Research Engineer & Agentic AI & Multimodal AI

Company Overview Octro Inc. is a leading mobile gaming company that has redefined the digital entertainment landscape in India. With a massive user base across its diverse portfolio of skillbased and social games, Octro leverages cuttingedge technology to deliver seamless, highengagement experiences. The company operates at the intersection of data science, realtime networking, and interactive design, consistently pushing the boundaries of how millions of users connect and compete in virtual environments. Role Overview As a Research Engineer specializing in Agentic and Multimodal AI, you will be at the forefront of Octros efforts to integrate advanced intelligence into our gaming ecosystems. You will work closely with crossfunctional teams of data scientists, product managers, and software engineers to design and deploy autonomous agents and multimodal models that enhance user interaction and game mechanics. Your work will directly influence the sophistication of our platforms, ensuring that our AI initiatives translate into tangible improvements in player retention, personalization, and operational efficiency. Key Responsibilities Architect and implement complex agentic workflows using frameworks like LangGraph and LangChain to automate decisionmaking processes within our gaming platforms. Develop and finetune Large Language Models (LLMs) and Vision Language Models (VLMs) to process multimodal inputs, enabling more intuitive and responsive game environments. Design robust Retrieval Augmented Generation (RAG) pipelines to ensure AI agents have access to accurate, contextaware information for realtime problem solving. Establish rigorous benchmarking protocols to evaluate the performance, latency, and accuracy of AI models, ensuring they meet the highperformance standards required for production environments. Collaborate with engineering teams to transition research prototypes into scalable production services, optimizing model inference and resource utilization. Stay abreast of the latest advancements in generative AI and machine learning to drive innovation in our product roadmap and maintain a competitive edge in the industry. Required Skillset Demonstrated expertise in Python and deep learning frameworks, with a strong foundation in building and deploying Large Language Models and Vision Language Models. Proven ability to design autonomous agents using LangChain and LangGraph, with a deep understanding of state management and multiagent orchestration. Proficiency in implementing RAG architectures and optimizing vector databases for highspeed retrieval in productiongrade applications. Strong analytical mindset with the ability to create comprehensive benchmarking frameworks that measure model efficacy against businesscritical KPIs. Excellent communication skills, with the ability to translate complex technical research into actionable insights for nontechnical stakeholders. A collaborative spirit, comfortable working in a fastpaced, hybrid work environment based in Noida, and capable of mentoring junior team members. A degree in Computer Science, Artificial Intelligence, or a related quantitative field, supported by 4 to 8 years of relevant experience in the AI/ML domain. Company Overview Octro Inc. is a leading mobile gaming company that has redefined the digital entertainment landscape in India. With a massive user base across its diverse portfolio of skillbased and social games, Octro leverages cuttingedge technology to deliver seamless, highengagement experiences. The company operates at the intersection of data science, realtime networking, and interactive design, consistently pushing the boundaries of how millions of users connect and compete in virtual environments. Role Overview As a Research Engineer specializing in Agentic and Multimodal AI, you will be at the forefront of Octros efforts to integrate advanced intelligence into our gaming ecosystems. You will work closely with crossfunctional teams of data scientists, product managers, and software engineers to design and deploy autonomous agents and multimodal models that enhance user interaction and game mechanics. Your work will directly influence the sophistication of our platforms, ensuring that our AI initiatives translate into tangible improvements in player retention, personalization, and operational efficiency. Key Responsibilities Architect and implement complex agentic workflows using frameworks like LangGraph and LangChain to automate decisionmaking processes within our gaming platforms. Develop and finetune Large Language Models (LLMs) and Vision Language Models (VLMs) to process multimodal inputs, enabling more intuitive and responsive game environments. Design robust Retrieval Augmented Generation (RAG) pipelines to ensure AI agents have access to accurate, contextaware information for realtime problem solving. Establish rigorous benchmarking protocols to evaluate the performance, latency, and