- 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.
- Strong communication and stakeholder management.
- Ability to work directly with clients/business users.