Software Engineer II - Gen AI/ Agentic AI

Legal, Compliance, and Controls to operationalize AI capabilities and standardize measurement across CCB sub‑LOBs.

• Automate quality metrics and evolve the learning agenda using internal benchmarks and external best practices.

• Provide executive‑ready insights, recommendations, and status updates on the portfolio roadmap and key learnings.

• Integrate with upstream and downstream systems to ensure seamless tooling and support Transformation objectives.

• Champion quality‑as‑a‑service: prevent errors and drive continuous improvement in validation processes.

• Demonstrate customer obsession by understanding and improving the end‑to‑end customer experience.

Required qualifications, capabilities and skills:

• Formal training in software engineering concepts and 2+ years of applied experience.

• Experience of Gen AI builds, Agents, and MCP.

• Experience in one of the programming languages like Python, typescript, streamlit, UI design. Intermediate Python is a must.

• Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs)

• Hands-on experience with machine learning and deep learning methods.

• Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch).

• Strong programming skills in languages such as Python, R, or Java.

• Ability to design and implement complex algorithms for recommendation systems and trend analysis.

• Experience in data integration and real-time data processing.

• Understanding of marketing and campaign testing processes.

Preferred Qualifications:

• Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
• Experience of all LLM models and their capabilities
• Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
• Prior experience in credit card marketing and in-market testing.
• Excellent communication and presentation skills along with strong interpersonal skills and ability to translate technical concepts into actionable business strategies.
• Demonstrated initiative and creativity with a proven track record in leading AI tool development and implementation.