Develop scalable Python applications focused on GenAI and lead the implementation of intelligent autonomous agents
Job Summary
Develop scalable Python applications focused on GenAI and lead the implementation of intelligent autonomous agents.
Design, develop, and fine-tune applications built around foundation models for specific business needs, implementing techniques like RAG and prompt engineering.
Deploy, manage, and optimize AI/ML workloads and full-stack applications on major cloud platforms, implementing LLMOps/MLOps and DevOps best practices.
Matching Summary
Develop scalable Python applications focused on GenAI and lead the implementation of intelligent autonomous agents.
Skills & Requirements
Must-have
Advanced Python programming
GenAI frameworks like LangChain
Machine Learning and AI
Develop scalable Python applications
Implement generative AI techniques
Lead intelligent autonomous agents
Deploy AI/ML workloads on cloud
Nice-to-have
Innovative thinking and delivery excellence
Collaborate with cross-functional teams
Stay abreast of latest advancements
Key Requirements
6 to 10 years of experience
Proficient in SQL and NoSQL databases
Experience with front-end and back-end frameworks
Experience with cloud platforms (AWS, Azure, or GCP)