
AI Engineering Specialist
1 week ago
We are seeking a forward-thinking AI specialist to lead the development and deployment of intelligent systems that leverage Generative AI architectures.
You will be instrumental in building AI agents capable of autonomous decision-making, task decomposition, and multi-modal interactions across various applications.
- Design & Development:
- Architect and deploy agentic AI systems capable of reasoning, planning, memory, and self-refinement.
- Fine-tune and deploy LLMs for specific tasks like text, image, or code generation.
- Integrate multi-modal models for richer agent interactions.
Key Responsibilities:
- Autonomy & Task Execution:
- Build AI agents that can independently plan, execute, and monitor workflows across tools and platforms.
- Develop agent memory, reflection, and context-awareness mechanisms.
Tooling & Frameworks:
- Work with and contribute to agent frameworks like LangChain, AutoGPT, CrewAI, or custom-built systems.
- Optimize model performance using techniques like LoRA, RAG, distillation, and quantization.
Collaboration & Leadership:
- Partner with product managers, designers, and engineers to co-develop AI-first features and applications.
- Mentor junior AI engineers and help guide technical direction.
Requirements:
- Must-Have Skills:
- Strong foundation in machine learning, deep learning, NLP, and modern LLM architectures.
- Hands-on experience with transformers, RAG pipelines, prompt engineering, and chain-of-thought reasoning.
- Demonstrated ability to build or integrate agent frameworks for automation and intelligent task handling.
- Proficiency in Python, PyTorch, Hugging Face Transformers, and agent libraries like LangChain or CrewAI.
- Deep understanding of vector databases, retrieval systems, and context enrichment strategies.
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