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Llama Ai Jobs (NOW HIRING)

Meta

Partner Engineer, Generative AI

Menlo Park, CA · On-site

$149K/yr

Understand Meta's AI, Llama architecture, frameworks, products and their underlying implementation * Define and execute on a strategy to drive adoption of Llama and other Meta's AI/ML platform ...

Meta

Partner Engineer, Generative AI

Menlo Park, CA

$149K/yr

Understand Meta's AI, Llama architecture, frameworks, products and their underlying implementation * Define and execute on a strategy to drive adoption of Llama and other Meta's AI/ML platform ...

Meta

Partner Engineer, Generative AI

Menlo Park, CA · On-site

$149K - $210K/yr

In this role, you will engage with strategic partner companies and work closely with our Llama engineering and AI research teams. You will also represent Meta at developer conferences and events. You ...

Meta

Partner Engineer, Generative AI

Menlo Park, CA · On-site

$149K - $210K/yr

In this role, you will engage with strategic partner companies and work closely with our Llama engineering and AI research teams. You will also represent Meta at developer conferences and events. You ...

Northern Base

AI Tech Lead

Owings Mills, MD · On-site

AI Tech Lead Location: Owings Mills, MD (Onsite) Employment Type: Full-Time Visa Type: Not ... Experience working with Snowflake hosted LLM Model Garden (Claude, Llama, OpenAI, Mistral, Arctic ...

Spark Tek Inc

AI Engineet

San Jose, CA · On-site

$134K - $161K/yr

LangChain, LangGraph, LangSmith for building and evaluating AI workflows. • Experiment with LLMs such as GPT-4+, Gemini, LLaMA, and others for various use cases. • Apply design patterns in AI and ...

Northern Base

AI Engineer

Santa Clara, CA · On-site

Experience optimizing AI workflows across multiple LLM models including GPT, Claude, Llama, or similar models. * Ability to guide engineering teams and establish AI development best practices.

eTeam

AI Lead/Architect

Chicago, IL · On-site

$57 - $78/hr

Job Summary : eTeam is looking for an AI Lead/Architect to drive the development of advanced AI ... Llama 3) using Databricks Model Serving; optimize latency, throughput, and cost. • Design ...

Right Skale, Inc.

AI Software Engineer

Design, develop, and deploy AI/ML-driven applications and services. * Build and maintain scalable ... Leverage tools like Llama Parser to build and optimize ML pipelines and applications. * Contribute ...

Digital Links Inc

Java AI/LLM

Glen Lyn, VA · Remote

$52.25 - $67.50/hr

AI/LLM - hugging face model, OLAMA, LLAMA, Mistral * Agentic AI, Open AI, Gemini * Fine tuning of LLM * Lang chain, Lang flow, FAISS, vector database, Cosine similarity search. * Python programing ...

Damco Solutions

Agentic AI Developer

Plainsboro, NJ · On-site

... frameworks like LLama. • Drive model training and evaluation pipelines--curating data, testing hypotheses, and refining outputs iteratively. • Deploy AI models and systems in production ...

NFI Industries

Principal Software Engineer

Trenton, NJ · On-site

$118K - $141K/yr

... Llama.ai, NextMV, Gains, Sophus, Starboard, Optilogic, or TMOD. • Experience working in Agile/Scrum environments • Experience with Go/Golang • Experience with ML Algorithms, Optimization ...

eTeam

Generative AI Developer

Denver, CO · On-site

Job Summary : eTeam is a company looking for a Generative AI Developer. The role involves strong ... LLaMA • Hugging Face • RAG systems and vector databases • Pinecone • FAISS • MLOps ...

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Llama Ai information

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How much do llama ai jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for llama ai in the United States is $17.36, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.43 per hour, depending on experience, location, and employer.

What is a llama ai?

Llama AI jobs typically refer to roles that involve working with Meta's Llama (Large Language Model Meta AI) models. These positions may include tasks such as training, deploying, fine-tuning, or integrating the Llama AI language models into applications. Professionals in these roles may work as machine learning engineers, data scientists, AI researchers, or software developers. Llama AI jobs require knowledge of natural language processing, machine learning frameworks, and programming languages such as Python. These roles are found in tech companies, research institutions, and organizations seeking to leverage advanced AI for various applications.

What are the key skills and qualifications needed to thrive as an AI engineer working with Llama AI?

To thrive as an AI Engineer specializing in Llama AI, you need a solid background in computer science, machine learning, and natural language processing, often with a relevant degree and experience in AI model development. Familiarity with frameworks like PyTorch or TensorFlow, experience deploying large language models, and knowledge of cloud platforms such as AWS or Azure are typically required. Strong problem-solving, communication, and collaboration skills help you work effectively in cross-functional teams and adapt to evolving AI technologies. These skills are crucial for building, fine-tuning, and deploying advanced AI models that deliver accurate and scalable solutions.

What are some common challenges faced by AI engineers working with large language models like Llama AI, and how can they be addressed?

AI engineers working with large language models such as Llama AI often encounter challenges related to optimizing model performance, managing substantial computational resources, and ensuring ethical use of the technology. Balancing model accuracy with efficiency requires thoughtful tuning and experimentation, while working in cross-functional teams helps address issues such as bias and responsible deployment. Staying updated with the latest research, leveraging cloud-based solutions, and fostering open communication with stakeholders are key strategies for overcoming these challenges.

What is the difference between Llama Ai vs Data Scientist?

AspectLlama AiData Scientist
Required CredentialsKnowledge of AI models, programming skills, possibly certifications in AI or machine learningDegree in Computer Science, Statistics, or related field; often certifications in data analysis or machine learning
Work EnvironmentTech companies, AI startups, research labs; often collaborative and fast-pacedCorporate, research institutions, consulting firms; analytical and project-based
Industry UsageAI development, machine learning applications, NLP projectsData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

While Llama Ai focuses on developing and implementing AI models like Llama, Data Scientists analyze data to generate insights and build predictive models. Both roles require programming skills and familiarity with machine learning, but Llama Ai is more specialized in AI model creation, whereas Data Scientists work across broader data analysis tasks.

What is the easiest Llama AI job to get into?

Entry-level roles related to Llama AI often include positions such as data annotator, labeler, or junior AI researcher, which typically require basic understanding of machine learning concepts and some familiarity with AI tools. These roles usually have minimal experience requirements and may involve tasks like data labeling or model testing, making them accessible for beginners in AI development.
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Llama Ai jobs near you
Infographic showing various Llama Ai job openings in the United States as of August 2026, with employment types broken down into 33% Internship, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $36,099 per year, or $17.4 per hour.

Partner Engineer, Generative AI

Menlo Park, CA • On-site

Meta
Internet and IT • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

People enjoy working here

Good employer

Recommended by students

Learn more about Metaexternal

$149K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Meta is seeking a Partner Engineer to join Meta’s AI Partner Engineering team, a technical team that works with strategic partners, machine learning organizations across the industry and all major cloud service providers for building and launching new Generative AI product services and experiences, and taking Large Language Models (LLMs) from research to production. In this role, you will engage with strategic partner companies and work closely with our Llama engineering and AI research teams. You will also represent Meta at developer conferences and events. You will be required to develop technical accelerators, case studies, white papers, blogs, reference architectures, and/or presentations to evangelize Meta’s AI design patterns and best practices.
Partner Engineer, Generative AI Responsibilities:
  • Apply relevant AI and machine learning techniques to build and launch generative AI solutions using Meta’s Llama and other state of the art LLMs
  • Understand Meta’s AI, Llama architecture, frameworks, products and their underlying implementation
  • Define and execute on a strategy to drive adoption of Llama and other Meta’s AI/ML platform offerings
  • Work closely with cloud providers (e.g. AWS, Azure, GCP) and Meta’s strategic partners on deep learning & Llama integrations
  • Serve as a technical point of contact for partners and internal teams at Meta, providing guidance on AI architecture and integration patterns
  • Evangelize Llama & Gen AI services and share best practices through forums such as medium blogs, whitepapers, reference architectures and public engagement events
  • Develop reference architectures, samples and other materials to share with the broader Meta developer community
  • Work with key partners and Llama developer community to optimize existing generative AI models for improved performance, scalability, and efficiency
  • Lead technical strategy and roadmap for long-term strategic partners with high level of autonomy to own and navigate long-term technical relationships with partners
  • Proactively communicate feedback, updates, status to direct team as well as relevant cross-functional teams
  • Create clear and concise documentation, including technical specifications, best practices guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders internally and externally

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 2+ years of experience as a software engineer, technical consultant or partner/sales engineer
  • 2+ years of experience in one or more of the following areas: Deep Learning, LLMs, NLP, Speech, Conversational AI, AI infrastructure, Fine-tuning and optimizations of PyTorch models
  • Software development experience in languages like Python, Java, Go, Rust, C/C++. (at least one)
  • Experience with at least one LLM such as Llama, GPT, Claude, Falcon, etc
  • Experience with at least one deep learning framework such as PyTorch and/or JAX
  • Experience communicating and presenting to technical and business audiences

Preferred Qualifications:
  • (Nice to have) Knowledge of Mobile/IoT for deploying ML models at the edge is a plus
  • Experience building Deep Learning, Gen AI - Computer Vision or Natural Language Processing models using the frameworks
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • (Nice to have) Experience of launching a product / service or application into market is a plus
  • Data science background and experience manipulating/transforming data, model selection, model training, model optimization and deployment at scale
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • (Nice to have) Contributed to an Open Source project, submitted PRs for features/ fixed bugs and/or created sample applications in OSS or participated in Kaggle competitions
  • Experience working with internal and external partners
  • Solid understanding of at least one Deep Learning framework (PyTorch, Tensorflow, Jax)
  • Experience influencing technical and business stakeholders through presentations, written proposals, and partner engagements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience applying relevant AI and machine learning techniques to build production solutions
  • Experience deploying production-grade machine learning solutions on public cloud platforms (like AWS)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$149,000/year to $210,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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