GenAI Solution Development

• Contribute to developing GenAI infrastructure components, including LLM deployment pipelines, vector databases, API integrations, and agent orchestration frameworks for assigned projects
• Apply prompt optimization and model selection techniques to support the quality, cost-efficiency, and latency of generative AI solutions
• Support the security, reliability, and scalability of deployed AI systems, including monitoring for model drift and system issues on assigned projects
• Develop LLM-powered applications, such as chatbots, document processing systems, content generation tools, and intelligent assistants relevant to financial services
• Build and maintain RAG pipelines, knowledge bases, and data ingestion workflows to ground generative AI outputs in accurate, domain-specific information
• Deploy and monitor GenAI solutions using LLMOps best practices, including evaluation frameworks, prompt versioning, and guardrails
• Use cloud AI platforms and managed LLM services (e.g., Azure OpenAI, AWS Bedrock, GCP Vertex AI) to support the deployment of generative AI solutions
• Contribute to the development of AI agents and multi-agent systems for task automation, decision support, and workflow orchestration
  
  

Project Participation & Collaboration

• Participate in AI/ML projects from data exploration to deployment, owning technical tasks and timelines in coordination with the Head of the AI Center of Excellence
• Conduct experimentation and apply relevant GenAI research (e.g., new LLM architectures, reasoning models, multi-modal models, agentic frameworks) to assigned business use cases
• Prepare documentation and summaries of GenAI capabilities and agent architectures for review by AI Transformation Office leadership and cross-functional teams
• Follow responsible AI principles and support the implementation of guardrails, content moderation, and bias mitigation strategies for assigned GenAI deployments
• Collaborate with business, product, and engineering teams to understand GenAI opportunities and contribute to real-world impact
• Participate in knowledge sharing with peers through code reviews, technical discussions, and best-practice sharing
• Stay current with GenAI research and industry trends relevant to assigned projects, and apply this knowledge to improve personal contribution and team outcomes
  
  

Key Relationships

• Reports to the Head of the AI Center of Excellence and works closely with other members of the AI Transformation Office team
• Collaborates with teams across PASHA Financial Holding to align on GenAI initiatives and follow up on project updates
• May interact with external consultants for research, benchmarking, and process support

• 3-5 years of relevant work experience, including exposure to data science, machine learning, or AI-related projects
• Undergraduate degree or higher in a relevant field
• Proficiency in Azerbaijani and English
• Working knowledge of Python and related libraries (e.g., LangChain, LlamaIndex, Hugging Face, OpenAI SDK)
• Familiarity with API development (e.g., FastAPI), vector databases (e.g., ElasticSearch, Milvus, Qdrant), cloud AI services (e.g., AWS, GCS), version control (e.g., Git/GitHub), notebook environments (e.g., Jupyter), and shell scripting
• Understanding of data preprocessing and working with structured and unstructured datasets, including text/document processing and embedding generation
• Foundational knowledge of large language models (LLMs), prompt engineering, fine-tuning, RAG architectures, multi-modal models, and evaluation frameworks
  
  

Preferred:

• Exposure to LLM-based agents, multi-agent systems, tool use and function calling, or agentic frameworks (e.g., LangChain, LangGraph, PydanticAI)
• Genuine interest in AI research and open-source innovation, with a habit of staying current on developments in the field