𝐀𝐈 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫 – 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬 & 𝐋𝐋𝐌 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠 We are seeking innovative and skilled AI Researchers to join our dynamic team. In this role, you will design and develop cutting-edge agentic architectures to tackle complex, real-world challenges using Large Language Models (LLMs) . 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 - Design and implement advanced 𝐚𝐠𝐞𝐧𝐭𝐢𝐜 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞𝐬 to address complex, real-world industry problems. - 𝐅𝐢𝐧𝐞-𝐭𝐮𝐧𝐞 𝐋𝐋𝐌𝐬 to enhance agent performance and adapt to domain-specific tasks. - Solve practical, real-world industry use cases using AI agents, optimizing for accuracy, scalability, and impact. - Conduct in-depth analysis of state-of-the-art research and integrate the latest AI advancements into production-ready systems. - Enhance agent decision-making and planning capabilities through architectural and model-level innovations. - Continuously research and prototype emerging AI tools, trends, and frameworks. - Collaborate with cross-functional teams, translating research into aligned, actionable solutions for product needs. 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝: Hands-on experience fine-tuning LLMs for specific downstream tasks and workflows. 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝: Demonstrated success in solving industry use cases with AI agents ideally in production environments. - Deep understanding of agentic frameworks such as AutoGen, CrewAI LangGraph, or similar. - Strong foundation in Natural Language Processing (NLP) and deep learning concepts. - Proven ability to digest, interpret, and apply insights from cutting-edge AI research. - Strong problem-solving skills with a focus on practical, scalable AI solutions. Show more Show less
As an AI Researcher at our company, you will be part of a dynamic team focused on designing and developing cutting-edge agentic architectures to address complex real-world challenges using Large Language Models (LLMs). Your responsibilities will include designing and implementing advanced solutions to solve industry problems, enhancing agent performance, and adapting to domain-specific tasks. You will leverage AI agents to solve practical use cases, optimizing for accuracy, scalability, and impact. You will be expected to conduct in-depth analysis of state-of-the-art research, integrating the latest AI advancements into production-ready systems. Your role will involve enhancing agent decision-making and planning capabilities through architectural and model-level innovations. Additionally, you will be responsible for continuously researching and prototyping emerging AI tools, trends, and frameworks. Collaboration with cross-functional teams will be essential to translate research into actionable solutions aligned with product needs. The ideal candidate for this role should have hands-on experience fine-tuning LLMs for specific downstream tasks and workflows. They should also demonstrate a track record of successfully solving industry use cases with AI agents, ideally in production environments. A deep understanding of agentic frameworks such as AutoGen, CrewAI LangGraph, or similar is required. A strong foundation in Natural Language Processing (NLP) and deep learning concepts is essential. The candidate should also possess the ability to digest, interpret, and apply insights from cutting-edge AI research. Strong problem-solving skills with a focus on practical, scalable AI solutions will be key to success in this role.,
We are looking for a skilled Backend Engineer with 2+ years of experience to join our growing team. You will play a key role in developing robust, scalable backend services and integrations that power our AI-driven audit platform. Collaborating closely with frontend engineers and data scientists, you'll help build a reliable and efficient system architecture. Responsibilities Design, develop, and maintain scalable backend services using Java and Python. Build and manage integrations with internal and external APIs and third-party systems. Optimize application performance, reliability, and security. Collaborate with cross-functional teams to define API contracts and ensure seamless data flow. Write clean, maintainable, and well-documented code. Participate in code reviews and contribute to team best practices. Troubleshoot and resolve production issues in a timely manner. Requirements 2+ years of professional experience in backend development. Strong proficiency in Java and Python programming languages. Hands-on experience building and maintaining API integrations. Solid understanding of RESTful API design and microservices architecture. Experience with relational and NoSQL databases. Familiarity with cloud platforms and containerization (AWS, Docker, Kubernetes) is a plus. Strong problem-solving skills and attention to detail. Excellent collaboration and communication skills. Experience with message brokers like Kafka or RabbitMQ. Knowledge of CI/CD pipelines and automated testing frameworks. Exposure to security best practices for backend systems. This job was posted by Abhinav Sharma from Irame.