Core Responsibilities Build AI Solutions: Design and deploy Generative AI applications using LLMs, Prompt Engineering, and AI Agents.Orchestrate Workflows: Implement Agentic AI concepts including tool calling, workflow orchestration, guardrails, and human-in-the-loop design.
Manage Knowledge Systems: Implement RAG (Retrieval-Augmented Generation), embeddings, and vector search systems.
Engine Data Pipelines: Build scalable architectures to handle big data processing and complex data workflows.
Collaborate Lifecycle: Work within Agile/DevOps frameworks to handle testing, release, and production support.
Required Technical Skills AI & LLMs: Generative AI, Prompt Engineering, AI Agents, Responsible AI.Programming & Libraries: Advanced Python, Pandas, REST APIs, JSON,



and automation workflows.
Data Expertise: Data handling, Big Data architectures, and data processing.
Frameworks: RAG, embeddings, vector databases, and enterprise knowledge systems.Tools: Jira, Azure DevOps, GitHub, Jenkins, Confluence, SharePoint, or Teams.
Methodologies: SDLC, Agile delivery, DevOps, testing, and release management.
Skilled SkillsMetrics: Ability to define and measure AI adoption, productivity, quality, and business value.
Soft Skills: Robust communication, stakeholder management, training, and problem-solving.

📌 Llm Engineer Bengaluru
🏢 ANP HR Consultancy
📍 Bengaluru