Agentic/Gen AI Practice Head, Hyderabad

8 - 13 years

25 - 40 Lacs

Posted:3 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities :

  • AI Product Development:
    Design and develop scalable AI-driven products, from proof of concept (POC) to production-ready systems.
  • Generative AI Engineering:
    Fine-tune, prompt-engineer, and deploy LLMs (OpenAI, Anthropic, Gemini, Llama, Mistral, etc.) for text, chat, code, and multimodal use cases.
  • Agentic AI Systems:
    Build multi-agent architectures that autonomously reason, plan, and execute tasks across enterprise workflows using frameworks like LangChain, LangGraph, CrewAI, or AutoGen.
  • End-to-End Implementation:
    Develop and orchestrate intelligent pipelines integrating AI models, vector databases (FAISS, Pinecone, Chroma), APIs, and orchestration tools (n8n, Airflow, Azure AI Studio, etc.).
  • Data Integration:
    Work with structured and unstructured data sources, performing embedding generation, RAG optimization, and semantic search implementation.
  • Productization:
    Transform AI prototypes into production-ready applications using MLOps best practices and cloud-native deployment (Azure, AWS, GCP).
  • Cross-Functional Collaboration:
    Work closely with business analysts, product owners, and solution architects to identify automation and decision-making opportunities via Agentic AI.
  • Continuous Innovation:
    Research and implement emerging frameworks in autonomous agents, tool use, memory-based reasoning, and multi-modal integration.

Required Skills :

  • Core AI Expertise:
    • LLMs (GPT-4, Claude, Gemini, Llama, Mistral, etc.)
    • Generative AI frameworks (LangChain, LlamaIndex, Semantic Kernel, CrewAI)
    • Vector databases (FAISS, Pinecone, Milvus, Weaviate, Chroma)
    • Knowledge of RAG, prompt engineering, and few-shot learning
  • Agentic AI Proficiency:
    • Experience in multi-agent orchestration and memory frameworks
    • Workflow design with planningactingreflection loops
    • Integration with APIs, databases, and third-party systems
  • Programming Skills:
    • Python (FastAPI, Flask), JavaScript/TypeScript (Node.js), or similar
    • Familiarity with libraries like Transformers, OpenAI API, LangChain, and Pydantic
  • Cloud & Deployment:
    • Experience with Azure AI Studio, AWS Bedrock, or GCP Vertex AI
    • Containerization (Docker), CI/CD, and MLOps pipelines
  • Data Engineering Understanding:
    • Familiar with ETL, data cleaning, and embedding generation pipelines
  • Soft Skills:
    • Strong problem-solving, innovation mindset, and communication skills
    • Ability to collaborate in agile, cross-functional environments

If you meet the above criteria and are interested in this opportunity, please share your updated resume at hema@tekleaders.com or feel free to reach out for more details.

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