Lead Artificial Intelligence Engineer

About the Company

About the Role

Responsibilities

• Architect and implement advanced AI solutions leveraging LLMs (and other emerging architectures), embeddings, and agentic frameworks (e.g., OpenAI Agent SDK, AutoGPT, LangChain, CrewAI).
• Develop and refine Agentic AI systems focusing on planning, memory, tool utilization, and dynamic task critic execution.
• Engineer and optimize prompt engineering pipelines to achieve superior accuracy and low latency across diverse applications.
• Fine-tune and deploy specialized LLMs and AI copilots to transform engineering and business operations.
• Collaborate with cross-functional teams to deliver production-grade solutions that create tangible value.
• Stay ahead of the curve by integrating emerging GenAI research and state-of-the-art capabilities into practical, real-world systems.
• Lead projects and mentor junior engineers, contributing to a culture of innovation and growth.

Qualifications

• Experience

  : 5+ years of hands-on ML/AI/Deep Learning experience, with a strong portfolio of real-world application development.

• Technical Proficiency

  : Advanced Python skills and extensive experience with leading AI tools and libraries (OpenAI, Hugging Face, LangChain, PyTorch, TensorFlow).

• Core Knowledge

  : Deep understanding of Large Language Models (LLMs), embeddings, Retrieval Augmented Generation (RAG), and vector databases (e.g., FAISS, Weaviate).

• Prompt Engineering Mastery

  : Proven expertise in designing and implementing effective, reusable prompts for complex reasoning, classification, generation, and tool integration tasks across a wide variety of models including open-source solutions.

• Agentic AI Acumen

  : Prior experience with autonomous AI agents or multi-agent orchestration is a significant advantage.

• Mindset

  : A startup-ready attitude - agile, intellectually curious, and hands-on, thriving in fast-paced, iterative environments.

Work Hours and Benefits:

Mon – Fri

Paid time off and holidays

Flexible working hours

Opportunity to work in a dynamic and collaborative environment

Professional development and training opportunities

Health Insurance