Python Developer
Job in
Jersey City, Hudson County, New Jersey, 07390, USA
Listed on 2026-03-01
Listing for:
Programmers.io
Full Time
position Listed on 2026-03-01
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Python
Job Description & How to Apply Below
We are looking for a skilled Python Engineer with strong experience in AI/ML with exposure to Generative AI (GenAI) systems, along with backend engineering expertise. The role involves building scalable APIs, AI/ML and GenAI-powered services, and data-driven platforms using modern cloud-native and Dev Ops practices.
Key Responsibilities- Design, develop, and maintain server-side applications using Python.
- Build and expose RESTful APIs using modern frameworks.
- Develop, fine-tune, and integrate AI/ML, NLP, and GenAI models into production systems.
- Work with asynchronous and functional programming paradigms.
- Implement data processing and feature engineering pipelines using Python libraries.
- Design and interact with relational and No
SQL databases. - Build event-driven services using message queues and streaming platforms.
- Containerize applications using Docker and deploy using Kubernetes/Open Shift.
- Collaborate with Dev Ops teams to support CI/CD pipelines.
- Contribute to automation and workflow platforms, particularly in financial operations.
Skills & Qualifications
- 2–5 years of experience in advanced Python development.
- Strong experience in server-side engineering and API development.
- Hands-on experience with AI/ML, NLP, and Generative AI (GenAI) frameworks and libraries.
- Solid understanding of AI/ML fundamentals, including Deep Learning, Large Language Models (LLMs), and prompt engineering.
- Experience with GenAI use cases such as text generation, summarization, embeddings, and retrieval-augmented generation (RAG).
- Experience with relational (SQL) and/or No
SQL databases. - Exposure to containerization, orchestration, and CI/CD tools.
- Experience with financial operations workflows or automation platforms.
- Experience working in cloud-native and distributed systems.
- Familiarity with deploying and scaling GenAI workloads in production environments.
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