GenAI Engineer (Python)

Job Description

Key Responsibilities

• Design, develop, and deploy Generative AI models (LLMs, transformers, embeddings, RAG pipelines, etc.) tailored for financial services use cases.
• Build robust Python-based frameworks for AI/ML workflows, data preprocessing, model training, and inference pipelines.
• Implement Retrieval-Augmented Generation (RAG) solutions for knowledge extraction, document summarization, and intelligent query answering.
• Fine-tune pre-trained models (OpenAI, Hugging Face, LangChain, LlamaIndex, etc.) for finance-specific tasks.
• Collaborate with data scientists, solution architects, and business stakeholders to translate financial requirements into AI-powered applications.
• Optimize models for scalability, latency, and cost-efficiency in cloud or on-prem environments (AWS, Azure, Google Cloud Platform).
• Ensure compliance with data privacy, security, and regulatory standards in financial services.
• Research and evaluate new GenAI technologies, frameworks, and tools for continuous innovation.

Required Qualifications

• Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or related field.
• Hands-on experience in AI/ML engineering, with at least 2+ years in Generative AI/NLP.
• Strong programming skills in Python and libraries/frameworks like PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex.
• Hands-on experience with LLM fine-tuning, prompt engineering, embeddings, and vector databases (Pinecone, Weaviate, FAISS, Milvus).
• Proficiency in cloud platforms (AWS Sagemaker, Azure OpenAI, Google Cloud Platform Vertex AI).
• Solid understanding of financial data, compliance, and regulatory constraints in AI applications.
• Strong problem-solving and communication skills, with the ability to explain complex AI solutions to non-technical stakeholders.

Preferred Qualifications

• Experience working with large-scale financial datasets (structured, unstructured, transactional).
• Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
• Knowledge of data governance, security, and ethical AI practices in the finance industry.
• Prior experience delivering GenAI-powered chatbots, copilots, or knowledge assistants.
  
  Equal Opportunity Employer
  We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.