AI Engineer Specialist at BetaNXT developing scalable applications and AI solutions for wealth management infrastructure. Leading projects while mentoring junior developers in a hybrid work environment.
Responsibilities
Design, develop, and maintain scalable applications using modern development frameworks such as Angular, ReactJS, Node.js, Java, Python, or Spring Boot.
Mentor a team of junior developers with appropriate technical guidance.
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.
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.
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.
Requirements
Bachelor's degree in Computer Science, Engineering, AI/ML or related field.
8+ 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.
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.
Experience with platforms like AWS Bedrock, SageMaker, Amazon Q, or similar cloud AI services.
Eagerness to dive deep in AI world.
Strong analytical thinking and problem-solving abilities.
Ability to articulate technical concepts in a clear, structured way.
Experience working in agile environments and collaborating with multi-disciplinary teams.
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