Artificial Intelligence Engineer

Company Description

Ever Quint Technologies is a digital transformation company dedicated to empowering enterprises through cutting-edge technology. We are currently building a next-generationAI Platform for enterprises , designed to transform business processes at scale. This platform isnot just another wrapper over LLMs it is engineered to accelerate digital transformation rapidly, enabling organisations to automate, optimise, and innovate across all functions.

Our AI platform seamlessly aligns with and extendsHub365, our powerful low-code platform, allowing businesses to unify automation, workflows, and intelligent decisioning through a cohesive ecosystem. At Ever Quint, you will be part of a team pushing the boundaries of AI, low-code engineering, and enterprise modernisation.

Role Description

This is a full-time, on-site role in Chennai for anArtificial Intelligence (AI) Engineer .

As an AI Engineer, you will design, develop, and optimize advanced AI models and enterprise-grade intelligent systems. Your work will involve building scalable AI components, experimenting with LLMs, developing sophisticated prompting frameworks, and integrating models into production-ready applications that power our enterprise AI platform.

Key responsibilities include:

• Designing and implementing AI/ML models, algorithms, and pipelines.
• Developing and optimizing neural network architectures and machine learning systems.
• Building NLP components, LLM-based applications, and advanced prompting workflows.
• Working with embeddings, vector databases, and RAG pipelines for enterprise use cases.
• Collaborating with cross-functional engineering, product, and research teams to deliver integrated AI features within our enterprise platform.
• Conducting research to advance model performance, scalability, and reliability.
• Contributing to the evolution of our AI platform to drive rapid digital transformation for global enterprises.

Qualifications

Core Technical Skills

• Strong understanding ofNeural Networks ,Machine Learning fundamentals , andPattern Recognition .
• Proficiency inPython and solid grounding inComputer Science fundamentals .
• Experience withNatural Language Processing (NLP) tools, libraries, and modern techniques.
• Ability to design, train, and optimizeML/AI models for complex real-world problems.
• Hands-on experience withAI frameworks such as TensorFlow, PyTorch, Keras, etc.
• Experience working withvector databases ,embeddings , andRetrieval-Augmented Generation (RAG) architectures.
• Familiarity withLLMs, transformers, and foundation models including experience with fine-tuning, prompt engineering, and evaluation techniques.
• Advanced Prompting Experience: Ability to craft, optimise, and systematise prompts for LLM-driven workflows, agentic systems, and enterprise-grade automation scenarios.

Core Technical Skills

• Knowledge ofMLOps tools such as MLflow, Weights & Biases, Kubeflow, Airflow, etc.
• Experience deploying models viaDocker , REST APIs, microservices, or cloud platforms (AWS/GCP/Azure ).
• Exposure to buildingproduction-grade AI or data-driven applications is a strong plus.

Soft Skills

• Strong analytical thinking and problem-solving abilities.
• Ability to collaborate effectively across teams in a fast-paced environment.
• Curiosity, creativity, and a passion for continuous learning in AI.