Senior GenAI Python

Senior GenAI Python

Location: Jersey City hybrid preferred. Open to Charlotte or Plano as second option.

About the Role

We are seeking an experienced Senior Python Developer on a contract basis to support our banking technology and Generative AI initiatives. This role involves building secure scalable applications and advanced AI-driven solutions for critical document processing risk analytics and compliance reporting.

Key Responsibilities

• Develop object-oriented applications using Python with expert-level software engineering practices.
• Work with Vector Databases for embedding storage and retrieval optimization.
• Design and implement GenAI lifecycle management and RAG pipelines (chunking embedding retrieval re-ranking summarization) for banking use cases.
• Evaluate and test embedding models and frameworks for performance latency memory and cost optimization.
• Apply prompt engineering hallucination mitigation and grounding techniques for AI solutions.
• Build API-driven applications using FastAPI API Gateway and integrate with MongoDB Redis and front-end frameworks (Angular/React).
• Develop utilities automation frameworks and data pipelines to support AI/ML and GenAI initiatives.
• Create monitoring dashboards and automation scripts for system health and performance.
• Collaborate with DevOps teams using enterprise tools (Git/Bitbucket Jenkins SonarQube Artifactory Ansible).
• Work with large cross-functional teams to deliver secure compliant and scalable solutions.
• Explore Agentic architectures for orchestration and multi-step reasoning in AI workflows.

Required Skills & Experience

• Primary Skill: Python
• Secondary Skills: Vector DB Django Flask FastAPI KAFKA Containerization (OpenShift Docker etc.)
• 5 years of experience in object-oriented programming using Python with strong software development skills.
• Deep experience in GenAI lifecycle management and RAG pipelines.
• Expertise in prompt engineering and AI safety techniques.
• Hands-on experience with MongoDB Redis FastAPI containerization (Docker/Kubernetes) and API integrations.
• Strong knowledge of model testing and evaluation frameworks for performance and reliability.
• Solid understanding of DevOps practices and enterprise tooling.
• Understanding of Kafka queue integration and configurations.
• Ability to deploy python code on to containers using OpenShift and docker etc.
• Ability to work effectively with large cross-functional teams in a regulated environment.

Preferred (Desired) Skills

• Experience with cloud platforms (AWS Azure) and serverless architectures.
• Knowledge of Agentic architectures and orchestration frameworks.
• Exposure to AI/ML use cases in regulatory relations or risk analytics.