Python Developer - AI/ML

Everforth Apex
Jersey City, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Jersey City, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
DevOps
Django
Python
MongoDB
Object-Oriented Software Development
Openshift
Redis
Ansible
Software Engineering
SonarQube
React
Flask
Large Language Models
Prompt Engineering
GIT
FastAPI
Containerization
Angular
Kubernetes
Low Latency
Kafka
Bitbucket
Front End Software Development
Api Design
Api Gateway
Data Pipelines
Automation Anywhere
Api Management
Serverless Computing
Docker
Jenkins
Artifactory

Job description

  • 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 DevOps teams using enterprise tools such as Git/Bitbucket, Jenkins, SonarQube, 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.

Requirements

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 (OpenShift, 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 DevOps 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.

About the company

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 ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

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