Data Scientist
- Posted 12 hours ago
- Be among the first 40 applicants
Job Description
Mandatory skills: AI Engineer Python, Langchain, LangGraph, Agentic AI, API, LLMs
Role & Responsibilities
Role & Responsibilities
- Design, develop, and deploy Agentic AI systems using Python
- Build autonomous AI agents capable of planning, reasoning, and tool usage
- Develop and manage multi-agent workflows and orchestration pipelines
- Integrate LLMs with APIs, databases, and enterprise applications
- Implement Retrieval-Augmented Generation (RAG) pipelines
- Develop scalable backend services and microservices for AI applications
- Optimize performance, latency, and cost of AI systems in production
- Collaborate with Data Science, Engineering, and Product teams
- Ensure best practices in testing, monitoring, and deployment of AI systems
More Info
Key Skills
LangGraph
Langchain
Agentic AI
LLMs
Retrieval-Augmented Generation (RAG)
backend services
About Company
Skills:
production deployment , Python, vector stores, monitoring of AI ML solutions, retrieval strategies, re-ranking, embedding models, multi-step agent workflows, prompt engineering, RAG architectures
Skills:
data mining, Python, Data Analysis, R, econometric optimization models
Skills:
Python, MLOps practices, LLM architectures, fine-tuning techniques, evaluation metrics for generative models
Skills:
Machine Learning, XGBoost, Excel, Sql, Python, Random Forest, R
Skills:
snowflake , Machine Learning, Hadoop, Spark, Tableau, Redshift, Python, Sql, R