Principal Engineer, Applied AI leading design and implementation of AI-driven solutions in banking. Collaborating with leaders on complex technical projects and shaping AI/ML strategy.
Responsibilities
Drive technical excellence and innovation by leading the design and implementation of robust software solutions.
Provide mentorship to engineering teams and foster cross-functional collaboration.
Contribute to strategic planning to ensure the delivery of high-quality solutions aligned with business objectives.
Collaborate with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions.
Identify and incorporate new technologies, methodologies, and industry practices into the engineering process.
Requirements
A Bachelor’s degree (or above) in computer science, engineering, mathematics, or a related discipline.
12+ years of experience in Software Engineering, Data Science, or Analytics with 5+ years of experience in AI/ML engineering or related fields.
Demonstrated experience designing and implementing highly scalable, production-grade AI/ML platforms and systems.
Deep understanding of Large Language Models (LLMs), LLM training & fine tuning.
Hands-on experience in GenAI and AgenticAI frameworks such as LangGraph/LangChain, CrewAI, Strands SDK, Google ADK, etc.
Familiarity on working with MCP and A2A protocols.
Expertise in various AI/ML techniques, such as deep learning, natural language processing, reinforcement learning, and large language models.
Proficiency in Python, R, or other programming languages for data analysis and AI/ML development.
Experience with DevOps and CI/CD tools and practices, such as Git, Jenkins, Docker, Kubernetes, etc..
Benefits
Professional development opportunities
Mentoring and coaching to junior and mid-level engineers
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