Key Responsibilities:
Design and develop GenAI-powered enterprise applications.
Build LLM-based solutions and Agentic AI/Multi-Agent workflows.
Develop RAG pipelines using embeddings and vector databases.
Integrate AI models with enterprise applications through APIs.
Optimize prompts, context management and agent workflows.
Deploy and support AI solutions on AWS.
Work directly with clients, business stakeholders and users.
Translate business requirements into production-ready AI solutions.
Candidate Must Have:
Minimum 6 months–1 year hands-on GenAI experience.
Proven LLM-based project implementation.
Solid Python development.
Hands-on AWS experience.
Robust communication and stakeholder management.
Ability to work directly with clients/business users.