Description

You will design, build, and maintain generative and agentic AI systems.

This role is hybrid.

Responsibilities

• Build and fine-tune Generative/Agentic AI models using LangChain, Google ADK, and Azure OpenAI.
• Develop data pipelines and Retrieval-Augmented Generation (RAG) systems, integrating vector databases for semantic retrieval.
• Implement anomaly detection, reporting dashboards, and AI assistants.
• Ensure performance, scalability, and security across all AI systems.
• Collaborate with Subject Matter Experts to align technical solutions with regulatory needs.

Required Skills

• 5+ years of professional experience in software development.
• Expert proficiency in Python and SQL.
• Experience building and deploying RAG pipelines and utilizing Embedding models.
• Familiarity with multi-agent orchestration tools like LangGraph and Semantic Kernel.
• Proficiency with containerization technologies, including Docker and Kubernetes.
• Experience with CI/CD tools such as Jenkins or Harness.
• Hands-on experience with big data tools like PySpark and BigQuery.
• Knowledge of ML frameworks, including TensorFlow and PyTorch.
• Experience with orchestration tools like Airflow or AutoSys.

Key Skills

Education

Any Gradute