Senior LLM Engineer

The Senior LLM Engineer will lead the design, development, and deployment of complex, autonomous agentic AI solutions within production environments, working across multi-agent frameworks and orchestrating large language models. The position is for scalable applied AI, with a focus on delivering robust and fair agentic systems that deliver organizational value, autonomy, and operational efficiency.

Responsibilities

• Architect, design, and deploy scalable agentic AI systems that coordinate LLMs, multi-agent collaboration, and external tool integrations through advanced tool calling.
• Develop, maintain, and optimize AI-driven pipelines utilizing frameworks such as LangGraph, ADK, and LangChain, enhancing data inference and orchestration.
• Integrate agentic AI solutions into enterprise workflows, automating complex business functions (e. g., customer service, supply chain, decision support).
• Proactively address system evaluation, debug AI agent workflows, and ensure compliance with emerging regulatory and ethical guidelines.
• Architect and develop conversational AI systems or Retrieval-Augmented Generation (RAG) systems to enhance user interaction.
• Promote security, transparency, fairness, and reliability across all deployed agentic systems.
• Mentor junior engineers, contribute to cross-functional teams, and champion the adoption of state-of-the-art LLM technologies and practices.

Requirements

• B. E. \B. Tech\B. S. and Ph. D. candidates' entries with significant prior experience in the aforementioned fields will be considered.
• 5\+ years of overall experience working on industry projects.
• At least 1 year of experience working with agentic AI frameworks.
• Expertise in prompt engineering techniques, including but not limited to chain of thoughts, tree of thoughts, guardrails, and zero-shot or few-shot prompting.
• Expertise in designing and building LLM and agentic evaluation for enterprise business solutions.
• Knowledge of open-source and proprietary LLMs, such as GPT, Claude, LLaMA, and Mistral.
• Proficiency in the Python programming language, with experience in libraries such as NumPy and Pandas.
• Deep proficiency in designing and deploying multi-agent frameworks and sophisticated tool-calling or API orchestration pipelines.
• A proven ability to work in a cross-discipline environment in defined time frames.
• Experience working with cloud-based systems such as Google Cloud Platform (GCP) or Amazon Web Services (AWS) is highly desirable.

This job was posted by Harshika Dhiliwal from InFoCusp Innovations.