BRBrillio
Data Scientist
Hyderabad ₹5-9 LPA Posted 29 May 2026
FULL TIME
Machine Learning
Deep Learning
Python
Job Description
Key Responsibilities
Agentic AI System Design & Development
- Design and develop autonomous, goal-driven AI agents capable of planning, reasoning, and task execution
- Implement agentic frameworks such as LangGraph, CrewAI, AutoGPT, and AgentOps
- Build scalable multi-agent systems for enterprise healthcare use cases
LLM Engineering & Optimization
- Fine-tune and prompt-engineer LLMs such as GPT, LLaMA, Mistral, and other foundation models
- Develop domain-specific AI solutions using prompt optimization and model adaptation techniques
- Evaluate and improve model performance for reliability and accuracy
RAG & Vector Database Implementation
- Build Retrieval-Augmented Generation (RAG) pipelines for contextual AI responses
- Work with vector databases such as FAISS, Pinecone, and Weaviate
- Ensure accurate grounding of AI outputs using enterprise knowledge sources
ML Frameworks & Model Development
- Develop machine learning models using Python, TensorFlow, PyTorch, and HuggingFace
- Support training, evaluation, and deployment of AI models
- Iterate rapidly on prototypes and scale them into production systems
API & System Integration
- Build and integrate RESTful APIs and microservices for AI solutions
- Work with orchestration tools such as FastAPI and Airflow
- Ensure seamless integration of AI systems into enterprise platforms
Cloud & Production Deployment
- Deploy AI solutions on cloud platforms such as AWS, GCP, or Azure
- Ensure scalability, reliability, and performance of production AI systems
- Monitor system behavior and optimize performance
Healthcare Domain Application
- Work on healthcare insurance (payer-side) use cases and workflows
- Translate domain requirements into AI-driven solutions
- Collaborate with domain experts to ensure compliance and relevance
Collaboration & Stakeholder Engagement
- Work closely with cross-functional teams to identify AI opportunities
- Communicate technical insights to business stakeholders
- Support continuous improvement of AI products and systems
