Lead Product Software Engineer

Basic Function A Development Lead plays a crucial role in ensuring the successful delivery of software projects by combining technical expertise with leadership skills to guide and support their team throughout the development lifecycle. They must simultaneously be a developer by staying intimately involved in the technical work of their team, and a leader, helping to guide their team to realize their potential and further the organization’s goals. A lead developer can be thought of as a bridge between an engineering team and management. They are a senior member of the team who can give technical guidance as well as mentor developers on the team. As a manager, a lead developer needs to demonstrate leadership. They encourage their developers to operate at their top potential and work together as a true team. Lead developers may write code themselves, but much of their time will be used in conducting code reviews of components being created by other developers. They ensure and manage day-to-day progress as their team tackles their assigned tasks. They need to have a strong understanding of the overall business priorities for their team and need to be able to advocate for what their team needs to do their job while also making sure their team delivers on what company management expects. As a T4-Lead UI/AI Product Engineer, you will create autonomous AI agents in Python using LangGraph and LangChain and craft effective prompts for generative AI models .In addition, you will be able to develop and maintain UI applications and back-end services that consume agentic AI workflows using TypeScript, React.js, and NodeJS. Your role will involve implementing security best practices, optimizing and improving accuracy of AI agents and e2e performance. You will also lead Agile development processes, peer code reviews, estimation, and sprint planning.  Essential Duties and responsibilities Develop and maintain AI agents in Python . This involves creating autonomous AI agents that can perceive their environment, make decisions, and take actions to achieve specific goals also using large language models (LLMs) and / or a willingness to learn this. Craft effective prompts to guide generative AI models (like ChatGPT) to produce desired outputs. Develop and maintain applications that act as consumer of agentic ai workflows using Typescript, React.js and NodeJS Implement security best practices for web applications, including authentication and authorization mechanisms Experience with observability preferably creating insights into agentic workflows. Optimize UI performance, build responsive applications and ensure cross-browser compatibility Participate in Agile development, peer code reviews, estimation and sprint planning. Develop and maintain scalable backend services, ensuring performance, security, and reliability. Collaborate closely with cross-functional teams to define and implement end-to-end software solutions. Follow coding best practices to ensure modularity, reusability, and maintainability of software components. Regularly optimize existing applications and services to improve performance and user experience. Engage in technical discussions, contribute to knowledge sharing, and promote a collaborative team culture. Stay updated with the latest advancements in software engineering, particularly in genAI and agentic AI technologies. Job Qualifications Education: Bachelor’s degree in Computer Science, Information Technology, MIS, or related field. Experience: Minimum of 8 years of experience in the software industry with 3+ years of experience as technical team leadStrong experience with creating agentic AI in Python. This involves creating autonomous AI agents that can perceive their environment, make decisions, and take actions to achieve specific goals also using large language models (LLMs).Experience in working in agile teams using technologies like Python, Node.JS, React.Js, typescript and different kind of datastores.Full-stack expertise, with a deep understanding of development frameworks, and experience working with modern cloud-based applicationsStrong understanding of software engineering principles, architecture, and best practices.Experience in end-to-end software project delivery, from conception to deployment. Key Skills: Strong experience with creating agents in python with frameworks like LangChain and LangGraph.Cloud & DevOps: Docker, Jira, Git, Rush, (we use infra as code but run containers for local development)Backend & API Integration: Node.js creation of RESTful APIs (and orchestration)Hands-on experience with AWS, Docker, and CI/CD pipelinesWeb Technologies: HTML, CSS, JavaScript, TypeScriptSecurity & Logging: Security Best Practices, ELK, KibanaVersion Control & Build Tools: GitHub/BitBucketAI Code Generation tools like GitHub Copilot Mandatory Skills: Strong experience in the development with Python and Agentic AI workflowsExperience in Typescript and NodeJSProficiency in HTML, CSS, and JavaScriptKnowledge of Security best practices (e.g., authentication, authorization, secure coding)Strong experience in Unit Testing (vitest, Cypress) and Logging frameworks Competencies/Soft skills: Critical thinkers who like engineering challenges.Proficiency in English. Both verbal and written.Working in an international environment with different cultures.Proactive and not afraid to reach out to other teams for help and suggestions.Being able to show and present both problems and great solutions. Supplemental skills Design for accessibility.Work with MS copilot to enhance productivity