Senior Software Engineer driving design and delivery of complex enterprise applications. Providing technical leadership and mentoring, collaborating with architects and management.
About the role
- 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.
Job title
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