88 Generative AI jobs in Pakistan

Tkxel is a leading softwaredevelopment company located in Reston, Virginia. We are committedto develop innovative software solutions for leading enterprisesin the world, helping them grow their businesses using latesttechnology solutions. Job Description

We are seeking a Generative AI Engineer to lead the design, development, and deployment of agentic, multi-step AI systems. You will build robust, scalable pipelines powered by LLMs, multi-agent architectures, MCP interoperability, advanced data processing, and best-in-class engineering practices. The ideal candidate excels in Python development, systems design, and delivering solutions through the full software lifecycle.

Core Responsibilities

Architect and implement multi-agent workflows using LangChain, LangGraph, AutoGen, CrewAI, Google ADK, CAMEL, Swarm, and OpenAI Agents SDK to orchestrate task decomposition, memory, tool use, and agent coordination.

Engineer workflows that use MCP for context-sharing and standardized communication among agents and with external systems (SQL, file systems, tools).

Agent Framework Development

Design abstracted agent frameworks supporting planning, reasoning, retries, orchestration, and observability.

Develop ETL pipelines for ingestion, transformation, storage, and embedding generation using Airflow, Prefect, Spark, Hadoop, and vector databases (FAISS, Pinecone, Weaviate).

LLM Fine‑Tuning & RAG Architecture

Fine‑tune GPT, LLaMA, Claude, Mistral models with efficient methods; build retrieval‑augmented systems using vector DBs and knowledge graphs.

Integrate text, image, audio, OCR, and structured data (via CLIP, Whisper, TTS/STT); expose capabilities through REST/GraphQL APIs and microservices.

Follow core Python engineering practices—OOP, async, unit testing, packaging. Containerize with Docker and deploy on Kubernetes or serverless infra.

Ethics, Security & Performance Optimization

Integrate bias detection, explainability, privacy safeguards (prompt injection mitigation), and optimize performance and cost.

Requirements

Education:

BSc or MSc in Computer Science, Engineering, Data Science, or equivalent.

Technical Skills:

Python: Advanced proficiency in OOP, async programming, packaging, testing.

LLM Frameworks: Hugging Face Transformers, PyTorch, TensorFlow.

Agent Frameworks: Experience with LangChain, LangGraph, AutoGen, CrewAI, ADK.

Protocols: Deep understanding of MCP, A2A, and agent interoperability.

Cloud & Containerization: Experience with AWS, GCP, Azure, Docker, Kubernetes.

RAG Systems: Expertise in FAISS, Pinecone, ChromaDB, Weaviate, and knowledge graphs.

Software Quality & Architecture: Strong foundations in system design, scalability, security, and CI/CD best practices.

Deep familiarity with prompt engineering, decision chaining, and tool integrations.

Background in reinforcement learning, planning, or control-loop architectures.

Soft Skills:

Excellent communication and collaboration across multidisciplinary teams.

Analytical mindset with strong debugging and iterative development approach.

Agile-oriented: rapid experimentation, evaluation, and adaptation.

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Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Royal Cyber Inc. Talent Acquisition Executive @ Royal Cyber Inc. | MS in Human Resource Management

We are seeking a highly skilled AWS AI Engineer to join our advanced cloud and AI engineering team. The ideal candidate will have experience implementing and fine-tuning large-scale AI models, designing agent-based systems, and integrating AWS-native services for scalable and reliable AI-powered solutions. Experience Required : 4+ years Location:

Lahore, Karachi, Islamabad (Hybrid) Timings:

02pm to 11pm PKT (Mon-Fri) Key Responsibilities: Implement and fine-tune foundation and domain-specific models (e.g., GPT, Llama, Claude, Mistral) using industry-standard frameworks. Optimize model performance for accuracy, latency, and cost-efficiency. Apply techniques to mitigate AI hallucinations and ensure model trustworthiness. Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and knowledge graphs to enhance contextual accuracy. Cloud-Based AI Services (AWS & OpenAI) Utilize services like AWS Bedrock, Amazon SageMaker, Amazon Rekognition, Amazon Kendra, OpenAI APIs, for AI model training, deployment, and inferencing. Leverage Amazon Athena, Redshift, Glue, and OpenSearch for scalable data ingestion and processing. Multi-Agent System Design Design and implement multi-agent workflows using Lang Chain, LangGraph, Crew AI, AutoGen, and OpenAI Agents SDK. Manage agent memory, tool usage, and coordination to orchestrate complex workflows. Model Context Protocol (MCP) & Agent Frameworks Develop agent frameworks incorporating planning, retries, reasoning, orchestration, and observability. Implement MCP-based context sharing between agents and external systems (e.g., SQL, file systems, APIs). Multimodal AI & System Integration Work with multimodal AI models for text, image, audio, OCR, and structured data using technologies like, Whisper, TTS/STT (Nova Sonic). Expose AI capabilities through RESTful and GraphQL APIs and integrate with microservices architectures. Prompt Engineering & Continuous Innovation Apply advanced prompt engineering techniques to refine model output and behavior. Stay up to date on AI/ML advancements and proactively introduce emerging technologies and tools. Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 4+ years of hands-on experience in AI/ML solution development. Strong proficiency in Python; familiarity with ML frameworks like TensorFlow, Pytorch, or Keras. Proven experience with AWS AI & data services (Bedrock, SageMaker, Rekognition, Athena, Redshift, Glue, OpenSearch). Deep understanding of LLMs, transformers, RNNs, CNNs, and associated training/fine-tuning techniques. Experience with Lang Chain, LangGraph, Crew AI, or similar agentic frameworks. Working knowledge of vector search engines (pgvector, Pinecone, FAISS). Experience with data preprocessing, feature engineering, and model evaluation. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Royal Cyber Inc. by 2x Sign in to set job alerts for “Generative AI Engineer” roles.

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Tkxel

is a leading softwaredevelopment company located in Reston, Virginia. We are committedto develop innovative software solutions for leading enterprisesin the world, helping them grow their businesses using latesttechnology solutions.

Job Description

We are seeking a Generative AI Engineer

to lead the design, development, and deployment of agentic, multi-step AI systems. You will build robust, scalable pipelines powered by LLMs, multi-agent architectures, MCP interoperability, advanced data processing, and best-in-class engineering practices. The ideal candidate excels in Python development, systems design, and delivering solutions through the full software lifecycle.

Core Responsibilities Architect and implement multi-agent workflows using LangChain, LangGraph, AutoGen, CrewAI, Google ADK, CAMEL, Swarm, and OpenAI Agents SDK to orchestrate task decomposition, memory, tool use, and agent coordination.

Engineer workflows that use MCP for context-sharing and standardized communication among agents and with external systems (SQL, file systems, tools).

Agent Framework Development

Design abstracted agent frameworks supporting planning, reasoning, retries, orchestration, and observability.

Develop ETL pipelines for ingestion, transformation, storage, and embedding generation using Airflow, Prefect, Spark, Hadoop, and vector databases (FAISS, Pinecone, Weaviate).

LLM Fine‑Tuning & RAG Architecture

Fine‑tune GPT, LLaMA, Claude, Mistral models with efficient methods; build retrieval‑augmented systems using vector DBs and knowledge graphs.

Integrate text, image, audio, OCR, and structured data (via CLIP, Whisper, TTS/STT); expose capabilities through REST/GraphQL APIs and microservices.

Follow core Python engineering practices—OOP, async, unit testing, packaging. Containerize with Docker and deploy on Kubernetes or serverless infra.

Ethics, Security & Performance Optimization

Integrate bias detection, explainability, privacy safeguards (prompt injection mitigation), and optimize performance and cost.

Requirements

Education:

BSc or MSc in Computer Science, Engineering, Data Science, or equivalent.

Technical Skills:

Python:

Advanced proficiency in OOP, async programming, packaging, testing.

LLM Frameworks:

Hugging Face Transformers, PyTorch, TensorFlow.

Agent Frameworks:

Experience with LangChain, LangGraph, AutoGen, CrewAI, ADK.

Protocols:

Deep understanding of MCP, A2A, and agent interoperability.

Cloud & Containerization:

Experience with AWS, GCP, Azure, Docker, Kubernetes.

RAG Systems:

Expertise in FAISS, Pinecone, ChromaDB, Weaviate, and knowledge graphs.

Software Quality & Architecture:

Strong foundations in system design, scalability, security, and CI/CD best practices.

Deep familiarity

with prompt engineering, decision chaining, and tool integrations.

Background in

reinforcement learning, planning, or control-loop architectures.

Soft Skills:

Excellent communication and collaboration across multidisciplinary teams.

Analytical mindset with strong debugging and iterative development approach.

Agile-oriented: rapid experimentation, evaluation, and adaptation.

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Join to apply for the Senior Generative AI Engineer role at Ähdus Technology GmbH

Join to apply for the Senior Generative AI Engineer role at Ähdus Technology GmbH

Get AI-powered advice on this job and more exclusive features.

Job Title: Senior Generative AI Engineer

Location: Bahria Town, Phase 7, Rawalpindi

Employment Type: Full-Time

About the Role:

We are looking for a Senior Generative AI Engineer to lead the design and development of cutting-edge generative AI systems that produce human-like content such as text, images, code, and audio. You will play a key role in building and deploying large-scale models (e.g., LLMs, diffusion models), optimizing performance, and integrating them into real-world applications.

Key Responsibilities:

• Design and implement generative AI models (e.g., GPT, Stable Diffusion, VAEs, GANs) for various use cases.
• Fine-tune and optimize large language models (LLMs) using techniques like LoRA, PEFT, or RLHF.
• Collaborate with product and research teams to turn ideas into working AI-powered features.
• Develop scalable training and inference pipelines using modern ML infrastructure.
• Analyze model outputs for quality, bias, and safety, and implement necessary safeguards.
• Stay up to date with the latest research in generative AI and apply state-of-the-art techniques.
• Lead and mentor junior engineers and contribute to architectural decisions.
  
  
  

Requirements:

• Master’s or PhD in Computer Science, Machine Learning, AI, or related field.
• 4+ years of hands-on experience in machine learning, with at least 2 years in generative models.
• Deep understanding of transformer architectures, diffusion models, embeddings, and prompt engineering.
• Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
• Experience with model deployment, optimization (e.g., quantization, distillation), and cloud AI tools.
• Familiarity with data curation, synthetic data generation, and ethical considerations in generative AI.
• Excellent communication skills and ability to work cross-functionally.
  
  
  

Nice to Have:

• Experience with OpenAI, Hugging Face, or similar platforms.
• Contributions to generative AI research or open-source projects.
• Experience with multimodal models (text+image, text+audio, etc.).

Seniority level

• Seniority level Not Applicable

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting

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Join to apply for the

Senior Generative AI Engineer

role at

Ähdus Technology GmbH Join to apply for the

Senior Generative AI Engineer

role at

Ähdus Technology GmbH Get AI-powered advice on this job and more exclusive features. Job Title:

Senior Generative AI Engineer

Location:

Bahria Town, Phase 7, Rawalpindi

Employment Type:

Full-Time

About the Role:

We are looking for a

Senior Generative AI Engineer

to lead the design and development of cutting-edge generative AI systems that produce human-like content such as text, images, code, and audio. You will play a key role in building and deploying large-scale models (e.g., LLMs, diffusion models), optimizing performance, and integrating them into real-world applications.

Key Responsibilities:

Design and implement generative AI models (e.g., GPT, Stable Diffusion, VAEs, GANs) for various use cases. Fine-tune and optimize large language models (LLMs) using techniques like LoRA, PEFT, or RLHF. Collaborate with product and research teams to turn ideas into working AI-powered features. Develop scalable training and inference pipelines using modern ML infrastructure. Analyze model outputs for quality, bias, and safety, and implement necessary safeguards. Stay up to date with the latest research in generative AI and apply state-of-the-art techniques. Lead and mentor junior engineers and contribute to architectural decisions.

Requirements:

Master’s or PhD in Computer Science, Machine Learning, AI, or related field. 4+ years of hands-on experience in machine learning, with at least 2 years in generative models. Deep understanding of transformer architectures, diffusion models, embeddings, and prompt engineering. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow. Experience with model deployment, optimization (e.g., quantization, distillation), and cloud AI tools. Familiarity with data curation, synthetic data generation, and ethical considerations in generative AI. Excellent communication skills and ability to work cross-functionally.

Nice to Have:

Experience with OpenAI, Hugging Face, or similar platforms. Contributions to generative AI research or open-source projects. Experience with multimodal models (text+image, text+audio, etc.).

Seniority level

Seniority level Not Applicable Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Ähdus Technology GmbH by 2x Sign in to set job alerts for “Generative AI Engineer” roles.

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Full Stack + AI Developer | Generative AI & Web Applications Full Stack + AI Developer | Generative AI & Web Applications

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from AIOBC

Technical Co-Founder/CEO | AI Engineer | Leveraging Generative AI and Deep Learning to Transform Industries

We are looking for a highly skilled Full Stack + AI Developer to join our growing team. This is an exciting opportunity for someone who has expertise not only in building scalable full-stack applications but also in developing and deploying cutting-edge AI solutions, particularly in Generative AI .

Responsibilities:

• Design, develop, and maintain full-stack applications (front-end & back-end).
• Build and integrate AI-powered features into existing and new products.
• Work with Generative AI models (LLMs, diffusion models, multimodal AI) for real-world applications.
• Develop APIs and pipelines for AI model integration and deployment.
• Collaborate with product, design, and engineering teams to deliver high-quality solutions.
• Optimize application performance, scalability, and security.

Full Stack Development

• Experience with Python (FastAPI / Django / Flask) for backend services
• Cloud deployment (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

AI & Generative AI

• Solid understanding of LLMs (OpenAI, LLaMA, Mistral, etc.)
• Experience with LangChain, RAG pipelines, vector databases (Pinecone, Weaviate, FAISS, etc.)
• Knowledge of prompt engineering, fine-tuning, embeddings, and model deployment
• Familiarity with image/video generation models (Stable Diffusion, MidJourney APIs, DALL·E)
• Ability to integrate AI into production-level full-stack applications

We are looking for a highly skilled Full Stack + AI Developer to join our growing team. This is an exciting opportunity for someone who has expertise not only in building scalable full-stack applications but also in developing and deploying cutting-edge AI solutions, particularly in Generative AI .

Responsibilities:

• Design, develop, and maintain full-stack applications (front-end & back-end).
• Build and integrate AI-powered features into existing and new products.
• Work with Generative AI models (LLMs, diffusion models, multimodal AI) for real-world applications.
• Develop APIs and pipelines for AI model integration and deployment.
• Collaborate with product, design, and engineering teams to deliver high-quality solutions.
• Optimize application performance, scalability, and security.

Required Skills & Experience:

Full Stack Development

• Strong knowledge of JavaScript/TypeScript, React.js/Next.js, Node.js, Express.js
• Experience with Python (FastAPI / Django / Flask) for backend services
• Database expertise: SQL (Postgres/MySQL) & NoSQL (MongoDB, Redis)
• Cloud deployment (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

AI & Generative AI

• Solid understanding of LLMs (OpenAI, LLaMA, Mistral, etc.)
• Experience with LangChain, RAG pipelines, vector databases (Pinecone, Weaviate, FAISS, etc.)
• Knowledge of prompt engineering, fine-tuning, embeddings, and model deployment
• Familiarity with image/video generation models (Stable Diffusion, MidJourney APIs, DALL·E)
• Ability to integrate AI into production-level full-stack applications

Nice to Have:

• Experience with MERN stack SaaS platforms
• Knowledge of DevOps pipelines & CI/CD
• Understanding of MLOps and model optimization
• Prior experience working on chatbots, voicebots, or AI-driven automation

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries IT System Custom Software Development

Referrals increase your chances of interviewing at AIOBC by 2x

Get notified about new Full Stack Engineer jobs in Pakistan .

Intermediate Full-Stack Software Developer Full Stack Engineer- Node.js, React,js and Firebase

Pakistan $28,000.00-$5,500.00 1 month ago

Frontend Engineer II (with Webflow expertise) Full Stack Engineer (Node/Python and React) Full Stack Developer (React.js & Node.js)

Pakistan 60,000.00- 120,000.00 1 month ago

Full Stack Engineer (MERN Stack) Pakistan Senior/Staff Software Engineer - Pakistan

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Full Stack + AI Developer | Generative AI & Web Applications

Full Stack + AI Developer | Generative AI & Web Applications

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from AIOBC Technical Co-Founder/CEO | AI Engineer | Leveraging Generative AI and Deep Learning to Transform Industries

We are looking for a highly skilled

Full Stack + AI Developer

to join our growing team. This is an exciting opportunity for someone who has expertise not only in building scalable full-stack applications but also in developing and deploying cutting-edge AI solutions, particularly in

Generative AI . Responsibilities:

Design, develop, and maintain full-stack applications (front-end & back-end). Build and integrate AI-powered features into existing and new products. Work with

Generative AI models

(LLMs, diffusion models, multimodal AI) for real-world applications. Develop APIs and pipelines for AI model integration and deployment. Collaborate with product, design, and engineering teams to deliver high-quality solutions. Optimize application performance, scalability, and security. Full Stack Development Experience with

Python (FastAPI / Django / Flask)

for backend services Cloud deployment (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) AI & Generative AI Solid understanding of

LLMs (OpenAI, LLaMA, Mistral, etc.) Experience with

LangChain, RAG pipelines, vector databases (Pinecone, Weaviate, FAISS, etc.) Knowledge of

prompt engineering, fine-tuning, embeddings, and model deployment Familiarity with

image/video generation models (Stable Diffusion, MidJourney APIs, DALL·E) Ability to integrate AI into production-level full-stack applications We are looking for a highly skilled

Full Stack + AI Developer

to join our growing team. This is an exciting opportunity for someone who has expertise not only in building scalable full-stack applications but also in developing and deploying cutting-edge AI solutions, particularly in

Generative AI . Responsibilities:

Design, develop, and maintain full-stack applications (front-end & back-end). Build and integrate AI-powered features into existing and new products. Work with

Generative AI models

(LLMs, diffusion models, multimodal AI) for real-world applications. Develop APIs and pipelines for AI model integration and deployment. Collaborate with product, design, and engineering teams to deliver high-quality solutions. Optimize application performance, scalability, and security. Required Skills & Experience:

Full Stack Development Strong knowledge of

JavaScript/TypeScript, React.js/Next.js, Node.js, Express.js Experience with

Python (FastAPI / Django / Flask)

for backend services Database expertise:

SQL (Postgres/MySQL) & NoSQL (MongoDB, Redis) Cloud deployment (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) AI & Generative AI Solid understanding of

LLMs (OpenAI, LLaMA, Mistral, etc.) Experience with

LangChain, RAG pipelines, vector databases (Pinecone, Weaviate, FAISS, etc.) Knowledge of

prompt engineering, fine-tuning, embeddings, and model deployment Familiarity with

image/video generation models (Stable Diffusion, MidJourney APIs, DALL·E) Ability to integrate AI into production-level full-stack applications Nice to Have:

Experience with

MERN stack SaaS platforms Knowledge of

DevOps pipelines & CI/CD Understanding of

MLOps and model optimization Prior experience working on

chatbots, voicebots, or AI-driven automation Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries IT System Custom Software Development Referrals increase your chances of interviewing at AIOBC by 2x Get notified about new Full Stack Engineer jobs in

Pakistan . Intermediate Full-Stack Software Developer

Full Stack Engineer- Node.js, React,js and Firebase

Pakistan $28,000.00-$5,500.00 1 month ago Frontend Engineer II (with Webflow expertise)

Full Stack Engineer (Node/Python and React)

Full Stack Developer (React.js & Node.js)

Pakistan 60,000.00- 120,000.00 1 month ago Full Stack Engineer (MERN Stack) Pakistan

Senior/Staff Software Engineer - Pakistan

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Job Description
Translation Empire PK is hiring an AI Research Scientist to conduct cutting-edge research in artificial intelligence and drive innovation. You’ll design new algorithms, publish findings, and prototype solutions for complex problems.

Key Responsibilities:

• Conduct applied and theoretical research in AI.
• Prototype and test new algorithms.
• Publish research and present findings internally.
• Collaborate on transitioning research into production.
• Contribute to the strategic direction of AI R&D.

Qualification and Experience:

• PhD in AI, ML, Computer Science, or related field.
• Strong publication record in AI conferences/journals.
• Deep expertise in ML, DL, and advanced math/stats.
• Familiarity with scientific programming and simulation tools.

Certification:
Not mandatory.

Work mode:
Work from Office.

Location:
DHA 1 Sector F Rwp.

Salary:
Market Competitive.

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Join to apply for the AI Research Engineer role at Tether.io

Join to apply for the AI Research Engineer role at Tether.io

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing.

Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job:

As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.

You will have a deep expertise in LLM architectures, a strong grasp of pre-training optimization with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of AI performance.

Responsibilities :

• Conduct pre-training AI models on large, distributed servers equipped with thousands of NVIDIA GPUs.
• Design, prototype, and scale innovative architectures to enhance model intelligence.
• Independently and collaboratively execute experiments, analyze results, and refine methodologies for optimal performance.
• Investigate, debug, and improve both model efficiency and computational performance.
• Contribute to the advancement of training systems to ensure seamless scalability and efficiency on target platforms.
• A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
• Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
• Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
• Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
• Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.

Seniority level

• Seniority level Not Applicable

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries Technology, Information and Internet

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Sign in to set job alerts for “Artificial Intelligence Engineer” roles. Agentic AI Engineer – Custom GPTs & AI Agents Software Engineer - Supplier/Data Experience Senior Machine Learning Engineer (Personalization) Senior AI Engineer, LearnWith.AI (Remote) - $200,000/year USD

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