AI Engineer
INR 2000K-5000K (estimate) Mid-level Full Time
Tasks
- Apply secure coding practices
- Build RAG-architectures
- Build intelligent automation capabilities
- Collaborate with product managers and designers
- Communicate complex technical information
- Conduct complex data analysis
- Create agentic AI workflows
- Define software requirements and solution strategies
- Deploy scalable secure AI systems
- Design AI applications
- Develop AI-powered solutions
- Develop machine learning and NLP solutions
- Develop multi-agent orchestration
- Implement MLOps pipelines
- Implement prompt engineering
- Implement unit testing
- Integrate tools for agentic systems
- Mitigate risk and strengthen controls
- Monitor model and system performance
- Perform code reviews
- Set up CI CD for AI deployments
Perks/Benefits
- N/A
Skills/Tech-stack
AI Risk | AI risk management | APIs | AWS Bedrock | AWS Glue | AWS Step Functions | Agent workflows | Agentic AI | Amazon ECS | Amazon EKS | Amazon S3 | Amazon SageMaker | Apache Airflow | CI/CD | CrewAI | DBT | Data Privacy | Databricks | Docker | FastAPI | Generative AI | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Governance | Monitoring | Multi-Agent | Multi-agent workflows | Natural Language | Natural Language Processing | Observability | Orchestration | Prompt engineering | PySpark | Python | Responsible AI | Retrieval-Augmented Generation | Risk Management | SQL | Secure Coding | Snowflake | State management | Step Functions | Tool-Calling | Unit Testing
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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