Full-Stack AI Engineer / Data Scientist – Agentic Systems
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build data pipelines for dataset curation and preprocessing
- Build retrieval-augmented generation pipelines
- Configure CI/CD pipelines
- Containerize applications with Docker
- Deliver end to end features with Python code
- Deploy and monitor ML systems
- Design and build agentic AI systems
- Design and fine tune LLM based algorithms
- Develop MCP servers and clients
- Implement multimodal LLM workflows
- Implement prompt engineering strategies
- Optimize model inference for low latency
- Perform exploratory data analysis
- Run A B testing and evaluation pipelines
- Set up observability and drift detection
- Write production ready code with testing and documentation
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Agentic Workflows | Amazon Bedrock | Amazon SageMaker | B testing | CI/CD | Data Analysis | Data Generation | Data Lakes | Docker | Exploratory Data Analysis | Feature Engineering | Generative AI | Graph Databases | Infrastructure as Code | Langchain | Language Models | Large Language Models | Latency optimization | MLOps | Model Context Protocol | Model Monitoring | NoSQL | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Snowflake | State machines | Synthetic Data Generation | Synthetic data | 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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