Principal AI Engineer

Job Summary

We are looking for an exceptional Principal AI Engineer to lead the design, architecture, and deployment of enterprise-scale AI platforms. This is a senior technical leadership role requiring extensive experience in Generative AI, Large Language Models (LLMs), Agentic AI, Conversational AI, Retrieval-Augmented Generation (RAG), and Voice AI.

The successful candidate will drive AI strategy, architect production-grade AI solutions, mentor engineering teams, and collaborate with executive leadership to deliver innovative AI capabilities across the organization.

Key Responsibilities

• Architect and lead enterprise AI solutions using Generative AI, Agentic AI, Conversational AI, and LLM technologies.
• Design and optimize advanced RAG pipelines, semantic search, embeddings, vector databases, and knowledge retrieval systems.
• Build autonomous AI agents with reasoning, planning, tool integration, and multi-agent orchestration capabilities.
• Develop production-grade conversational AI and Voice AI solutions with STT, TTS, VAD, and real-time streaming.
• Lead LLM fine-tuning, prompt engineering, inference optimization, and model deployment.
• Design scalable AI infrastructure using cloud platforms, Docker, Kubernetes, and distributed GPU environments.
• Establish AI governance, evaluation frameworks, observability, security, and Responsible AI practices.
• Mentor senior AI engineers and provide technical leadership across AI initiatives.

Required Qualifications

• Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field (Mandatory).
• 15–20+ years of software engineering experience.
• 10–12+ years of hands-on AI/ML experience.
• 7–8+ years working with Large Language Models (LLMs), Generative AI, and enterprise AI applications.
• Extensive experience designing Conversational AI, Agentic AI, and RAG-based solutions.
• Expert-level Python programming skills.
• Strong experience with vector databases, embeddings, semantic search, and enterprise AI architectures.
• Experience with cloud platforms (AWS, Azure, or GCP), Docker, Kubernetes, APIs, microservices, and CI/CD.
• Excellent leadership, communication, and stakeholder management skills.

Technical Skills

AI Frameworks

• LangChain
• LangGraph
• LlamaIndex
• PyTorch
• Hugging Face
• vLLM

Vector Databases

• Pinecone
• Milvus
• Weaviate
• FAISS
• Azure AI Search

Voice AI

• Whisper
• Deepgram
• ElevenLabs
• Azure Speech Services

Backend \& Cloud

• Python
• FastAPI
• Docker
• Kubernetes
• AWS
• Microsoft Azure
• Google Cloud Platform

Preferred Qualifications

• Experience with MLOps, LLMOps, AI Governance, and Responsible AI.
• Research publications, patents, or contributions in Artificial Intelligence.
• Experience with open-source foundation models such as Llama, Mistral, DeepSeek, or Qwen.
• Experience leading enterprise AI transformation and mentoring engineering teams.

Why Join Us?

• Lead enterprise-scale AI transformation initiatives.
• Work with cutting-edge Generative AI and LLM technologies.
• Influence AI strategy and architecture across the organization.
• Collaborate with highly experienced engineering and leadership teams.

Work Location: In person