Senior Gen AI Developer

The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Responsibilities:

• AI Solution Development: Collaborate with business analysts and product managers to understand requirements and translate them into technical designs. Lead the hands-on development of high-quality, scalable AI solutions, including Large Language Models (LLMs), Natural Language Processing (NLP), and machine learning pipelines.
• Hands-On Engineering & Implementation: Design, build, and deploy robust AI systems and agentic solutions. Implement and optimize Retrieval-Augmented Generation (RAG) pipelines, integrating with internal knowledge bases, market data, and document repositories.
• Data Integration & Modeling: Work closely with data engineering teams to integrate structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data sources. Develop and maintain feature engineering pipelines for model training and evaluation.
• Prototyping & Productionizing: Rapidly develop proofs-of-concept (PoCs) to validate new ideas and technologies. Take successful prototypes and re-engineer them into robust, production-ready tools and features that can be integrated into banker workflows.
• Technical Excellence & Compliance: Implement AI solutions that adhere to the firm's standards for security, compliance, and model governance. Ensure code quality, maintainability, and comprehensive documentation for all developed systems.
• Mentorship & Collaboration: Act as a technical mentor for junior engineers, providing guidance on best practices in AI/ML development. Foster a culture of technical excellence and collaborative problem-solving within the team.

Must have Skills & Qualifications:

• Must-Have Skills & Experience

  
  
  
• 6-8 years of professional, hands-on experience in software engineering, with a significant focus on data science and AI/ML application development.
• Proven track record of building and deploying machine learning models and AI-powered applications into production environments.
• Strong, hands-on technical expertise in machine learning (ML), natural language processing (NLP), large language models (LLMs), and retrieval-augmented generation (RAG).
• Proficiency in building applications using modern AI frameworks and MLOps practices.
• Experience working with both structured and unstructured data, and building data processing pipelines.
• Familiarity with the software development lifecycle in a corporate or enterprise environment, including experience with version control, CI/CD, and testing.
• Excellent problem-solving skills and the ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Education:

• Bachelor’s degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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