Description
You will build and optimize scalable AI-driven data systems and agentic workflows.
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.
- Any Graduate degree.