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Gen AI Engineer

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: The Matlen Silver Group, Inc.
Full Time position
Listed on 2026-10-29
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Python, Backend Developer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60 - 68 USD Hourly USD 60.00 68.00 HOUR
Job Description & How to Apply Below
Job Title:

Gen AI Engineer

Duration: 18 Month W2 Contract

Location:
Jersey City | NYC

Required Pay Scale: $60-$68/hour

Job Description:

Senior Python Developer / AI Engineer - GenAI Platform

Role Overview

We are seeking a highly skilled Senior Python Developer / AI Engineer to design, develop, and implement a GenAI platform and associated business use cases. This role is primarily focused on strong software engineering, hands-on Python development, and building production-ready applications that integrate AI-powered solutions.

The ideal candidate will have 7+ years of professional Python development experience
, strong software engineering fundamentals, and the ability to independently write high-quality code without relying on AI assistance during technical assessments. A deep understanding of AI theory is not required; familiarity with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration concepts is beneficial. Candidates must demonstrate strong problem-solving, critical-thinking, and independent engineering skills. Production-grade software development expertise is the top priority, with AI-specific knowledge considered a secondary skill that can be developed on the job.

Key Responsibilities
  • Design, develop, and oversee the end-to-end implementation of the GenAI platform and related business use cases.
  • Build scalable, resilient, maintainable, and reusable application architectures.
  • Develop production-ready Python applications and integrate AI-powered solutions into business workflows.
  • Design and implement software integration solutions involving AI platforms, applications, and supporting infrastructure.
  • Lead technical delivery and collaborate with cross-functional teams to deliver high-quality solutions.
  • Drive Software Development Life Cycle (SDLC) automation and initiatives focused on platform performance, scalability, and resiliency.
  • Research, prototype, and evaluate emerging AI technologies and potential solutions.
  • Apply software engineering best practices for code quality, architecture, error handling, testing, and production support.
  • Mentor team members on software design, coding standards, and development best practices.
Required Qualifications
  • 7+ years of professional Python development experience. Internships do not count toward the required experience.
  • Strong hands-on coding skills and the ability to develop solutions independently without AI assistance.
  • Strong understanding of Python fundamentals, including data structures, error handling, and application architecture.
  • Demonstrated experience developing, deploying, and maintaining production-grade applications.
  • Experience building APIs and backend services using FastAPI
    .
  • Experience with Unix/Linux environments and scripting.
  • Experience working with relational and No

    SQL databases.
  • Strong problem-solving, analytical, and critical-thinking skills.
  • Ability to work independently and thrive in a fast-paced, collaborative environment.
  • Strong understanding of software development best practices, including writing clean, maintainable, scalable, and reliable code.
Preferred Qualifications - AI / GenAI
  • Understanding of Large Language Model (LLM) concepts and AI-powered application development.
  • Familiarity with Retrieval-Augmented Generation (RAG), including retrieval patterns and orchestration concepts.
  • Knowledge of agentic AI and multi-agent systems.
  • Familiarity with Google Agent Development Kit (ADK).
  • Understanding of Model Context Protocol (MCP).
  • Knowledge of event-driven agent workflows and orchestration patterns.
  • Exposure to machine learning frameworks such as Tensor Flow or PyTorch.
  • Experience prototyping or integrating AI technologies into production applications.
Ideal Candidate Profile

The successful candidate will be a…

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