Generative AI Tech Lead

As a Generative AI Tech Lead at BIG4 in Hyderabad, your role will involve spearheading the implementation and solution delivery of AI applications. You will be responsible for designing end-to-end AI systems, leading technical teams, and ensuring integration across commercial and open-source tools. To excel in this position, you must have deep expertise in Python, agentic frameworks like LangGraph, and cloud-native deployment practices. Key Responsibilities: - Designing end-to-end AI systems - Leading technical teams - Ensuring integration across commercial and open-source tools - Balancing hands-on technical architecture and project management oversight Qualifications Required: - 8+ years of experience - Hands-on Python, LLM, RAG, and AI experience - Background in developing agents using LangGraph, autogen, and CrewAI - Proficiency in machine learning libraries such as TensorFlow, PyTorch, and Keras - Experience with AWS, Azure, or GCP - Knowledge of Docker and Kubernetes - Expertise in distributed systems, RESTful APIs, and microservices architecture Additionally, you should be proficient in a wide range of tools including python, langgraph, autogen, crewai, tensorflow, pytorch, keras, aws, azure, google cloud platform, docker, kubernetes, jenkins, gitlab ci/cd, terraform, cloudformation, sql, postgresql, mongodb, cassandra, restful apis, graphql, rabbitmq, apache kafka, hugging face transformers, and openai api to successfully fulfill your responsibilities. As a Generative AI Tech Lead at BIG4 in Hyderabad, your role will involve spearheading the implementation and solution delivery of AI applications. You will be responsible for designing end-to-end AI systems, leading technical teams, and ensuring integration across commercial and open-source tools. To excel in this position, you must have deep expertise in Python, agentic frameworks like LangGraph, and cloud-native deployment practices. Key Responsibilities: - Designing end-to-end AI systems - Leading technical teams - Ensuring integration across commercial and open-source tools - Balancing hands-on technical architecture and project management oversight Qualifications Required: - 8+ years of experience - Hands-on Python, LLM, RAG, and AI experience - Background in developing agents using LangGraph, autogen, and CrewAI - Proficiency in machine learning libraries such as TensorFlow, PyTorch, and Keras - Experience with AWS, Azure, or GCP - Knowledge of Docker and Kubernetes - Expertise in distributed systems, RESTful APIs, and microservices architecture Additionally, you should be proficient in a wide range of tools including python, langgraph, autogen, crewai, tensorflow, pytorch, keras, aws, azure, google cloud platform, docker, kubernetes, jenkins, gitlab ci/cd, terraform, cloudformation, sql, postgresql, mongodb, cassandra, restful apis, graphql, rabbitmq, apache kafka, hugging face transformers, and openai api to successfully fulfill your responsibilities.