Full-Stack AI Engineer / Data Scientist – Agentic Systems
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Accelerate full stack development using AI coding agents
- Architect cloud-native AWS solutions
- Build data pipelines for dataset preprocessing
- Build multimodal generative AI workflows
- Build observability and telemetry for AI systems
- Configure CI/CD pipelines
- Design Agentic AI systems
- Design and optimize LLM and classical ML algorithms
- Develop retrieval-augmented generation pipelines
- Implement Docker containerization
- Implement drift detection and anomaly identification
- Implement evaluation experiments and A B testing
- Implement model context protocol servers and clients
- Implement prompt engineering
- Perform exploratory data analysis
- Write production ready TypeScript code
- Write production-ready Python code
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Agentic Workflows | Amazon Bedrock | Amazon SageMaker | Anomaly Detection | Artificial Intelligence | B testing | CI/CD | Data Analysis | Data Lakes | Docker | Drift Detection | Exploratory Data Analysis | Feature Engineering | Generative AI | Graph Databases | Infrastructure as Code | Langchain | Language Models | Large Language Models | Machine Learning | Model Context Protocol | NoSQL | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Snowflake | Telemetry | TypeScript | Vector Databases | “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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