Python Developer

Job#: 3040481 Python Developer Location: Jersey City, New Jersey (Onsite) Role Overview We are seeking an experienced Senior Python Developer 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 Qualifications 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. Ability to work effectively with large cross‑functional teams in a regulated environment. Technical Skills Primary Skill: Python Secondary Skills: Vector DB, Django, Flask, FastAPI, KAFKA, Containerization (OpenShift, Docker) Preferred Qualifications 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. Equal Opportunity Employer Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. #J-18808-Ljbffr