Description

Design, build, and deploy scalable GenAI applications and LLM-powered agents on cloud infrastructure.

This role is on-site.

Responsibilities

• Develop LLM applications using OpenAI, Azure OpenAI, and open-source models.
• Build AI agents with LangChain, LlamaIndex, or AutoGen for complex workflows.
• Implement RAG architectures with vector databases like Pinecone, Weaviate, or Azure AI Search.
• Engineer data pipelines using Python and SQL for structured and unstructured data.
• Deploy and monitor AI services in Docker and Kubernetes environments.

Required Skills

• Strong proficiency in Python and working knowledge of SQL.
• Experience with LLMs, AI agents, and frameworks like LangChain or CrewAI.
• Hands-on expertise with RAG architectures and vector databases.
• Experience implementing CI/CD pipelines for AI or ML systems.
• Strong understanding of data pipelines and distributed processing.
• Experience on at least one major cloud platform: AWS, Azure, or GCP.
• Experience deploying containerized applications with Docker and Kubernetes.
• 5+ years of professional engineering experience.

Preferred Skills

• Experience finetuning LLMs (LoRA, PEFT, RLHF).
• Familiarity with GenAI evaluation frameworks and hallucination testing.

Key Skills

Education

Bachelor's degree