Lead Associate, Product Engineering

Level/Function: Lead Associate, Product Engineering Title: Lead Associate, AI About BetaNXT BetaNXT is a leading provider of frictionless wealth management infrastructure, real-time data solutions, and an enhanced advisor experience. We invest in platforms, products, and partnerships to accelerate growth for the ecosystem we serve. Our connective approach empowers our clients to deliver a comprehensive, end-to-end advisor and investor experience. BetaNXT is a premier provider of technology, data, and operations as services to a rich client base of wealth managers, institutional wealth firms, and digital brokers. It is comprised of three industry-leading businesses which, combined, provide end-to-end solutions across the investment lifecycle. Duties & Responsibilities Overview of the AI Engineer We are seeking a hands-on Full Stack AI Engineer to join our team and contribute to design, architect & build AI solutions that streamline internal processes as well as enable product innovations. You'll work alongside architects ,peer developers and product teams to apply AI/ML technologies to real-world business problems, helping us leverage our automation and data platforms to improve operational efficiency and client value. This is a hybrid position based out of our Bangalore India office location. Core Software Development Design, develop, and maintain scalable applications using modern development frameworks such as Angular, ReactJS, Node.js, Java, Python, or Spring Boot. Build reusable components, APIs, and services aligned with enterprise coding standards. Contribute to solution architecture, system integrations, and overall platform modernization initiatives. Collaborate with product teams and architects to translate business requirements into technical implementations. AI & Automation Integrate AI/ML capabilities into existing or new applications Assist in building lightweight AI prototypes and proof-of-concepts for internal use cases. Support model lifecycle tasks where required (basic training, evaluation, deployment, monitoring). Apply responsible AI principles ensuring data privacy, governance, and explainability. Collaboration & Delivery Work with cross-functional teams to understand use cases, refine requirements, and ensure seamless delivery. Support internal stakeholders by automating processes and reducing manual effort through development + AI-driven enhancements. Participate in agile ceremonies, release planning, and project execution aligned with enterprise objectives. Required Skills & Experience Software Development ( Full stack Engineering experience) Bachelor's degree in Computer Science, Engineering, AI/ML or related field. 4+ years of strong software development experience in at least two of the following: Angular Node.js ReactJS Java / Spring Boot Python Strong understanding of system design, microservices, APIs, CI/CD, and development best practices. AI/ML Exposure 1–3 years of hands-on experience working with AI/ML components (not necessarily as a primary role). Familiarity with TensorFlow, PyTorch, scikit‑learn, or NLP tools. Exposure to GenAI concepts such as LLMs, embeddings, vector search, or RAG.