About the role
Key Responsibilities:
- Design, develop, and deploy Agentic AI systems and Generative AI solutions
- Build and implement RAG and Information Retrieval pipelines for real-world use cases
- Develop and integrate Large Language Models into production systems
- Perform model evaluation, experimentation, and continuous improvement
- Optimize model performance, scalability, and inference efficiency
- Develop AI solutions using Python and modern ML/AI frameworks
- Work with cloud platforms to deploy and manage AI workloads
- Collaborate with engineering and product teams to translate requirements into AI-driven solutions
- Apply prompt engineering techniques to improve LLM outputs
- Maintain documentation and best practices for AI model development and deployment
Requirements
- 5–8 years of experience in AI/ML engineering or related roles
- Strong hands-on experience with Agentic AI, RAG, IR, and LLM-based systems
- Proficiency in Python and ML/AI frameworks such as TensorFlow, PyTorch, and Scikit-learn
- Experience with cloud platforms, preferably AWS and GCP
- Strong understanding of model development, evaluation, and optimization
- Ability to work independently and deliver under tight timelines
- Immediate to 20 days notice period preferred
- Candidates from JNTU Hyderabad to be avoided as per hiring guidelines