| Skills & Requirements Description | Required / Preferred | Years of Exp. | Candidate Experience (Please Fill) |
| US IT Experience: IT experience working in the US for US companies. | Required | 10+ | |
| Banking/Finance: Recent experience working for a bank or brokerage house (Since 2019). | Required | 4+ | |
| Chatbot Prompt Design: Experience with prompt design and implementation of chatbot applications. | Required | 7+ | |
| Programming: Development utilizing Python, C/C++, Go, Java, and Spark. | Required | 7+ | |
| Python Applications: Strong past hands-on experience building and maintaining large-scale Python applications. | Required | See Exp. | |
| Deep Learning Frameworks: Experience with PyTorch and/or TensorFlow. | Required | 7+ | |
| Cloud Infrastructure (AWS): Recent hands-on experience with AWS AI/ML deployment (ECS/EKS, Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and IaC (Terraform/CloudFormation). | Required | 5+ | |
| Data Pipelines: Building data pipelines for both structured and unstructured data processing. | Required | 7+ | |
| API & NLP Integration: Developing APIs and integrating NLP or LLM models into software applications. | Required | 7+ | |
| Agentic AI & LLMs: Excellent and recent hands-on experience with agentic AI concepts and Large Language Models. | Required | Recent | |
| Agent Frameworks: Excellent and recent hands-on experience with frameworks such as LangChain, CrewAI, or AutoGen. | Required | Recent | |
| Version Control: Excellent and recent hands-on experience with GIT. | Required | Recent | |
| Advanced LLM Implementation: Orchestration, RAG, and tool-using agents (vector retrieval, function calling, secure tool execution). | Required | Recent | |
| LLM Variety: Experience with various commercial and open-source LLMs (e.g., OpenAI, Gemini, Llama, Qwen, Claude). | Required | Exp. | |
| MLOps: Recent hands-on experience with MLOps tools ensuring seamless integration of ML models into production. | Required | Recent | |
| Model Fine-Tuning: Recent hands-on experience with techniques such as DPO and RLHF. | Required | Recent | |
| Communication: Ability to communicate ideas and results to stakeholders and leadership clearly. | Required | N/A | |
| Domain Knowledge: Knowledge of financial products/services including trading, investment, and risk management. | Required | N/A |