7 Retrievalaugmented Generation Jobs

When you mentor and advise multiple technical teams and drive financial technologies forward, you face a significant challenge with a substantial impact. This role of a Senior Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Banking- Data Technology places you in a leadership position. Your responsibilities include providing technical coaching and advice to multiple technical teams, anticipating the needs and potential dependencies of other functions within the firm. Your expertise in the field enables you to influence budget and technical considerations to enhance operational efficiencies and functionalities. As the Senior Manager of Software Engineering, you will: Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers handling basic to moderately complex tasks. Be accountable for decisions affecting team resources, budget, tactical operations, execution, and implementation of processes and procedures. Ensure successful collaboration across teams and stakeholders, identifying and mitigating issues, and escalating them as necessary. Offer input to leadership on budget, approach, and technical considerations to enhance operational efficiencies and functionality for the team. Create a culture of diversity, equity, inclusion, and respect for team members, giving priority to diverse representation. Enable the Gen AI platform and implement the Gen AI Use cases, LLM fine-tuning, and multi-agent orchestration. Manage an AIML Engineering scrum team comprising ML engineers, Senior ML engineers, and lead ML engineer. Required Qualifications, Capabilities, and Skills: Formal training or certification in software engineering concepts with over 5 years of applied experience. Extensive practical experience with Python and AWS cloud services, including EKS, EMR, ECS, and DynamoDB. Experience in DataBricks ML lifecycle development. Advanced knowledge in software engineering, AI/ML, machine learning operations (MLOps), and data governance. Demonstrated prior experience in leading complex projects, encompassing system design, testing, and ensuring operational stability. Expertise in computer science, computer engineering, mathematics, or a related technical field. Understanding of large language model (LLM) approaches, such as Retrieval-Augmented Generation (RAG). Preferred qualifications, capabilities, and skills: Real-time model serving experience with Seldon, Ray, or AWS SM. Experience in agent-based model.,

As an Agentic AI Developer, you will be responsible for designing, building, and deploying intelligent agents capable of autonomous decision-making, tool usage, and multi-step task execution. Your expertise in cutting-edge AI technologies and experience with large language models and agent frameworks will be crucial for the successful execution of this role. Your key responsibilities will include designing and implementing AI agents using frameworks such as LangChain, AutoGen, or OpenAI Agents SDK. You will also be required to integrate agents with external tools, APIs, and databases, develop workflows for autonomous task execution, and optimize agent performance through prompt engineering and memory management. Collaboration with product and engineering teams to align agent capabilities with business goals and monitoring and maintaining deployed agents in production environments will also be part of your role. To excel in this position, you must possess a strong proficiency in Python and have experience working with LLMs such as GPT-4, Claude, and Gemini. Familiarity with agent frameworks and orchestration tools, experience with API integration, vector databases, and retrieval-augmented generation (RAG) are essential requirements. An understanding of autonomous systems, decision trees, and reinforcement learning would be a plus. Additionally, excellent problem-solving and communication skills are necessary for this role. While not mandatory, experience with cloud platforms (AWS, Azure, GCP), a background in machine learning or NLP research, and contributions to open-source AI projects would be considered advantageous in this position.,

You are an experienced Data Scientist with over 5 years of professional experience. Your main responsibility will be to develop, deploy, and maintain data-driven solutions that have a direct impact on business outcomes. Leveraging your expertise in Generative AI (GenAI) and Large Language Models (LLMs) is a key aspect of this role, enabling you to create innovative products and enhance existing systems. In this position, you will lead end-to-end data science projects, starting from data collection and preprocessing, all the way to model deployment and monitoring. Your tasks will involve designing, building, and fine-tuning Large Language Models (LLMs) and other GenAI models to address complex business problems. You will also be expected to develop and implement solutions using advanced techniques like Retrieval-Augmented Generation (RAG) and prompt engineering, working closely with cross-functional teams including product, engineering, and business stakeholders to deliver impactful solutions. To excel in this role, you should have at least 1 year of hands-on experience with GenAI and LLM development, including model fine-tuning and deployment. Proficiency in programming languages, particularly Python, and relevant libraries such as PyTorch, TensorFlow, and Hugging Face is essential. Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools for model deployment and management will be advantageous. Additionally, a strong background in machine learning fundamentals, NLP, and statistical analysis is required. Excellent problem-solving, communication, and collaboration skills are also key qualities for this position. Staying up-to-date with the latest research and industry trends in data science, machine learning, and GenAI is crucial to ensure that you are at the forefront of innovation in this field.,

If you are a smart, self-motivated Machine Learning Scientist with a passion for advancing the field of Generative AI, an excellent opportunity awaits you. EXL, a rapidly expanding global digital data-led AI transformation solutions company, is seeking candidates with deep expertise in developing and fine-tuning Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic solutions, and knowledge graph technologies to drive innovative solutions in Generative AI. You will have the chance to be at the forefront of pioneering advancements in AI, working alongside bright minds in an exciting R&D environment to build cutting-edge capabilities that redefine the future of artificial intelligence. In this role, you will develop initiatives in the Generative AI domain, focusing on cutting-edge technologies like LLMs, RAG, and autonomous agents. You will design and implement advanced workflows for integrating LLMs into real-world applications across domains such as Finance, Insurance, and Healthcare. Additionally, you will drive the development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Keeping abreast of AI advancements is essential, as you will be required to read, adapt, and implement cutting-edge research to solve real-world challenges. Documenting research findings, methodologies, and implementations for internal and external stakeholders will also be part of your responsibilities. Qualifications: - Experience: 2-5 years in AI/ML research and development, with at least 1-2 years focusing on Generative AI, LLMs, or related fields. - Education: Masters or PhD in Computer Science, AI, or a related field from a top-tier institution is highly preferred. Required Skills: - Core Expertise: Proven experience with Large Language Models (e.g., GPT-4, BERT, LLaMA, PaLM) and fine-tuning them for domain-specific applications. In-depth knowledge of Retrieval-Augmented Generation workflows and hands-on experience with autonomous agents. - Tools & Frameworks: Proficiency in deep learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Experience with distributed training and optimization on GPUs and TPUs. Familiarity with cloud ecosystems (AWS, Azure, Google Cloud) practices for scalable deployment. - Research & Development: Ability to read and adapt cutting-edge research papers for applied solutions in LLMs and knowledge graphs. Expertise in domain adaptation, few-shot learning, and zero-shot reasoning. Strong understanding of generative models and their integration with LLMs. - Problem Solving: Demonstrated ability to address challenges in unstructured data processing, including NLP and multimodal scenarios. Experience with document retrieval, clustering, and unsupervised learning techniques. Preferred Skills: - Experience with LLM fine-tuning and building Agentic systems for domain LLMs. Experience with reinforcement learning and fine-tuning via RLHF. Knowledge of large-scale optimization methods and efficient model compression techniques. Strong collaboration and communication skills, with a proven ability to lead teams. Experience with MoE based architecture and knowledge of federated learning.,

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.,

As an AI Developer, you will be responsible for developing AI and ML models with a focus on natural language understanding, intent detection, and smart response generation. You will work with Large Language Models (LLMs), including techniques like Retrieval-Augmented Generation (RAG), to construct knowledge-based AI systems. Collaboration with engineering and product teams will be essential to seamlessly integrate AI solutions into real-world applications and platforms. Additionally, you will continuously test, refine, and optimize models for accuracy, performance, and scalability. It is imperative to write clean, maintainable code and adhere to AI development best practices while actively contributing to team documentation. This is a full-time position with benefits including cell phone reimbursement, provided food, health insurance, paid sick time, and Provident Fund. The work schedule is during the day. The preferred educational qualification is a Bachelor's degree, and ideally, you should have a total of 1 year of experience, with specific experience as an AI Developer for 1 year. The work location for this role is in person.,

We are looking for exceptional individuals to join our team at ScalePad as Head of AI Engineering. ScalePad is a prominent software-as-a-service (SaaS) company operating globally to provide Managed Service Providers (MSPs) with the tools and support needed to enhance client value in the ever-evolving IT landscape. As a member of our tech-management team, you will lead AI development initiatives, shape our AI strategy, and guide teams in creating impactful AI applications. This hands-on leadership role involves mentoring teams, improving developer productivity, and ensuring best practices in AI development, software engineering, and system design. Your responsibilities will include designing state-of-the-art AI applications, leveraging advanced techniques such as Machine Learning (ML), Large Language Models (LLMs), Graph Neural Networks (GNNs), and Retrieval-Augmented Generation (RAG). You will also focus on fostering an environment of responsible AI practices, governance, and ethics, advocating for AI-first product thinking, and collaborating with various teams to align AI solutions with business objectives. To excel in this role, you should possess strong technical expertise in AI, ML, software architecture principles, and have a proven track record of integrating AI advancements into engineering execution. Additionally, experience in AI governance, ethics, and managing globally distributed teams will be essential. We are seeking a curious, hands-on leader who is passionate about developing talent, driving innovation, and ensuring AI excellence within our organization. Joining our team at ScalePad will offer you the opportunity to lead the evolution of AI-driven products, work with cutting-edge technologies, and make a global impact by influencing AI-powered decision-making at an enterprise level. As a Rocketeer, you will enjoy ownership through our Employee Stock Option Plan (ESOP), benefit from annual training and development opportunities, and work in a dynamic, entrepreneurial setting that promotes growth and stability. If you are ready to contribute to a culture of innovation, collaboration, and success, we invite you to apply for this role. Please note that only candidates eligible to work in Canada will be considered. At ScalePad, we are committed to fostering Diversity, Equity, Inclusion, and Belonging (DEIB) to create a workplace where every individual's unique experiences and perspectives are valued. Join us in building a stronger, more inclusive future where everyone has the opportunity to thrive and grow.,