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