AI Engineer

  • Jersey City, NJ
  • Posted 10 hours ago | Updated 10 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 1 Month(s)

Skills

API
Algorithms
Amazon Web Services
Analytical Skill
Artificial Intelligence
C
C++
Collaboration
Communication

Job Details

We are looking for a AI Engineer for our client in Jersey City, NJ / Dallas TX / New York City, NY
Job Title: AI Engineer
Job Location: Jersey City, NJ / Dallas TX / New York City, NY Job Type: Contract Job Description: Pay Range: $45hr -$50hr
Requirement/Must Have:
  • 5+ years of software development experience using Python, C/C++, Go, or Java.
  • Strong hands-on experience building and maintaining large-scale Python applications.
  • 3+ years of experience designing and deploying production-grade ML systems.
  • Practical experience with Large Language Models (LLMs), including API integration, prompt engineering, and fine-tuning.
  • Experience building applications using RAG pipelines and tool-using agents.
  • Strong understanding of commercial and open-source LLMs.
  • Solid foundation in applied statistics, machine learning concepts, algorithms, and data structures.
Experience:
  • Experience deploying and monitoring ML models in production.
  • Experience building data processing pipelines and evaluation frameworks.
  • Experience with agent-based architectures and secure tool execution.
  • Experience collaborating with engineering and operations teams to solve production challenges.
Responsibilities:
  • Design and implement agentic AI systems with structured reasoning, retrieval, and secure action execution.
  • Build evaluation frameworks for foundational and open-source LLMs.
  • Develop RAG pipelines, including data validation and feedback mechanisms.
  • Integrate AI agents with production runtime systems for diagnostics, remediation, and reporting.
  • Implement safety, governance, and compliance guardrails, including validation and fallback mechanisms.
  • Optimize model performance, latency, and cost through prompt engineering and model routing.
  • Monitor, evaluate, and continuously improve AI system reliability and effectiveness.
  • Translate production challenges into AI-driven solutions with measurable business impact.
  • Support continuous improvement through design reviews, experimentation, and best practices.
Should Have:
  • Cloud infrastructure experience, preferably with AWS.
  • Experience with containerized and serverless architectures.
  • Knowledge of infrastructure-as-code tools.
  • Experience mentoring or guiding engineers on AI system design.
Skills:
  • Python and multi-language programming expertise.
  • LLM integration and agent-based system design.
  • Retrieval-Augmented Generation (RAG).
  • Production ML deployment and monitoring.
  • Analytical and problem-solving skills.
  • Strong communication and collaboration skills.
Qualification and Education:
  • Bachelor s degree in Computer Science, Engineering, or related field, or equivalent experience.
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