5 Llama2 Jobs

You are a highly skilled and motivated AI Tech Lead sought by Rakuten, a global internet service company offering a wide range of services to approximately 1.4 billion customers worldwide. Your primary responsibility will be to develop and scale next-generation AI-driven platforms, particularly e-commerce catalog systems, by integrating cutting-edge AI technologies such as Large Language Models (LLMs). To excel in this role, you should possess a strong background in backend engineering, Artificial Intelligence (AI), Data Science, and Machine Learning (ML), with a focus on designing, developing, and deploying end-to-end ML pipelines and AI-driven solutions. This position requires a combination of technical leadership, backend development, and AI/ML expertise to create data-intensive solutions for various business use cases. As the AI Tech Lead, your key responsibilities will include: Leading the design, development, and deployment of scalable, production-grade platforms for AI-driven applications, particularly e-commerce catalog operations. Defining architectural standards for backend systems to ensure scalability, fault tolerance, and maintainability. Providing mentorship to the engineering team to foster technical excellence and best practices. Driving cross-functional collaboration to align technical solutions with business objectives. Designing and implementing solutions utilizing Large Language Models (LLMs) such as OpenAI GPT APIs, LLAMA2/LLAMA3, or similar frameworks. Fine-tuning and optimizing LLMs for performance, accuracy, and relevance in applications like conversational AI, catalog optimization, and personalization. Building and maintaining Retrieval-Augmented Generation (RAG) systems and vectorized databases for enhanced AI capabilities. Collaborating with data science teams to deploy AI/ML models for predictive analytics, intent classification, Named Entity Recognition (NER), and other NLP tasks. Developing and maintaining robust backend systems using Java, Python, and frameworks like Spring Boot, FastAPI, Django, and Flask. Creating APIs and microservices to handle high volumes of data in real-time with low latency. Optimizing platform performance to support large-scale catalogs and global user traffic. Ensuring high availability and fault tolerance for critical operations. Working with data engineers to design and optimize data pipelines, ensuring the availability and quality of training datasets. Developing scalable systems to process and store large volumes of data using big data technologies like Hadoop, Spark, or Kafka. Leveraging advanced tools like MLflow, Prefect, and AWS Sagemaker for efficient model training, deployment, and monitoring. Deploying and managing backend services and ML models on cloud platforms like AWS, GCP, or Azure. Setting up and optimizing CI/CD pipelines for seamless deployments and updates. Monitoring system and model performance to ensure smooth operations and rapid troubleshooting. Utilizing containerization tools like Docker and Kubernetes for scalable deployments. Partnering with product management, business development, and engineering teams to define platform requirements and AI/ML solutions. Communicating complex technical concepts to non-technical stakeholders effectively. Staying updated on industry trends in AI, ML, and backend development to drive innovation. To qualify for this role, you should have: Minimum 8 years of experience in backend development, with expertise in Java, Python, Spring Boot, microservices, and RESTful APIs. Experience in designing and scaling production-grade platforms for high-volume applications. Proficiency in integrating LLMs like OpenAI GPT, LLAMA2/LLAMA3, and frameworks such as Hugging Face Transformers. Hands-on experience with TensorFlow, PyTorch, or similar tools. Strong knowledge of big data technologies like Hadoop, Spark, or Kafka. Familiarity with RAG systems, vectorized databases, and retrieval-based AI. Proven experience with cloud platforms (AWS, Azure, GCP) and containerization tools like Docker and Kubernetes. Expertise in CI/CD pipelines and system monitoring.,

Senior GenAI & Agentic AI Expert (Architect) Relocation to Abu Dhabi, UAE Location: Abu Dhabi Client: Abu Dhabi Government About The Role Our client, a global consulting firm with distributed teams across the US, Canada, UAE, India, and PK, is hiring a high-caliber Senior Generative AI Expert with proven hands-on experience in building Agentic AI applications . This role is ideal for someone who has a total of 12 to 20+ years of software engineering and AI/ML experience and is now focused on autonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks . Key Responsibilities Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar) Architect and implement multi-agent systems for enterprise-grade solutions Integrate AI agents with APIs, databases, internal tools, and external SaaS products Lead and mentor a cross-functional team across global time zones Optimize performance, context retention, tool usage, and cost efficiency Build reusable pipelines and modules to support GenAI use cases at scale Ensure enterprise-grade security, privacy, and compliance standards in deployments Collaborate directly with clients and senior stakeholders Ideal Candidate Profile 10 to 15+ years of professional experience in software engineering and AI/ML 3+ years of practical experience in LLM-based application development Strong track record of delivering Agentic AI systems (not just chatbot interfaces) Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel OpenAI, Claude, Gemini, Mistral, or Llama2 Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.) Prompt engineering, RAG, memory/context management Serverless, Python, Node.js, AWS/GCP/Azure cloud Experience leading engineering teams and working with enterprise clients Excellent communication, documentation, and stakeholder management skills Must be open to relocation to UAE Why Join Work on UAE Government project(s) Lead cutting-edge Agentic AI projects at enterprise scale Collaborate with senior teams across US, Canada, UAE, India, and PK Competitive compensation + long-term career roadmap Skills: memory/context management,apis integration,enterprise-grade security,crewai,saas products integration,aws,semantic kernel,prompt engineering,openai,node.js,multi-agent systems,azure,databases integration,gemini,cost efficiency,embedding models,rag,autogpt,performance optimization,llm frameworks,agentic ai,generative ai,langchain,gcp,python,vector databases Show more Show less

As a Senior AI Developer/ AI Architect in the AI team, you will have the opportunity to collaborate with and mentor a team of developers. Your primary focus will be on the Fusion AI Team and its AI engine AI Talos, where you will work with Large language models, simulations, and Agentic AI to deliver cutting-edge AI capabilities in the service management space. Your responsibilities will include developing intricate python-based AI code to ensure the successful delivery of advanced AI functionalities. Additionally, you will play a crucial role in team mentoring, guiding junior/mid-level developers in managing their workload efficiently and ensuring tasks are completed according to the product roadmap. Innovation will be a key aspect of your role, where you will lead the team in staying updated on the latest AI trends, especially focusing on large language models and simulations. Furthermore, you will be responsible for software delivery to customers while adhering to standard security practices. To qualify for this role, you should possess a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Being Agile trained and practiced is also essential for this position. The ideal candidate will have at least 7 years of experience in developing AI/Data Science solutions, with a senior level of involvement. Proficiency in Python and its libraries such as Pydantic, Pytorch, Pyarrow, Scikit, Hugging Face, and Pandas is required. Extensive knowledge of AI models and usage, including Llama2, Mistral AI, training models for classification, and RAG architecture, is necessary. Experience as a full-stack developer and familiarity with tools like GitHub, Jira, Docker, as well as GPU-based services architecture and setup, are advantageous. In terms of competencies, strong interpersonal and communication skills are essential. You will collaborate with teams across the business to create end-to-end high-value use cases and effectively communicate with senior management regarding requirement deadlines. Your excellent collaboration and leadership skills will ensure that the team remains motivated and is working efficiently towards set targets. If you are ready to take on this challenging role and contribute to the advancement of AI technologies, we encourage you to apply now at Future@fusiongbs.com.,

We are seeking a talented and enthusiastic AI Engineer to be a part of our team. As an AI Engineer, you will be responsible for the design, development, and deployment of AI models and algorithms to address intricate challenges and drive business value. The ideal candidate will possess a solid foundation in machine learning, deep learning, and data science, coupled with exceptional programming abilities. Your main responsibilities will include designing, developing, and implementing AI models and algorithms to solve real-world issues. You will collaborate with diverse teams to comprehend business requirements and transform them into technical solutions. Data analysis and preprocessing will be crucial to ensure high-quality input for AI models. Furthermore, you will be involved in training, testing, and validating AI models to guarantee accuracy and performance, along with deploying these models into production environments and monitoring their performance. Continuous enhancement of AI models by integrating new data and feedback will also be part of your role. It is essential to stay updated with the latest advancements in AI and machine learning technologies. Documenting AI models, processes, and outcomes for knowledge sharing and future reference will be necessary. Additionally, participation in code reviews and providing constructive feedback to peers will be expected. The ideal candidate should have prior experience as an AI Engineer, Machine Learning Engineer, or a similar role. Proficiency in machine learning algorithms, deep learning frameworks, statistical methods, and programming languages like Python, R, or Java is required. Familiarity with LLMs such as GPT-4, Llama-2, NLP, RAG, data preprocessing, feature engineering, and data visualization techniques is essential. Experience with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, vector databases such as Pinecone and ChromaDB, cloud platforms like AWS, Google Cloud, Azure, and version control systems like Git is preferred. Strong problem-solving skills, attention to detail, excellent communication, and collaboration skills are also vital. The ideal candidate should have 2-6 years of experience and a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, or a related field.,

About Apexon: Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. We enable #HumanFirstDigital Job Description We are seeking a highly skilled and motivated Software Developer with a strong background in Python to join our team. The ideal candidate will have a passion for developing automation tools to streamline our operations and reduce repetitive tasks. Additionally, the candidate will have the opportunity to contribute to our Gen AI projects, making this a great opportunity for those interested in the AI field. Responsibilities Candidate should have a minimum of 6+ years overall Experience Relevant should be at least 3- 5 years with lead exp Design, develop, and implement AI applications using Python or C#. Work on Gen AI projects and develop tools that help the organization in reducing repetitive jobs. Collaborate with cross-functional teams to define, design, test and ship new features. Conduct regular testing of systems and software to ensure optimal functioning. Troubleshoot and resolve issues and defects in AI applications. Stay updated with the latest industry trends and technologies to ensure applications are current. Provide technical guidance and coaching to developers and engineers. Skills Proven experience as an AI Developer or similar role. Proficiency in Python Good understanding multiple of Gen AI models (ChatGPT, LLAMA2, Mistral) and ability to setup up local GPTs using ollama, lm studio etc. Good understanding of RAG Multi agents frameworks to create workflows Langchain or similar tools like lamaindex, langgraph etc. Knowledge of Machine Learning frameworks, libraries, and tools. Strong understanding of algorithms and data structures. Excellent problem-solving skills and solution mindset Strong communication and teamwork skills. Ability to work independently and manage ones time effectively. Our Commitment to Diversity & Inclusion: Did you know that Apexon has been Certified™ by Great Place To Work®, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (apexon.com) Our Perks and Benefits: Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance. We also offer: Group Health Insurance covering family of 4 Term Insurance and Accident Insurance Paid Holidays & Earned Leaves Paid Parental LeaveoLearning & Career Development Employee Wellness