Senior AI Engineer
Tasks
- Collaborate on data pipelines and ETL
- Design agent architectures and LLM toolchains
- Develop and deploy machine learning models
- Develop backend services and APIs for agents
- Implement prompt chaining and tool invocation
- Improve model performance using feedback loops
- Integrate large language models into pipelines
- Manage contextual memory for agents
- Monitor and optimize production performance
- Orchestrate agentic AI workflows
Perks/Benefits
- Accidental insurance
- Additional recharge week
- Employee assistance program
- Flexible work arrangement
- Free meals
- Home office setup allowance
- Learning platform access
- Life insurance
- Maternity leave
- Medical insurance
- Mobile and internet reimbursement
- Paid annual leave
- Paternity leave
- Technical workshops
Skills/Tech-stack
Agentic AI | Airflow | Algorithms | Anomaly Detection | Classification | Data Structures | Deep learning | Docker | ETL | Entity Resolution | Java | Kafka | LLM orchestration | Language Models | Large Language Models | MLflow | MLlib | Machine Learning | Microservices | NumPy | Object-Oriented | Object-oriented design | Pandas | Prompt Chaining | Prompt engineering | PyTorch | Python | Scikit-learn | Semantic Search | Similarity Matching | Spark | TensorFlow | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Backend Engineer | Engineer | Senior Backend Engineer
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