Full-Stack AI Engineer / Data Scientist – Agentic Systems
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build data pipelines for dataset preprocessing
- Build retrieval-augmented generation pipelines
- Containerize applications with Docker
- Create and maintain automated testing and documentation
- Deploy and manage models with MLOps
- Design and build agentic AI systems
- Design exploratory data analysis and data quality checks
- Develop multimodal agent workflows
- Develop scalable cloud-native AI services
- Fine tune and optimize LLM based algorithms
- Implement CI/CD pipelines
- Implement model context protocol servers and clients
- Implement observability telemetry and drift detection
- Implement prompt engineering strategies
- Monitor inference latency and resource usage
- Run A B testing and evaluate model performance
- Write production-ready Python code
Perks/Benefits
- Career growth opportunities
- Cross-functional collaboration
- Cutting-edge technology projects
- Inclusive collaborative culture
Skills/Tech-stack
A/B | A/B Testing | API Design | AWS | Agentic Systems | Amazon Bedrock | Amazon SageMaker | B testing | CI/CD | Data Analysis | Docker | Exploratory Data Analysis | Feature Engineering | Few-Shot Learning | Few-shot | Fine Tuning | Graph Databases | Infrastructure as Code | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Model Context Protocol | Multimodal Models | NoSQL | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Snowflake | State machines | Statistics | Telemetry | TypeScript | Vector Databases | Zero-Shot | Zero-shot Learning | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
AI Engineer | Data Scientist | Engineer | Full Stack | Full Stack AI Engineer | Scientist
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