Principal Software Engineer (AI Platform) - Parametric

Responsibilities: Provide technical leadership and mentoring to a team of engineers Set vision and strategy for the GenAI platform and uphold high standards Lead GenAI projects across requirements, deployment, and maintenance Collaborate with business users and engineering teams to gather requirements and communicate trade-offs Design and maintain platform-level GenAI solutions, including components, governance, and APIs Develop and maintain GenAI applications using prompt engineering, RAG pipelines, fine-tuning, and agentic workflows Assess data availability and feasibility to translate business problems into technical solutions Support AI lifecycle from scoping to deployment and iteration Create evaluation frameworks with metrics, testing, and continuous quality monitoring Apply ML/NLP/LLM expertise to select and optimize foundation models Conduct code and design reviews to ensure best practices Implement and manage AWS cloud deployments for availability and observability Enhance AI applications through data-driven improvements Stay current with GenAI trends and propose system upgrades

Key requirements: 10+ years in object-oriented design and development 3+ years Python development 3+ years leading software development teams Strong communication to both business and technical audiences Experience translating business problems into technical requirements Experience with AI development lifecycle including problem framing, evaluation, and deployment Solid understanding of ML/NLP/transformer architectures and LLMs Proficiency with LLM APIs (OpenAI, Azure OpenAI, Anthropic, open-source) and frameworks (LangChain, LlamaIndex) Familiarity with PyTorch, TensorFlow, or Hugging Face Transformers Experience building cloud-based solutions on AWS Experience with microservices, containers (Docker), REST APIs Experience with RAG architectures, vector databases, and retrieval-augmented workflows Experience with Agile, code reviews, and Git-based workflows Experience with AI coding tools (GitHub Copilot, Claude Code) strong communication leadership and mentoring stakeholder collaboration GenAI platform design prompt engineering RAG pipelines