Generative AI Engineer

Job Description : We are seeking a highly skilled and passionate Senior Agentic AI Engineer to join our innovative team. In this role, you will take ownership of the full lifecycle of our cutting-edge agentic AI solutions, from architectural design and independent implementation to successful deployment and ongoing optimization in a production environment. You will be empowered to drive key technical decisions and will play a crucial role in shaping the evolution of our AI platform. - Design, develop, and implement agentic AI applications using Python and relevant frameworks. - Architect and build robust and scalable backend systems. - Integrate and manage interactions with various Large Language Models (LLMs) through APIs and other interfaces. - Utilize and optimize vector databases for efficient information retrieval and knowledge management within AI agents. - Develop and implement sophisticated agentic workflows using frameworks like Autogen, AG2, Langgraph, Agno, or CrewAI. - Collaborate effectively with cross-functional teams, including product managers, researchers, and other engineers. - Write clean, well-documented, and testable code following best practices. - Stay up-to-date with the latest advancements in AI, LLMs, and agentic technologies. - Contribute to the technical direction and architecture of our agentic AI platform. - Deploy solutions on one or more cloud platforms (AWS, Azure, GCP). - Participate in code reviews and knowledge sharing within the team. Minimum Required Skills : - 7+ years of progressive experience in software development, with a strong track record of independently delivering production-grade backend systems. - Proven expertise in Python. - Hands-on experience with Langchain. - Demonstrated experience with one or more agentic frameworks such as Autogen, AG2, Langgraph, Agno, or CrewAI. - Experience working with Vector Databases (e.g., Chroma, Pinecone, Weaviate). - Deep understanding of Large Language Models (LLMs) and their application in building intelligent systems. - Proficient with Git for version control. - Comfortable working in a Linux environment. - Experience deploying and managing applications on one or more cloud platforms (AWS, Azure, GCP). - Proven experience designing, implementing, and maintaining robust CI/CD pipelines for production deployments. - Solid understanding and practical experience with both SQL and NoSQL databases. - Strong leadership and management skills. - Problem-solving and decision-making skills. - Planning & Execution - Excellent Communication & Inter-personal skills. - Proficient in MS Office suite. Preferred Skills : - Experience with BigQuery. - Proficiency in one or more additional programming languages such as JavaScript, Java, or C#. - Experience developing multi-agent systems. - Experience with serverless architecture and/or containerization technologies (e.g., AWS Lambda, Azure Functions, GCP Cloud Functions, Docker, Kubernetes). - Experience with local LLM execution and management. - Experience with prompt engineering and fine-tuning LLMs. - Contributions to open-source AI or agentic projects. - Strong understanding of security best practices in AI applications. - Familiarity with MLOps principles. - Experience with relevant testing frameworks. - Understanding of AI Ethics and Responsible AI principles. - Familiarity with other AI/ML technologies such as computer vision, neural networks, and time-series analysis. What We Offer : - Competitive salary and performance-based bonuses. - Health and wellness benefits. - Opportunity to work in a dynamic and fast-growing environment with a focus on innovation and excellence. Regards Shyam J Senior HR Analyst 106-109, Anna Salai, Guindy, Chennai – M: • About EXELA • Instagram • LinkedIn

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