AI Engineer developing AILLM solutions with expertise in Azure cloud. Working in a collaborative environment to solve complex technical problems in banking.
Responsibilities
Develop scalable AILLM based solutions using Python, LangChain, LangGraph and related agentic frameworks
Build, optimize and deploy agentic AI workflows, multi-agent architectures and retrieval augmented systems
Contribute to design and implementation of LLM observability, evaluation workflows, prompt monitoring and model performance instrumentation
Collaborate with Data Scientists and AI Engineers to integrate machine learning models into production systems
Work with Azure cloud services to build secure, resilient and scalable data/AI pipelines (Azure OpenAI, Azure Functions, Azure Storage, AKS, etc.)
Participate in architectural discussions, technical design reviews and code reviews
Support continuous improvement through innovation, experimentation and rapid prototyping
Work closely within a cross-functional and globally distributed team while contributing to team culture, knowledge sharing and engineering best practices
Requirements
Strong hands-on experience as a Python Developer
Experience in AI engineering with practical exposure to building LLM based or agentic AI solutions
Familiarity with LangChain, LangGraph or similar agentic LLM orchestration frameworks
Understanding of LLM observability evaluation metrics, prompt evaluation, guardrails and model lifecycle management
Experience working with Azure Cloud services and cloud native application development
Good understanding of data structures, algorithms, integration patterns and API based systems
Strong team player with the ability to learn quickly, adapt to new tools/technologies and contribute in a greenfield environment
Benefits
Employee wellbeing programs
Mental Health Champions
Countless training and development opportunities
Access to external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications
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