Senior AIML Engineer AI Systems & Applied Intelligence

Devsinc is hiring a highly skilled Senior AI Engineer with 46 years of experience in designing building and deploying production-grade AI systems. The ideal candidate combines strong machine learning fundamentals with hands-on expertise in Large Language Models (LLMs) RAG architectures and scalable ML infrastructure.

This role requires ownership of the end-to-end AI lifecycle from research and experimentation to deployment optimization and monitoring while contributing to architectural decisions mentoring engineers and delivering applied intelligence solutions that create measurable business impact.

Responsibilities

• Design develop and deploy AI/ML and LLM-based models to solve real-world business problems.
• Build scalable training fine-tuning evaluation and inference pipelines for production-ready AI systems.
• Design and implement RAG pipelines embedding systems and retrieval-based architectures.
• Optimize model performance through experimentation structured evaluation hyperparameter tuning and advanced optimization techniques (quantization batching).
• Develop APIs microservices and real-time inference services to expose AI capabilities in production environments.
• Implement and manage MLOps workflows including experiment tracking model versioning CI/CD integration monitoring and lifecycle management.
• Contribute to system architecture discussions ensuring scalability reliability security and performance.
• Deploy AI systems on cloud platforms (AWS Azure GCP) with cost and performance optimization considerations.
• Research emerging AI technologies such as LLMs multimodal AI and vector search and evaluate their practical applicability.
• Mentor junior engineers and promote best practices in AI engineering and MLOps.
• Document technical designs workflows experiments and project outcomes for internal knowledge sharing.

• Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science or a related field.
• 46 years of professional experience in AI/ML engineering roles.
• Strong proficiency in Python with hands-on experience in PyTorch and/or TensorFlow.
• Solid understanding of machine learning algorithms neural networks NLP computer vision feature engineering and model optimization.
• Hands-on experience with Large Language Models (LLMs) RAG pipelines embeddings vector databases and fine-tuning techniques (LoRA PEFT) or advanced prompt engineering.
• Experience deploying AI models in production environments (APIs microservices real-time inference systems).
• Experience implementing MLOps practices using tools such as MLflow SageMaker Vertex AI Weights & Biases Docker Kubernetes and CI/CD pipelines.
• Hands-on experience with cloud platforms (AWS Google Cloud) for AI solution deployment.
• Understanding of distributed systems GPU acceleration and scalable ML infrastructure is a plus.
• Leadership & Growth-Oriented: Capable of guiding teams owning technical direction and continuously learning and adapting to emerging AI technologies.
• Excellent Communication: Strong verbal and written communication skills with the ability to effectively engage in client-facing roles and cross-functional collaboration.

Required Experience:

Senior IC