Hire LLM Engineer | Free LLM Engineer Job Description Template

The field of large language models (LLMs) is at the forefront of artificial intelligence, revolutionizing how machines understand and generate human language. As businesses increasingly rely on AI-driven solutions, the demand for skilled LLM developers has skyrocketed, making it one of the most sought-after roles in the tech industry today.

LLM developers are responsible for creating and fine-tuning models that can perform a wide range of language tasks, from translation and sentiment analysis to content generation and conversational agents. Their expertise in natural language processing and deep learning is crucial for building systems that can understand and produce human-like text with high accuracy.

The rapid advancements in AI technology have led to the emergence of sophisticated language models like GPT-3 and BERT, which are capable of performing complex tasks with minimal human intervention. This has opened up new opportunities for LLM developers to innovate and push the boundaries of what's possible in AI-driven language processing.

As organizations across various sectors adopt AI to enhance their operations, the role of an LLM developer becomes integral to ensuring the successful implementation of these technologies. Companies are actively seeking talented individuals who can leverage their skills to develop robust language models that deliver tangible business value.

With a competitive job market and the potential for impactful work, a career as an LLM developer offers not only attractive financial rewards but also the chance to be at the cutting edge of AI research and development. This role is perfect for those passionate about language technology and eager to contribute to the next wave of AI innovation.

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LLM Engineer Job Description Template

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Job Description:

As a Mid-Level LLM Engineer, you will play a pivotal role in developing and optimizing medium-sized features within our cutting-edge language model applications. You will own the end-to-end delivery of these features, from conception to production, ensuring they align with product goals and user needs. Success in this role means delivering robust and scalable features that enhance our product suite, collaborating effectively with cross-functional teams, and maintaining a keen eye on performance and reliability.

In this role, you will collaborate closely with product managers, designers, and backend engineers to translate business requirements into technical specifications. You will be expected to apply your expertise in LLMs to drive innovation and improve existing functionalities. Your work will have a direct impact on the user experience, and you will be responsible for monitoring and optimizing features post-launch to ensure they meet performance benchmarks and user satisfaction metrics.

Tech Stack:

Framework/UI: Angular for developing dynamic user interfaces that interact seamlessly with our LLM services.
Language: TypeScript for writing clean, maintainable code that leverages modern JavaScript features.
State and data: RxJS and NgRx for managing complex state and ensuring data consistency across the application.
Styling/design system: SCSS and Tailwind CSS for implementing responsive and visually appealing designs.
API integration: RESTful and GraphQL APIs for efficient data retrieval and manipulation, ensuring smooth communication between frontend and backend.
Testing: Jasmine and Karma for unit and integration testing to maintain high code quality and reliability.
Build and deployment: Webpack and Docker for efficient build processes and containerized deployments.
Observability: New Relic and Sentry for monitoring application performance and quickly identifying issues in production.
Collaboration/platform: GitHub for version control and collaborative development workflows.

How We Work:

Squad delivery: We operate in small, agile squads that focus on delivering specific product features and enhancements.
Product/design/backend collaboration: Regular syncs with product managers and designers ensure alignment on feature requirements and design specifications.
Code reviews: Peer reviews are conducted for all code changes to maintain high standards and facilitate knowledge sharing.
Release cadence: We follow a bi-weekly release cycle, ensuring timely delivery of new features and improvements.
Documentation: Comprehensive documentation is maintained for all features to support ongoing development and onboarding of new team members.
QA partnership: Close collaboration with QA engineers ensures thorough testing and quality assurance before deployment.
Production monitoring: Continuous monitoring of live features allows us to quickly address any issues and optimize performance.
Technical decision-making: Engineers are encouraged to participate in technical discussions and contribute to decision-making processes.

Job Responsibilities:

Develop and optimize medium-sized features within our LLM applications, ensuring they meet product and user requirements.
Integrate APIs to facilitate seamless communication between the frontend and backend services.
Manage state efficiently using RxJS and NgRx to ensure data consistency and responsiveness.
Conduct thorough testing using Jasmine and Karma to ensure high-quality and reliable code.
Optimize performance by identifying bottlenecks and implementing improvements to enhance application speed and efficiency.
Ensure accessibility by adhering to best practices and guidelines, making our applications usable for all users.
Debug production issues quickly and effectively, minimizing downtime and maintaining user satisfaction.
Document features and technical specifications to support ongoing development and team collaboration.
Participate in code reviews to maintain code quality and share knowledge with peers.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Monitor feature performance post-launch and implement optimizations as needed.
Contribute to technical discussions and decision-making processes to drive innovation and improvement.

Required Skills:

3+ years of professional experience with at least 2 years focused on developing and optimizing LLMs in production environments.
Proficiency in TypeScript and a strong understanding of modern JavaScript features and best practices.
Experience in debugging complex applications and resolving production issues efficiently.
Strong testing skills with experience in unit and integration testing frameworks such as Jasmine and Karma.
Proficient in Git for version control and collaborative development workflows.
Experience with API integration using RESTful and GraphQL APIs.
Awareness of performance optimization techniques to enhance application speed and efficiency.
Ability to estimate and plan development tasks effectively, ensuring timely delivery.
Strong communication skills to collaborate effectively with cross-functional teams and stakeholders.

Nice to Have:

Advanced framework experience: Familiarity with other modern frontend frameworks such as React or Vue.js.
Design systems knowledge: Experience with implementing and maintaining design systems for consistent UI/UX.
Visual regression testing: Experience with tools like Percy or Chromatic for automated visual testing.
Accessibility expertise: In-depth knowledge of WCAG guidelines and best practices for inclusive design.
Internationalization (i18n): Experience with implementing multilingual support in applications.
Cloud/CDN exposure: Familiarity with cloud services and content delivery networks to enhance application performance.
Regulated industry experience: Experience working in industries with strict compliance requirements, such as healthcare or finance.
Analytics and experimentation: Experience with A/B testing and analytics tools to drive data-driven decisions.

Interview Process:

Initial Screening (30 minutes): A conversation with a recruiter to discuss your background, experience, and interest in the LLM Engineer role.
Technical Assessment (1 hour): A practical coding exercise focused on LLM-related tasks to evaluate your problem-solving and technical skills.
Technical Interview (1.5 hours): A deep dive into your technical expertise, focusing on LLM implementation, debugging, and optimization strategies.
Team Interview (1 hour): Meet with potential team members to assess cultural fit and discuss collaboration and communication styles.
Final Interview (1 hour): A discussion with senior leadership to evaluate your alignment with company values and long-term goals.

Perks and Benefits:

Competitive compensation: A salary package that reflects your skills and experience in the LLM field.
Comprehensive healthcare: Medical, dental, and vision insurance to keep you and your family healthy.
Generous PTO: Ample paid time off to recharge and maintain work-life balance.
Learning budget: Funding for courses, conferences, and certifications to support your professional growth.
Remote/hybrid support: Flexible work arrangements to accommodate your lifestyle and productivity preferences.
State-of-the-art equipment: High-quality hardware and software to ensure you can perform at your best.
Retirement plan: 401(k) with company matching to secure your financial future.
Career progression opportunities: Clear pathways for advancement within the company.
Engineering culture: A supportive and innovative environment that encourages experimentation and learning.
Wellness programs: Access to mental health resources and wellness initiatives to support your overall well-being.

Salary Expectations:

The salary range for a Mid-Level LLM Engineer in 2026 is expected to be between $110,000 and $140,000 USD annually. This range may vary depending on factors such as location, company size, industry, and the candidate's specific skills and experience. Additional compensation may include bonuses, equity options, and benefits, which can further influence the total compensation package. Remote or hybrid work arrangements may also impact salary expectations.

About the Author

Andrei Daniel P., developer — Profile photo of Andrei Daniel P.

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By Andrei Daniel P.
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10 years of experience

My name is Andrei Daniel P. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: API Development, Custom PHP, Laravel, Application Performance Monitoring Software, New Relic, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Reggio Emilia real estate portal for listings valuations, and ads, Italian site for fast access to local government services and payments, Production ready Docker Compose stack for Laravel with Traefik, Monitoring and Observability setup and maintenance for Saas project, Monitoring and Observability setup and maintenance for Saas project, etc.. I am based in Rio Saliceto, Italy. I've successfully completed 15 projects while developing at Softaims.

I possess comprehensive technical expertise across the entire solution lifecycle, from user interfaces and information management to system architecture and deployment pipelines. This end-to-end perspective allows me to build solutions that are harmonious and efficient across all functional layers.

I excel at managing technical health and ensuring that every component of the system adheres to the highest standards of performance and security. Working at Softaims, I ensure that integration is seamless and the overall architecture is sound and well-defined.

My commitment is to taking full ownership of project delivery, moving quickly and decisively to resolve issues and deliver high-quality features that meet or exceed the client's commercial objectives.

Skills:

Previously worked at:Reply S.p.A.

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LLM JavaScript PythonData ScrapingAutomationChatGPTReactArtificial IntelligenceFull-Stack DevelopmentMinimum Viable ProductAI Agent DevelopmentRetrieval Augmented GenerationGenerative AILarge Language ModelVector Databasen8nData EngineeringData Science Data Analysis React Native Nextjs FullstackWindsurfFirebase StudioRocket New

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LLM Engineer Job Description Template

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LLM Engineer Job Description Template

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Interview Process:

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