About Us

At apexanalytix, we’re lifelong innovators Since the date of our founding nearly four decades ago we’ve been consistently growing, profitable, and delivering the best procure-to-pay solutions to the world. We’re the perfect balance of established company and start-up. You will find a unique home here.

And you’ll recognize the names of our clients. Most of them are on The Global 2000. They trust us to give them the latest in controls, audit and analytics software every day. Industry analysts consistently rank us as a top supplier management solution, and you’ll be helping build that reputation.

Read more about apexanalytix - https://www.apexanalytix.com/about/

Quick Take -

As an AI Engineer, you’ll drive the end-to-end development of advanced GenAI applications, including agentic AI agents with autonomous workflows, function calling, and LLM model fine-tuning. This role is for an experienced engineer who excels at building robust, production-grade AI systems and pushing the boundaries of what GenAI can accomplish.

The Work -





• Fine-tune and deploy open-source general purpose LLMs and code-generation models (e.g. Llama 4, qwen2.5) using PEFT, LoRA, QLoRA, instruction tuning, RLHF, etc..
• Design GenAI applications with agentic capabilities—autonomous, goal-driven agents that can plan, reason, and execute multi-step workflows with minimal human input.
• Implement function calling in workflows, enabling models to invoke external tools, APIs, databases, and services to perform actions or access real-time data.
• Build agentic RAG pipelines, where LLMs coordinate data retrieval and reasoning dynamically via retrieval-augmented generation.
• Create and maintain scalable pipelines, including data ingestion, labeling, feature engineering, vector DB management, and MLOps frameworks (MLflow, Kubeflow).
• Containerize applications using Kubernetes and Docker.
• Optimize and monitor model performance, including latency, drift, bias, privacy, and security complian

📌 AI Engineer (Noida)
🏢 apexanalytix
📍 Noida