• Design and develop AI-powered applications, integrating machine learning and generative models into enterprise-grade software products and internal tools. • Own the full software development lifecycle (SDLC), including unit, integration, and end-to-end testing. • Frontend: Develop modern, intuitive interfaces for AI applications (React/Next.js, TypeScript, or equivalent) with a strong focus on usability, accessibility, and AI explainability. • Backend: Implement scalable and secure back-end services (FastAPI, Flask, or Node.js) to expose AI capabilities (LLMs, RAG pipelines, AI agents) through standardized APIs. • Translate data science prototypes and GenAI models (LLMs, diffusion models, transformers) into scalable applications or services with intuitive user interfaces and reliable back-end infrastructure. • Collaborate with insight leaders and business stakeholders on requirements gathering, project documentation, and development planning. • Partners with MLOps and GenAIOps teams to deploy, monitor, and continuously improve AI applications within standardized CI/CD pipelines. • Design and implement integrations using REST, GraphQL, and gRPC; work with cloud-based AI APIs (Azure, AWS, GCP) and enterprise data sources. • Integrate cloud-native AI services (AWS Bedrock, Azure OpenAI) and open-source frameworks (LangChain, LangGraph) into enterprise environments. • Monitor application performance and user adoption, iterating on models and workflows to enhance usability and business impact. • Optimize application performance, infrastructure efficiency, and LLM utilization. • Document architectures, APIs, and deployment processes to ensure transparency, reusability, and maintainability.

• Develop full-stack applications and workflows with modern architectures, following 12-factor app principles • Build and maintain backend services in Python • Design and implement RESTful APIs and containerized services for application delivery • Create intuitive, high-performance front-end experiences using frameworks like React, Vue.js, or Angular • Collaborate closely with Solutions Architects to ensure application design aligns with business and technical requirements • Implement cloud-native solutions on Google Cloud or Azure, including containerization, async events, and cloud managed services • Work with relational and NoSQL databases (MySQL, PostgreSQL, MongoDB), including schema management and database schema migration tools • Apply testing frameworks and best practices to ensure application quality, performance, and scalability • Participate in Agile ceremonies—daily scrums, sprint planning, architecture/design sessions • Contribute to automation, CI/CD strategies, and release management • Ensure code quality, security, and adherence to non-functional requirements

• Own the vulnerability management lifecycle and champion secure engineering • Drive the full vulnerability process from discovery and risk prioritization to coordinating remediation • Lead dynamic testing efforts, including automated DAST scans and targeted penetration tests • Partner with DevOps to secure infrastructure-as-code (IaC) and container deployments • Write scripts (Python/Bash) to automate workflows and correlate security data • Act as a technical Subject Matter Expert (SME) for developers

• Work with manufacturing giants to deploy optimization strategies • Collaborate with teams to increase efficiency in operations • Provide on-site instruction to improve manufacturing processes