Description

Build and deploy AI solutions using LLMs, generative AI platforms, and RAG architectures.

This role is on-site.

Responsibilities

• Design and deploy AI solutions leveraging Gemini 2.5, GitHub Copilot, and Glean.
• Implement retrieval-augmented generation (RAG) systems and manage embeddings.
• Develop ML pipelines, APIs, and prompt engineering workflows.
• Deploy models on cloud platforms including AWS, Azure, and GCP.
• Integrate vector databases such as Pinecone, Weaviate, FAISS, or Milvus.

Required Skills

• 10+ years of software engineering experience.
• Hands-on experience with Gemini 2.5, GitHub Copilot, or Glean.
• Solid understanding of LLM architectures and RAG patterns.
• Proficiency in Python, JavaScript, or TypeScript.
• Experience with cloud platforms (AWS, Azure, GCP) for AI/ML deployments.
• Familiarity with vector databases (Pinecone, Weaviate, FAISS, Milvus).
• Knowledge of ML pipelines, APIs, and prompt engineering.

Preferred Skills

• Graduate degree in Computer Science or related field.

Key Skills

Education

Any Graduate