Principal Software Engineer

Applies the principles of software engineering to the design development maintenance testing and evaluation of software and computer systems. Works cross-functionally to understand business requirements evaluate alternative approaches and ensure software and systems are designed to facilitate ease of use and seamless integration into the target environments. Incorporates state-of-the-art concepts tools and practices to facilitate system functionality security and continuous improvement.

The Principal Engineer role is an individual contributor role in the software product development organization who understands products relevant domains technologies and its applications.

We are seeking highly experienced AI/ML Software Engineer to lead complex projects architect enterprise-grade AI systems and drive strategic initiatives. Collaborate with senior stakeholders mentor engineering teams and ensure successful delivery of AI solutions on a scale.

• Understand customer business needs and actively participate in designing products and valueadded AI GenAI and agentic AI services.
• Ensure timely delivery and excellent engineering quality across all AI and software deliverables.
• Define AI architecture coding standards and best practices for ML LLM RAG and agentic AI systems.
• Architect and implement advanced AI/ML models for NLP computer vision predictive analytics generative AI and multiagent workflows.
• Design distributed scalable and highperformance AI systems optimized for reliability and enterprise workloads.
• Oversee MLOps & Deployment activities including model deployment monitoring observability and lifecycle management across cloud and onprem environments.
• Review requirements design and code; conduct technical workshops and drive architectural alignment across teams.
• Mentor support and motivate engineering teams to achieve technical excellence in AI/ML Generative AI and Agentic AI implementations.
• Collaborate with product and business teams to align AI initiatives with organizational goals and strategic roadmap.
• Act as a subject matter expert for AI/ML GenAI and agentic AI domainsadopting and integrating the latest frameworks tools and technologies.
• Work with QA leads to ensure engineering quality performance and release readiness for AIdriven components.
• Evaluate emerging AI GenAI and agentic AI technologies and lead adoption of cuttingedge frameworks including responsible AI practices and guardrails for safe usage.
• End to end Product & feature development including effort estimations design coding testing and automation
• Understand customers business needs product non-functional requirements and drives estimation of development tasks
• Designs develops tests documents and drives the implementation of moderately to highly complex systems considering impact on the broader landscape systems and components.
• Ensures timely delivery and excellent quality of the deliverables for the product
• Able to represent the product team externally and /or other external technology body with confidence
• Acts as subject matter expert for the domain technologies and also able to adapt latest technologies frameworks and tools quickly
• Reviewing requirements design code use cases unit tests within team
• Able to resolve technical problems and help team members with technical challenges
• Help assess team / engineering skills & capabilities and mentor motivate team members for technical excellence
• The ability to work in global environment partner effectively with cross-functional teams and manage multiple priorities and deliverables concurrently

• Collaborates with senior members of development departments to share experiences and knowledge and to identify ways to simplify and integrate products

Required Qualifications

• 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 enterprisegrade AI/ML and LLM applications.
• Deep experience with ML frameworksTensorFlow PyTorch scikitlearn Kerasand modern GenAI/agentic AI frameworks such as Hugging Face LangChain LangGraph or AutoGen.
• Proficiency in Machine Learning Deep Learning NLP Generative AI RAG architecture vector search and multiagent workflows.
• Experience 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 largescale data processing.
• Handson experience with MLOps toolsDocker Kubernetes CI/CD MLflowand cloud platforms (AWS/GCP/Azure).

• Demonstrated experience leading and executing customerfacing AI solutions including solution design model development deployment and postproduction optimization.

• Demonstrated ability and experience in the entire product development cycle: from requirements effort estimation design implementation test and to deployment and production support

• Strong problem-solving skills and the ability to think outside the box

  Preferred Qualifications

• Experience building enterprise AI platforms

• Experience in delivering scalable and high-performance services and applications with excellent quality
• Experience with LLMs prompt engineering and retrieval-augmented generation (RAG) based system.

• Knowledge of GPU optimization ONNX TensorRT and model compression techniques.

• Exposure to enterprise-grade AI deployments and compliance frameworks.

• Experience with advanced topics like reinforcement learning generative AI and multimodal systems.

• Publications patents or opensource contributions in AI/ML

• Experience leading AI transformations in large organizations