We are looking for an experienced Principal Software Development Engineer AI (SDE IV) to lead the design, development, and delivery of enterprise-grade AI solutions.

The ideal candidate will have deep expertise in Agentic AI, Large Language Models (LLMs), and MLOps, along with a strong track record of leading technical teams and delivering AI-driven products from concept to production.

This role combines hands-on technical leadership with responsibility for driving the organization's AI Center of Excellence (CoE).

Key Responsibilities

Lead the design, development, and deployment of scalable AI/ML solutions and enterprise-grade Agentic AI applications.
Define and execute the technical roadmap for the AI Center of Excellence, aligning AI initiatives with business objectives.
Architect and implement LLM-powered applications, AI agents, RAG pipelines, and orchestration frameworks.
Build and optimize ML/DL models, including training, fine-tuning, evaluation, and production deployment.
Establish MLOps best practices for model versioning, deployment, monitoring, governance, and lifecycle management.
Lead rapid prototyping, proof-of-concepts (PoCs), and pilot implementations for emerging AI use cases.
Provide technical leadership, mentor AI engineers, and conduct architecture and code reviews.
Collaborate with product, engineering, and business stakeholders to translate requirements into scalable AI solutions.
Ensure AI solutions meet performance, reliability, security, and scalability standards.
Evaluate emerging AI technologies and recommend innovative approaches to enhance enterprise AI capabilities.

Required Skills & Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field.
6+ years of overall software development experience, including 5+ years of hands-on experience in AI/ML solution design and development.
Proven experience leading AI engineering teams and managing multiple technical projects.
Strong expertise in Agentic AI architectures, LLMs, RAG, prompt engineering, and AI orchestration frameworks such as LangGraph, LangChain, or similar.
Hands-on experience with Python and AI/ML frameworks including PyTorch, TensorFlow, and Hugging Face.
Strong understanding of MLOps, model deployment, monitoring, experiment tracking, and AI lifecycle management.
Experience developing and deploying AI solutions on AWS, Azure, or GCP.
Knowledge of vector databases, embeddings, and enterprise AI integration patterns is preferred.
Excellent problem-solving, communication, stakeholder management, and technical leadership skills.

(ref:hirist.tech)

Principal Software Development Engineer - AI/ML Solutions