Description

You will build and optimize scalable AI-driven data systems and agentic workflows.

This role is on-site.

Responsibilities

• Integrate and optimize LLM APIs, including OpenAI and FILxGPT, for scalable services.
• Architect agentic workflows that combine retrieval, LLM generation, and external tools.
• Build end-to-end RAG systems covering data ingestion, embedding, indexing, and hybrid retrieval.
• Craft, test, and refine high-impact prompts and chains.
• Manage model governance through versioning, monitoring, and bias/security audits.

Required Skills

• 5+ years in AI/ML engineering with 2+ years focused on LLM and agentic systems.
• Deep expertise in prompt engineering and RAG architectures.
• Hands-on experience with vector databases.
• Proficiency in Python.
• Experience with AWS and cloud infrastructure.
• Proficiency with Docker and Kubernetes.
• Experience implementing CI/CD pipelines.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Gradute