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Lead AI Engineer - NLQ & Agentic Systems
AI Engineer
Lead AI Engineer responsible for designing and scaling NLQ and agentic AI frameworks, building data pipelines, evaluating large language models, and deploying solutions on cloud infrastructure.
About the role
Key Responsibilities
- Architect and implement NLQ (natural language query) and agentic AI frameworks that orchestrate multiple LLMs and external tools.
- Design, develop, and maintain robust data pipelines for training, fine‑tuning, and serving large language models.
- Define evaluation metrics, run systematic model benchmarking, and iterate on prompt engineering strategies to improve performance.
- Lead a team of engineers and researchers, providing technical guidance, code reviews, and mentorship.
- Deploy and monitor AI services on cloud platforms (e.g., AWS), ensuring scalability, reliability, and security.
Requirements
- 5+ years of hands‑on experience with Python and modern LLM libraries (e.g., Hugging Face, LangChain, PyTorch, TensorFlow).
- Proven expertise in building agentic systems, prompt engineering, and end‑to‑end AI orchestration.
- Strong background in designing data pipelines and model evaluation frameworks.
- Experience deploying AI workloads on AWS or equivalent cloud environments.
- Excellent problem‑solving skills and ability to lead cross‑functional technical teams.