integrate LLMs into products and services. Their responsibilities may also include monitoring model outputs, ensuring ethical AI use, and staying updated with advancements in the field.

What is the difference between Full Time Llm Engineer vs Machine Learning Engineer?

AspectFull Time Llm EngineerMachine Learning Engineer
Required CredentialsAdvanced degree in law, computer science, or related fields; knowledge of legal data and NLPDegree in computer science, data science, or related fields; expertise in algorithms and data modeling
Work EnvironmentLegal tech companies, AI firms focusing on legal applications, research institutionsTech companies, startups, research labs working on AI and data-driven solutions
Employer & Industry UsageLegal industry, AI legal tools, compliance firmsTechnology industry, AI product development, data-driven applications

While both roles involve AI and data, a Full Time Llm Engineer specializes in legal language models and legal data, whereas a Machine Learning Engineer works broadly across various AI applications and industries. The Llm Engineer focuses on legal-specific NLP tasks, requiring legal knowledge combined with AI skills, while the Machine Learning Engineer has a broader scope in AI development across sectors.

More about Full Time Llm Engineer jobs
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What are the most commonly searched types of Llm Engineer jobs? The most popular types of Llm Engineer jobs are:
What states have the most Full Time Llm Engineer jobs? States with the most job openings for Full Time Llm Engineer jobs include:
What job categories do people searching Full Time Llm Engineer jobs look for? The top searched job categories for Full Time Llm Engineer jobs are:
Full Time Llm Engineer jobs near you
Infographic showing various Full Time Llm Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
10x Java Developer/AI Engineer

10x Java Developer/AI Engineer

Fiserv, Inc.

Berkeley Heights, NJ • On-site

$54 - $74/hr

Full-time

Posted 23 days ago

Fiserv rating

7.6

Company rating: 7.6 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

110th of 150 rated financial services

Job description

Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
10x Java Developer/AI Engineer
About your role:
As a 10x Java Developer/AI Engineer you will be an elite software builder who delivers high-scale, enterprise-ready systems at exceptional speed. This role is for a highly productive engineer who multiplies their individual output by integrating advanced Generative AI and Large Language Model (LLM) developer tools into their daily workflow. Far beyond writing standard application code, this builder builds production-grade Minimum Viable Products (MVPs), designs intelligent agentic workflows, and architectures scalable backend software that leverages LLMs directly to solve complex business problems.
You will have a proven track record of shipping actual production-scale products, moving rapidly past localized sandboxes or basic code prototypes, as well as an exceptional builder mindset focused on hyper-efficiency, continuous tooling experimentation, and engineering velocity.
What you'll do:
  • High-Velocity MVP Delivery: Move rapidly from design concepts to writing production-ready code. Ship fully realized, resilient enterprise applications with speed and autonomy.
  • AI-Assisted Engineering: Seamlessly embed GenAI assistants into daily workflows to drastically accelerate code writing, refactoring, test generation, and deep debugging.
  • LLM & AI Application Building: Design, implement, and deploy application layers that integrate LLMs, retrieval-augmented generation (RAG) pipelines, and intelligent agentic workflows.
  • Enterprise Java Engineering: Architect and write clean, maintainable, and high-performance Java code capable of processing concurrent, enterprise-scale workloads.
  • CI/CD & Cloud Automation: Build and manage automated pipelines to package, test, and deploy applications continuously to cloud ecosystems.
  • Architecture & Database Integration: Model secure, low-latency relational and non-relational database layers optimized for rapid application execution.
  • Performance Tuning & Diagnostics: Conduct deep-dive profiling, memory leak detection, and technical troubleshooting on high-throughput backend services.

Experience you'll need to have:
  • 8-10+ years in professional software engineering, with a strong focus on core backend Java platforms.
  • Execution: A proven track record of shipping actual production-scale products, moving rapidly past localized sandboxes or basic code prototypes.
  • Automation & Testing: Expert proficiency in writing automated unit, integration, and performance tests (e.g., JUnit, Mockito, Testcontainers).
  • Mindset: An exceptional builder mindset focused on hyper-efficiency, continuous tooling experimentation, and engineering velocity.
  • Advanced, hands-on engineering using Java 17+ or Java 21+ features (e.g., Virtual Threads, Pattern Matching).
  • Deep expertise with Spring Boot, Quarkus, or Micronaut frameworks for building cloud-native microservices.
  • Developer Velocity: Demonstrated mastery using GenAI developer assistants (e.g., GitHub Copilot, Claude Code, etc.) to achieve "10x" development, documentation, and unit test coverage.
  • LLM Engineering: Hands-on integration with LLM APIs (OpenAI, Anthropic, or Amazon Bedrock) and vector databases.
  • AI Frameworks: Building RAG and agent patterns using orchestration toolkits like Spring AI.
  • Data Layers: Practical experience with PostgreSQL, NoSQL stores, and connection optimization.
  • Streaming/Messaging: Experience with high-throughput message brokers like Apache Kafka or AWS SQS/SNS.
  • Deployment: Familiarity with Docker, Kubernetes, and major cloud environments preferably AWS.
  • Bachelor's degree in Computer Science, Information Technology, Information Systems, or a related field (or equivalent industry experience).

Experience that would be great to have:
  • Experience in fintech/payments domains.

Important information about this role:
  • This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.
  • You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.
  • This is a full-time, direct-hire position, and no contract options for unsolicited agency submissions will be considered.
  • All offers of employment are contingent on standard background checks. Fiserv and certain of its affiliated companies are federal, state, and/or local government contractors. Should this position support a Federal Government contract, now or in the future, the successful candidate will be subject to a background check conducted by the U.S. Government to determine eligibility and suitability for federal contract employment for public trust or sensitive positions. Positions that support state and/or local contracts also may require additional background checks to determine eligibility and suitability.

#LI-MK1
Salary Range
$110,000.00 - $186,000.00
These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company's sole discretion.
Thank you for considering employment with Fiserv. Please:
  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv's Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

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