Principal Engineer - Software Engineering

Job Description

As a Principal Engineer at our company, you will be responsible for leading complex projects, architecting enterprise-grade AI systems, and driving strategic initiatives. Your role will involve collaborating with senior stakeholders, mentoring engineering teams, and ensuring the successful delivery of AI solutions at scale.Your key responsibilities will include:- Understanding customer business needs and actively participating in designing products and value-added AI, GenAI, and agentic AI services.- Ensuring timely delivery and excellent engineering quality across all AI and software deliverables.- Defining AI architecture, coding standards, and best practices for ML, LLM, RAG, and agentic AI systems.- Architecting and implementing advanced AI/ML models for NLP, computer vision, predictive analytics, generative AI, and multi-agent workflows.- Designing distributed, scalable, and high-performance AI systems optimized for reliability and enterprise workloads.- Overseeing MLOps & Deployment activities including model deployment, monitoring, observability, and lifecycle management across cloud and on-prem environments.- Conducting technical workshops and driving architectural alignment across teams.- Mentoring, supporting, and motivating engineering teams to achieve technical excellence in AI/ML, Generative AI, and Agentic AI implementations.- Collaborating with product and business teams to align AI initiatives with organizational goals and the strategic roadmap.- Acting as a subject matter expert for AI/ML, GenAI, and agentic AI domainsadopting and integrating the latest frameworks, tools, and technologies.- Working with QA leads to ensure engineering quality, performance, and release readiness for AI-driven components.- Evaluating emerging AI, GenAI, and agentic AI technologies and leading the adoption of cutting-edge frameworks, including responsible AI practices and guardrails for safe usage.- Engaging in end-to-end product and feature development, including effort estimations, design, coding, testing, and automation.Qualifications required for this role include:- 13 years of software engineering experience with at least 7 years in AI/ML development, including generative AI and agentic AI systems.- Full-time Bachelor and/or masters degree in engineering with a minimum of 60% grade.- Strong programming proficiency in Python with expertise in enterprise-grade AI/ML and LLM applications.- Deep experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, Keras, and modern GenAI/agentic AI frameworks like Hugging Face, LangChain, LangGraph, or AutoGen.- Proficiency in Machine Learning, Deep Learning, NLP, Generative AI, RAG architecture, vector search, and multi-agent workflows.- Experience in developing, deploying, optimizing, and scaling AI/ML, LLM, and agentic AI models across cloud and on-premise environments.- Expertise in data engineering, feature engineering, embedding pipelines, and large-scale data processing.- Hands-on experience with MLOps tools like Docker, Kubernetes, CI/CD, MLflow, and cloud platforms such as AWS/GCP/Azure.- Demonstrated experience leading and executing customer-facing AI solutions, including solution design, model development, deployment, and post-production optimization.- Demonstrated ability and experience in the entire product development cycle, from requirements to deployment and production support.- Experience building enterprise AI platforms and delivering scalable and high-performance services and applications with excellent quality.- Experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) based systems.- Exposure to enterprise-grade AI deployments and compliance frameworks.- Experience with advanced topics like reinforcement learning, generative AI, and multimodal systems.- Publications, patents, or open-source contributions in AI/ML.- Experience leading AI transformations in large organizations.Additionally, if you choose to join our team, you will be part of a global company operating in multiple locations and entities. Our team values diversity and we are committed to providing equal opportunities for all our employees. As a Principal Engineer at our company, you will be responsible for leading complex projects, architecting enterprise-grade AI systems, and driving strategic initiatives. Your role will involve collaborating with senior stakeholders, mentoring engineering teams, and ensuring the successful delivery of AI solutions at scale.Your key responsibilities will include:- Understanding customer business needs and actively participating in designing products and value-added AI, GenAI, and agentic AI services.- Ensuring timely delivery and excellent engineering quality across all AI and software deliverables.- Defining AI architecture, coding standards, and best practices for ML, LLM, RAG, and agentic AI systems.- Architecting and implementing advanced AI/ML models for NLP, comput

Keyskills :
PythonMachine LearningDeep LearningNLPDockerKubernetesAWSGCPAzureGenerative AIRAG architectureMLOps