We are seeking an Agentic AI Developer to build intelligent autonomous AI systems that can reason retrieve knowledge and act across multiple tools and data sources. The role focuses on developing multi-agent pipelines RAG systems and real-time AI-driven applications.
Responsibilities
- Design and develop agentic AI systems using LLMs tools and orchestration frameworks.
- Build RAG pipelines for structured and unstructured data.
- Implement multi-agent workflows for document understanding OCR and data extraction.
- Build APIs and services using Python and FastAPI for AI pipelines.
- Evaluate and improve model accuracy latency and reliability
Qualifications :
Required Skills
- Strong proficiency in Python and SQL.
- Experience with LLMs RAG and multi-agent systems.
- Hands-on with LangChain LangGraph or similar frameworks.
- Experience with vector databases and OCR tools.
- Experience deploying models on cloud platforms (Azure preferred).
- Knowledge of prompt engineering and agent reasoning patterns.
- Familiarity with cloud deployment and Docker.
Good to Have
- Exposure to cloud platforms (GCP) .
- Exposure to MLOps experience.
- Knowledge of CI/CD tools.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Full-time
We are seeking an Agentic AI Developer to build intelligent autonomous AI systems that can reason retrieve knowledge and act across multiple tools and data sources. The role focuses on developing multi-agent pipelines RAG systems and real-time AI-driven applications.ResponsibilitiesDesign and develo...
We are seeking an Agentic AI Developer to build intelligent autonomous AI systems that can reason retrieve knowledge and act across multiple tools and data sources. The role focuses on developing multi-agent pipelines RAG systems and real-time AI-driven applications.
Responsibilities
- Design and develop agentic AI systems using LLMs tools and orchestration frameworks.
- Build RAG pipelines for structured and unstructured data.
- Implement multi-agent workflows for document understanding OCR and data extraction.
- Build APIs and services using Python and FastAPI for AI pipelines.
- Evaluate and improve model accuracy latency and reliability
Qualifications :
Required Skills
- Strong proficiency in Python and SQL.
- Experience with LLMs RAG and multi-agent systems.
- Hands-on with LangChain LangGraph or similar frameworks.
- Experience with vector databases and OCR tools.
- Experience deploying models on cloud platforms (Azure preferred).
- Knowledge of prompt engineering and agent reasoning patterns.
- Familiarity with cloud deployment and Docker.
Good to Have
- Exposure to cloud platforms (GCP) .
- Exposure to MLOps experience.
- Knowledge of CI/CD tools.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Full-time
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