• Design, develop, and maintain scalable software applications using Python and modern web frameworks such as Django, Flask, or FastAPI. • Develop and enhance machine learning models, clustering algorithms, and NLP solutions for automated defect analysis and pattern recognition. • Build AI-powered diagnostic systems that intelligently classify, categorize, and route operational tickets. • Design, optimize, and maintain SQL databases, queries, and data models that support large-scale analytics and real-time processing. • Develop and maintain RESTful APIs supporting AI-powered applications and enterprise integrations. • Improve clustering logic to reduce manual intervention in defect categorization and operational workflows. • Collaborate with Product Management, QA, Engineering, and Operations teams to translate business requirements into scalable technical solutions. • Research, evaluate, and implement emerging AI, machine learning, and software engineering technologies that improve product capabilities. • Participate in Agile ceremonies including sprint planning, code reviews, retrospectives, and technical design discussions. • Continuously improve application performance, scalability, maintainability, and software quality. • Document technical designs, AI models, engineering standards, and development best practices.

• Embed pre-trained foundational models (OpenAI, Anthropic, open-source models) into web and enterprise applications using APIs and microservices. • Design and maintain Retrieval-Augmented Generation (RAG) systems, semantic search layers, and vector data workflows. • Construct multi-step AI orchestration chains, agentic workflows, and automated self-repairing coding harnesses. • Build automated evaluation frameworks to quantify AI accuracy, minimize model hallucination, and run error metrics. • Write production-ready backend code, design robust RESTful APIs, and manage data layers. • Implement system safety rules, data privacy guardrails, and prompt tracking to protect user data and shield against vulnerabilities.

• Design and build agentic AI workflows that can plan and execute complex, multi-step tasks using approved agent frameworks; ensure predictable behavior through explicit tool boundaries, permissions, and safety controls. • Build and maintain RAG solutions end-to-end, including ingestion pipelines, chunking/embedding approaches, retrieval strategies, and generation prompts—optimized for relevance, latency, and reliability. • Implement retrieval evaluation and continuous improvement loops by defining measurable quality signals (e.g., retrieval relevance/coverage) and iterating based on observed results and regressions. • Integrate tools and data sources using MCP (Model Context Protocol) or equivalent standard interfaces to provide consistent, secure tool access and reduce one-off integrations. • Deploy and operate AI services on AWS (e.g., Lambda, SageMaker, ECS/EKS) with strong operational practices: logging, monitoring, alerting, and well-understood failure modes. • Engineer robust runtime behavior including error handling, retries, fallbacks, circuit breakers, and guardrails to maintain safe, reliable workflows. • Enable workflow automation and integration by identifying high-value repetitive processes and delivering AI-driven automation layers that integrate into enterprise systems and platforms. • Create and maintain technical documentation for architectures, interfaces, evaluation approaches, and operational runbooks to support maintainability and auditability. • Collaborate cross-functionally with product/business stakeholders to translate workflows into well-scoped deliverables and to validate outcomes against measurable success criteria. • Other duties as assigned.

• Help define the technical direction for applied ML and AI systems that transform complex data into customer value. • Work across product, engineering, data, and ML teams to take ambiguous 0-to-1 opportunities through model development, evaluation, productionization, experimentation, and measurable customer or business impact.