Description

You will design, build, and deploy scalable LLM and agentic solutions, owning the architecture and full development lifecycle.

This role is on-site.

Responsibilities

• Design and develop scalable LLM pipelines using RAG, vector databases, hybrid search, and agentic workflows.
• Implement prompt and response guardrails to ensure responsible AI compliance and security.
• Architect and manage cloud infrastructure on AWS, Azure, or Databricks, including Unity Catalog governance layers.
• Build and maintain DevOps pipelines using Docker, Kubernetes, Terraform, and CI/CD tools for continuous delivery.
• Collaborate with cross-functional teams, conduct code reviews, and translate business requirements into technical execution.

Required Skills

• 3+ years of experience in Python development and LLM/GenAI solution design.
• Hands-on experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock) and SDKs (Langchain, DSPy).
• Proficiency in cloud platforms (AWS preferred; Azure or Databricks) and infrastructure-as-code (Terraform, CloudFormation).
• Strong knowledge of DevOps tools including Docker, Kubernetes, and AWS services (S3, RDS, Redshift, ECR).
• Experience with Databricks Unity Catalog and data governance from source to model output.
• Proficiency in API frameworks such as FastAPI or Django.
• Experience with production deployments involving Redis, Vector Search, and high-scale user loads.

Preferred Skills

• Front-end development experience with React JS, Next JS, and Tailwind CSS.
• Knowledge of Azure DevOps and Agile/Scrum methodologies.

Key Skills

Education

Bachelor's degree