AI Engineer - AM

About this role

Description

We are seeking a  AI Engineer / AI Architect with extensive experience in Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Agentic AI systems. This role requires high technical acumen, architectural design, and delivery of large-scale AI projects. You will influence technical roadmaps, manage teams, and ensure enterprise-grade AI solutions align with business objectives.

Responsibilities

Key Responsibilities:

• **Lead and architect** enterprise-scale AI solutions leveraging LLMs, multimodal models, and advanced GenAI techniques.
• Design and oversee **RAG pipelines** and **Agentic AI frameworks** for complex workflows.
• Define **AI architecture standards**, scalability strategies, and integration patterns with cloud services and be able to implement them from scratch.
• Collaborate with senior stakeholders to **propose AI-driven solutions** and influence technology strategy.
• Ensure compliance with **security, governance, and ethical AI principles**.
• **Oversee model deployment, model cost estimation** in production environments and ensure robust monitoring.
• Lead **MVP development** for rapid prototyping and proof-of-concept initiatives.
• Mentor and guide AI & engineering teams, fostering innovation and best practices.

Qualifications

Required Skills:

• **Programming:** Expert-level proficiency in **Python** and AI/ML libraries (PyTorch, TensorFlow, Hugging Face) and **FastAPI**.
• Should know the basics of frontend development
• **Generative AI:** Proven experience in LLM fine-tuning, prompt engineering, and production deployment.
• **RAG & Agentic AI:** Advanced knowledge of embeddings, vector databases (FAISS, Pinecone), and agent orchestration frameworks (LangChain, AutoGen).
• **Traditional ML & Deep Learning:** Strong foundation in **ML algorithms** and **deep learning architectures** (CNNs, RNNs, Transformers).
• **Architecture & Leadership:** Ability to design **scalable AI architect...