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Contact

AI Engineer

  • Permanent
  • 8 - 12 Years
  • India
Apply Now

Overview

We are looking for an experienced AI Consultant to lead end-to-end AI 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. 

The role requires strong client engagement, hands-on prototyping, and expertise in modern AI technologies. A strong consulting mindset, problem-solving skills, and passion for staying current with emerging GenAI trends are essential.

  • Key Responsibilities
  • AI Engagements: Independently manage end-to-end delivery of AI-led transformation projects across industries, ensuring value realization and high client satisfaction. 
  • Strategic Consulting & Roadmapping: Identify key enterprise challenges and translate them into AI solution opportunities, crafting transformation roadmaps that leverage RAG, LLMs, and intelligent agent frameworks. 
  • LLM/RAG Solution Design & Implementation: Architect and deliver cutting-edge AI systems using Python, LangChain, LlamaIndex, OpenAI function calling, semantic search, and vector store integrations (FAISS, Qdrant, Pinecone, ChromaDB). 
  • Agentic Systems: Design and deploy multi-step agent workflows using frameworks like CrewAI, LangGraph, AutoGen or ReAct, optimizing tool-augmented reasoning pipelines. 
  • 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 and RAG/Agentic systems, and contribute to whitepapers, blogs, and new offerings. 
  • Skills/Other Details

Essential Skills 

  • Leadership Quality: Proven track record in leading cross-functional teams and delivering enterprise-grade AI projects with tangible business impact. 
  • Business Consulting Mindset: Strong problem-solving, stakeholder communication, and business analysis skills to bridge technical and business domains. 
  • Python & AI Proficiency: Advanced proficiency in Python and popular AI/ML libraries (e.g., scikit-learn, PyTorch, TensorFlow, spaCy, NLTK). Solid understanding of NLP, embeddings, semantic search, and transformer models. 
  • LLM Ecosystem Fluency: Experience with OpenAI, Cohere, Hugging Face models; prompt engineering; tool/function calling; and structured task orchestration. 
  • Independent Contributor: Ability to own initiatives end-to-end, take decisions independently, and operate in fast-paced environments.
    – Education: Bachelor’s or Master’s in Computer Science, AI, Engineering, or related field.
    – Experience: Minimum 5 years of experience in consulting or technology roles, with at least 3 years focused on AI & ML solutions. 

  

Preferred Skills 

  • Cloud Platform Expertise: Strong familiarity with Microsoft Azure (preferred), AWS, or GCP — including compute instances, storage, managed services, and serverless/cloud-native deployment models. 
  • Programming Paradigms: Hands-on experience with both functional and object-oriented programming in AI system design. 
  • Hugging Face Ecosystem: Proficiency in using Hugging Face Transformers, Datasets, and Model Hub. 
  • Vector Store Experience: Hands-on experience with FAISS, Qdrant, Pinecone, ChromaDB. 
  • LangChain Expertise: Strong proficiency in LangChain for agentic task orchestration and RAG pipelines. 
  • MLOps & Deployment: CI/CD for ML pipelines, MLOps tools (MLflow, Azure ML), containerization (Docker/Kubernetes). 
  • Cloud & Service Architecture: Knowledge of microservices, scaling strategies, inter-service communication. 
  •  Programming Languages: Proficiency in Python and C# for enterprise-grade AI solution development. 

  

Additional Skills 

  • Excellent customer interfacing and stakeholder engagement skills. 
  • Strong verbal and written communication in business and technical contexts. 
  • High attention to detail and structured problem-solving. 
  • Passion for AI ethics, safety, performance, and optimization in enterprise-grade systems. 

 

 

Apply Now