- Hyderabad, Telangana, India
- Hybrid
- Principal
- 5+ years
Lead end-to-end development of GenAI applications, including prompt engineering, fine-tuning, RAG pipelines, and LLM-based workflows, while ensuring high standards of performance, scalability, and responsible AI practices.
Responsibilities
- Implement Agentic AI systems leveraging frameworks such as LangChain, Google ADK, Strands, and Semantic Kernel
- Apply advanced prompt engineering techniques to improve accuracy and robustness of LLM systems
- Build multimodal AI solutions integrating text with images or structured data
- Apply harness engineering practices to design, test, and evaluate AI/agent workflows
- Develop reusable agent tooling and integrations for enterprise services
Requirements
- Master's degree in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)
- Nice to have: multimodal AI systems
- Nice to have: LLMOps
- Nice to have: Machine Learning Operations
- Nice to have: PyTorch