Cynet Systems
Job Description:
Design, develop, test, debug, and document software for projects and programs.
Build and fine-tune Generative/Agentic AI models (LangChain, google ADK, Azure OpenAI).
Integrate Google AI SDK to leverage Googles AI services and APIs.
Build and fine-tune Generative/Agentic AI models (LangChain, google ADK, Azure OpenAI).
Develop data pipelines and Retrieval-Augmented Generation (RAG) systems.
Integrate vector databases for semantic retrieval.
Implement anomaly detection, reporting dashboards, and AI assistants.
Ensure performance, scalability, and security of AI systems.
Collaborate with SMEs to align technical solutions with regulatory needs.
Strong programming skills (Python, SQL).
Technology Skills:
RAG pipelines, Embedding models. Multi-agent orchestration: LangGraph, Semantic Kernel, Google ADK. Evaluation: Arize Phoenix. GCP, OnPrem infrastructure. Kubernetes, Docker, OpenShift. CI/CD: Jenkins, Harness. Python, SQL, pySpark, , BigQuery, vector databases, python, SQL, TensorFlow, PyTorch. Build analytics on unstructured data. Airflow/Autosys for orchestration. Test-Driven Development. Automated pipelines for ML and orchestration workflows.
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Technology Skills:
RAG pipelines, Embedding models. Multi-agent orchestration: LangGraph, Semantic Kernel, Google ADK. Evaluation: Arize Phoenix. GCP, OnPrem infrastructure. Kubernetes, Docker, OpenShift. CI/CD: Jenkins, Harness. Python, SQL, pySpark, , BigQuery, vector databases, python, SQL, TensorFlow, PyTorch. Build analytics on unstructured data. Airflow/Autosys for orchestration. Test-Driven Development. Automated pipelines for ML and orchestration workflows.
#J-18808-Ljbffr