Description

You will build and deploy advanced AI systems, focusing on Generative and Agentic applications.

Responsibilities

• Architect and scale enterprise-grade GenAI chatbot solutions.
• Develop and implement Agentic AI workflows using relevant frameworks.
• Design and operationalize RAAG pipelines leveraging vector databases.
• Drive productivity and cost optimizations within AI infrastructure.
• Translate complex business problems into tangible, analytical AI solutions.

Required Skills

• 5+ years of professional experience in AI/ML or related domains.
• Expertise in Python and AI/ML frameworks like PyTorch or TensorFlow.
• Deep understanding of Gen AI, Agentic AI, and classic Machine Learning concepts.
• Experience with prompt engineering and RAG pipeline implementation.
• Proficiency with MLOps/LLMOps tools, including MLflow, Kubeflow, Docker, and Kubernetes.
• Hands-on experience with cloud platforms (Azure AI Foundry, AWS Bedrock/SageMaker, GCP Vertex AI).
• Familiarity with GenAI frameworks like LangChain and observation tools like Langsmith/Langfuse.
• Experience with vector databases such as Pinecone or FAISS.
• Ability to collaborate cross-functionally with data science and engineering teams.

Key Skills

Education

Any Gradute