About the Role
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.\Phd 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 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.
Location:
Ahmedabad/ Pune
