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Llama Ai Jobs (NOW HIRING)

Qualcomm

AI Software Developer, Staff

San Diego, CA · On-site

$150 - $200/hr

Familiarity with LLMs (like Open AI models, Llama), AI agent frameworks (Semantic Kernel, LangChain, CrewAI, AutoGen (or equivalents)), and experience integrating enterprise tools via MCP.

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 ...

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 ...

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 ...

NFI Industries

Senior Software Engineer ILS

Trenton, NJ · On-site

$100K - $125K/yr

Experience with Supply Chain modeling platforms like Supply Chain Guru, Llama.ai, NextMV, Gains, Sophus, Starboard, Optilogic, or TMOD. * Experience working in Agile/Scrum environments * Experience ...

NFI Industries

Principal Software Engineer

Trenton, NJ · On-site

$130K - $160K/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 ...

ClifyX

Python AI/GenAI developer

Denver, CO · On-site

$51.75 - $71.25/hr

ClifyX is a company focused on innovative technology solutions, and they are seeking a Python AI ... Llama 3.2, vLLM (Ollama) • Working experience in vector databases like PG vector, Milvus • ...

Mosaec

NY · On-site

$150 - $200/hr

Experience with large language models (LLMs) such as GPT, Gemini, LLaMA, or similar. * Experience ... AI/ML & LLM Ecosystem * LLM orchestration frameworks: LangChain, LangGraph, LlamaIndex.

Gallatin AI, Inc.

AI Software Engineer

Austin, TX · On-site

Gallatin AI, Inc. is focused on transforming logistics infrastructure for national security ... Llama, Anthropic, Mistral), LangChain, Retrieval-Augmented Generation (RAG), Hugging Face, Exo Labs ...

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How much do llama ai jobs pay per hour?

As of Sep 7, 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 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $36,099 per year, or $17.4 per hour.

Data Scientist with GenAI - LLama

Syntricate Technologies

Dallas, TX • On-site

Full-time

Re-posted 10 days ago

Job description

Job Summary:
Syntricate Technologies is seeking a Data Scientist with expertise in Generative AI, specifically Llama. The role involves utilizing machine learning and data manipulation techniques to solve complex problems and communicate findings effectively to diverse audiences.
Responsibilities:
• Programming languages: Python (proficient) with major Client libraries
• Experience with opensource Gen AI LLMs e.g., Llama and Dolly
• Strong understanding of supervised and unsupervised learning, neural networks, transformers
• Experience with GANs, text-to-image generation, text generation models
• SQL, data cleaning, feature engineering
• Ability to identify and solve complex problems with data-driven solutions
• Effectively communicate technical concepts to diverse audiences, work with geographically distributed teams
• Innovation & creativity
• Attention to detail & accuracy
• Self-motivation & continuous learning
Qualifications:
Required:
• Experience with opensource Gen AI LLMs e.g., Llama and Dolly is mandatory for this position
• Programming languages: Python (proficient) with major Client libraries
• Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers
• Generative AI techniques: Experience with GANs, text-to-image generation, text generation models
• Data wrangling & manipulation: SQL, data cleaning, feature engineering
• Problem-solving & critical thinking: Ability to identify and solve complex problems with data-driven solutions.
• Communication & collaboration: Effectively communicate technical concepts to diverse audiences, work with geographically distributed teams.
• Innovation & creativity
• Attention to detail & accuracy.
• Self-motivation & continuous learning
Preferred:
• Hyperscalers: AWS, Azure, or GCP experience a plus
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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