Senior/Lead - AI Engineer

5 - 10 years

11 - 15 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

 
  • Design and develop AI agents using frameworks like LangChain, LangGraph, Langflow, and MCP Servers.
  • Fine-tune and optimize large language models (LLMs) such as GPT models, Llama, and others for diverse applications.
  • Implement Retrieval-Augmented Generation (RAG) techniques and integrate vector databases like Qdrant and ChromaDB.
  • Enhance AI agent operations with tools like langfuse and litellm, ensuring robust security and guardrails.
  • Leverage cloud platforms such as AWS, Google Cloud, and Azure for scalable AI solution deployment.
  • Build and manage databases using Postgres, Neo4j, and Clickhouse for efficient data handling.
  • Utilize technologies like Apache Airflow, Redis, Mlflow, Minio, Apache Kedro, and PySpark for workflow optimization and data processing.
The Must Haves
  • 5+ years of experience in AI engineering with proficiency in Python.
  • Expertise in AI frameworks such as LangChain and LangGraph, or similar agentic AI frameworks.
  • Proven experience in fine-tuning large language models (LLMs) and implementing Retrieval-Augmented Generation (RAG) techniques.
  • Strong knowledge of vector databases and AI agent security protocols.
  • Familiarity with cloud platforms and database technologies.
  • Experience with prompt engineering techniques and CI/CD processes.
  • Background in leveraging tools like Apache Airflow, Redis, Mlflow, Minio, and Apache Kedro.
Nice to Haves
  • Experience with PySpark for large-scale data processing.
  • Knowledge of emerging AI frameworks and technologies.
  • Advanced understanding of AI agent optimization and collaborative systems.
  • Exposure to cloud-native tools and services for AI deployment.
  • Familiarity with advanced database architectures and tools.
  • Interest in contributing to open-source AI initiatives.
  • Passion for driving innovation in AI technologies.

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