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Senior LLM Engineer

Infocusp Innovations

Ahmedabad / Pune

4+ years

Today

$34.9K–49.4K/yr

Full-time

Onsite

Skills Required

LLM-as-a-Judge

RAG

LangChain

Hugging Face

LangGraph

Python

Pinecone

Weaviate

AWS

GCP

Azure

MLOps

Neo4j

Knowledge Graphs

Description

Senior LLM Engineer role focused on designing and deploying autonomous agentic AI systems in production. Emphasis on scalable applied AI, multi-agent orchestration, and robust, fair systems that deliver organizational value.

Company: Infocusp Innovations

Role: Senior LLM Engineer (3+ years)

Location: Ahmedabad/Pune

Experience

- 3+ years role title requirement
- At least 1 year of experience with LangGraph
- 4+ years of overall experience working on industry projects
- Proficiency in Python
- Experience with LangChain and other agentic orchestration frameworks
- Experience with cloud platforms: AWS, GCP, Azure
- Experience with MLOps practices
- Strong understanding of data privacy, model security, and current AI regulations/frameworks

Responsibilities

- Lead design, development, and deployment of complex autonomous agentic AI solutions in production
- Architect scalable agentic AI systems coordinating LLMs, multi-agent collaboration, and external tool integrations
- Develop, maintain, and optimize AI-driven pipelines for data inference and orchestration
- Integrate agentic AI solutions into enterprise workflows to automate customer service, supply chain, and decision support
- Address system evaluation, debug AI agent workflows,



and ensure compliance with ethical and regulatory guidelines
- Promote security, transparency, fairness, and reliability across deployed systems
- Mentor junior engineers and contribute to cross-functional teams
- Champion adoption of state-of-the-art LLM technologies and practices

Additional Responsibilities

- Design and implement continuous monitoring systems for autonomous AI agents to ensure performance, reliability, ethical guardrails, and optimal cost/latency in production
- Develop and execute scalable LLM evaluation methodologies, including code-based and LLM-as-a-Judge approaches, to assess model quality, safety, and goal alignment

Nice To Have

- Experience with Hugging Face, Neo4j, or knowledge graphs
- Background in autonomous decision-making systems
- Background in anomaly detection
- Background in agile process optimization
- Track record of publishing, presenting, or open-sourcing agentic AI innovations
- Strong problem-solving aptitude
- Collaborative mindset
- Excellent communication skills

More Skills

LLM, agentic AI, multi-agent frameworks, tool calling, API orchestration, ADK, retrieval-augmented generation (RAG), anomaly detection, dynamic process optimization

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