AI Engineer

About the Role

We are seeking an experienced AI Consultant to lead end-to-end transformation initiatives and deliver measurable business value. The ideal candidate will identify enterprise challenges, develop AI roadmaps, and design scalable solutions using Generative AI, LLMs, RAG, and agentic frameworks.

Key Responsibilities

• AI Engagements: Independently manage end-to-end delivery of AI-led transformation projects across industries to ensure value realization and high client satisfaction.
• Strategic Consulting & Roadmapping: Identify key enterprise challenges, translate them into solution opportunities, and craft roadmaps leveraging RAG, LLMs, and intelligent agent frameworks.
• LLM/RAG Solution Design: Architect cutting-edge AI systems using Python, LangChain, LlamaIndex, OpenAI function calling, semantic search, and vector store integrations (FAISS, Qdrant, Pinecone, ChromaDB).
• Agentic Systems: Deploy multi-step agent workflows using CrewAI, LangGraph, AutoGen or ReAct to optimize tool-augmented reasoning.
• Client Engagement & Advisory: Build lasting client relationships as a trusted AI advisor, delivering technical insight and strategic direction on generative AI initiatives.
• Hands-on Prototyping: Rapidly prototype PoCs using Python and modern ML/LLM stacks to demonstrate feasibility and business impact.
• Thought Leadership: Conduct market research, stay updated with the latest in GenAI/RAG/Agentic systems, and contribute to whitepapers and blogs.

Essential Skills

Leadership Quality: Proven track record leading cross-functional teams and delivering enterprise-grade AI projects.
Business Consulting Mindset: Strong problem-solving, stakeholder communication, and business analysis skills to bridge technical/business domains.
Python & AI Proficiency: Advanced proficiency in Python (scikit-learn, PyTorch, TensorFlow, spaCy, NLTK); solid understanding of NLP, embeddings, semantic search, and transformers.
LLM Ecosystem Fluency: Experience with OpenAI, Cohere, Hugging Face models; prompt engineering; tool/function calling; structured task orchestration.

Education & Experience

• Bachelor's or Master's in Computer Science, AI, Engineering, or related field.
• Minimum 5 years experience in consulting/technology roles (at least 3 focused on AI&ML).

Preferred Skills:

• Cloud Platform Expertise: Strong familiarity with Microsoft Azure (preferred), AWS, or GCP.
• Hugging Face Ecosystem: Proficiency in Hugging Face Transformers, Datasets, and Model Hub.
• Vector Store Experience: Hands-on experience with FAISS, Qdrant, Pinecone, ChromaDB.
• MLOps & Deployment: CI/CD for ML pipelines (MLflow, Azure ML), containerization (Docker/Kubernetes).
• Programming Languages: Proficiency in Python and C# for enterprise-grade solution development.

Additional Skills: Excellent customer interfacing, strong verbal/written communication (business/technical contexts), high attention to detail, passion for AI ethics and optimization.