Description

Job Description:- 

Key Responsibilities

• Lead the design and development of RAG-based and Agentic AI applications.
• Architect end-to-end Generative AI solutions leveraging LLMs, vector databases, and knowledge retrieval systems.
• Develop autonomous AI agents capable of planning, reasoning, tool usage, and multi-step workflow execution.
• Build and optimize AI pipelines for document ingestion, embedding generation, indexing, and retrieval.
• Integrate AI solutions with enterprise applications, APIs, databases, and cloud services.
• Evaluate and fine-tune foundation models for domain-specific use cases.
• Implement prompt engineering, agent orchestration, memory management, and context optimization strategies.
• Establish AI governance, security, monitoring, and responsible AI practices.
• Mentor and guide AI engineers and developers on best practices and emerging technologies.
• Collaborate with product managers, business stakeholders, and data teams to translate requirements into scalable AI solutions.
• Drive technical decision-making, architecture reviews, and code quality standards.

Required Skills

• Strong experience with Python and AI/ML development.
• Hands-on expertise in RAG architectures and knowledge retrieval systems.
• Experience with Agentic AI frameworks such as:
  • LangChain
  • LangGraph
  • AutoGen
  • CrewAI
• Experience with LLMs including:
  • GPT-4
  • Claude
  • Llama
  • Gemini
• Strong knowledge of vector databases such as:
  • Pinecone
  • Weaviate
  • Milvus
  • Chroma
• Experience with cloud platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.
• Strong understanding of REST APIs, microservices, distributed systems, and MLOps.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Experience with CI/CD pipelines and production AI deployments.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• Experience with fine-tuning LLMs and model evaluation frameworks.
• Knowledge of AI observability, guardrails, and responsible AI practices.
• Familiarity with Graph RAG, Knowledge Graphs, and Multi-Agent Systems.
• Relevant cloud or AI certifications

Key Skills

Education

Any Graduate