tive AI Engineer

3 days ago

Indore, India AIRA Full time

Job Profile - Senior Generative AI & Agentic AI Engineer

Location - Indore

Type - Full-time

About the Role

We are looking for a highly skilled and innovative Generative AI & Agentic AI Engineer with strong conceptual understanding and hands-on implementation expertise. This role requires deep proficiency in Python development, API design, data handling with Pandas, and modular coding practices. The ideal candidate will have proven experience in building and deploying complex Retrieval-Augmented Generation (RAG) solutions and will work closely with cross-functional teams to design, develop, and implement AI-powered solutions.

Key Responsibilities

  • Design, develop, and implement advanced Generative AI and Agentic AI solutions.
  • Lead complex RAG (Retrieval-Augmented Generation) implementations, ensuring optimal accuracy, scalability, and performance.
  • Develop, maintain, and optimize Python-based applications following best coding practices and modular design principles.
  • Create, manage, and integrate RESTful APIs for seamless data and AI service interactions.
  • Work extensively with Pandas for large-scale data processing, transformation, and analysis.
  • Collaborate with Data Science, ML, and Product teams to design AI-driven features.
  • Continuously research emerging AI trends, tools, and best practices to keep solutions at the cutting edge.
  • Participate in code reviews, provide mentorship, and maintain high development standards.

Required Skills & Qualifications

  • Strong conceptual and practical knowledge of Generative AI & Agentic AI architectures and frameworks.
  • Proven experience implementing complex RAG solutions in production environments.
  • Expert-level proficiency in Python (modular coding, best practices, and performance optimization).
  • Experience in API design and development (RESTful, FastAPI, Flask, or similar).
  • Hands-on experience with Pandas for data processing and analysis.
  • Strong problem-solving and debugging skills.
  • Excellent communication skills ability to clearly articulate technical concepts to both technical and non-technical stakeholders.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.

Preferred Skills

  • Experience with LangChain, LangGraph, CrewAI, or similar AI orchestration frameworks.
  • Knowledge of vector databases (e.g., Pinecone, Weaviate, Milvus, ChromaDB).
  • Familiarity with LLM fine-tuning and prompt engineering.
  • Experience deploying AI solutions to cloud platforms (AWS, Azure, GCP).
  • Exposure to MLOps and production-grade AI deployment pipelines.

Interested candidates can share their cv

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