Senior Python Developer – AI​/ML

Senior Python Developer – AI/ML

We are seeking a Senior Python Developer to support 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. The position is based in Jersey City, NJ, and requires onsite presence.

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 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 and API Gateway; integrate with MongoDB, Redis, and front-end frameworks like Angular or 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 Dev Ops teams using enterprise tools such as Git/Bitbucket, Jenkins, Sonar Qube, Artifactory, and 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

Experience:

5+ years of experience in object-oriented programming using Python with strong software development skills. Deep experience in GenAI lifecycle management and RAG pipelines.

Technical

Skills:

The primary skill required is Python. Secondary skills include Vector DB, Django, Flask, FastAPI, Kafka, and containerization (Open Shift, Docker). Hands-on experience with MongoDB, Redis, and API integrations is necessary. Strong knowledge of model testing and evaluation frameworks, along with a solid understanding of Dev Ops practices and enterprise tooling is also required. Candidates must have an understanding of Kafka queue integration and the ability to deploy Python code onto containers.

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.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including Clearly Rateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

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.