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AI Engineer; Hybrid in NYC or CT

Job in Stamford, Fairfield County, Connecticut, 06925, USA
Listing for: Insight Global
Full Time position
Listed on 2026-02-15
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer (Hybrid in NYC or CT)

Overview

We are looking for a motivated and adaptable AI Engineer to help design, build, and deliver AI-powered features in a fast-paced environment. In this role, you will work closely with product managers, senior AI engineers, and AI platform engineers to bring evolving ideas to life while maintaining strong standards for security, correctness, and reliability. This role is well-suited for an engineer who is comfortable with change, eager to learn, and excited to contribute to real-world AI features.

Responsibilities
  • AI Feature Development:
    Contribute to the development and delivery of AI-powered features and services.
  • AI Feature Development:
    Implement solutions based on evolving requirements and changing priorities.
  • AI Feature Development:
    Assist with prototyping, experimentation, and iteration under the guidance of senior engineers.
  • AI Feature Development:
    Help move AI solutions from prototype to production-ready implementations.
  • Collaboration & Execution:
    Work closely with product managers to understand feature goals and user needs.
  • Collaboration & Execution:
    Collaborate with senior AI engineers and AI platform engineers to leverage shared tools, infrastructure, and best practices.
  • Collaboration & Execution:
    Participate in design discussions and technical reviews.
  • Collaboration & Execution:
    Adapt quickly to changing direction while maintaining focus on delivery.
  • Engineering Quality & Security:
    Follow established engineering standards for security, data handling, and access control.
  • Engineering Quality & Security:
    Write clean, testable, and maintainable code.
  • Engineering Quality & Security:
    Assist in implementing monitoring, logging, and basic evaluation for AI features.
  • Engineering Quality & Security:
    Help identify and troubleshoot issues related to performance, reliability, or model behavior.
  • AI Systems & Integration:
    Build and integrate AI solutions using techniques such as LLMs, APIs, and retrieval-based approaches.
  • AI Systems & Integration:
    Implement and iterate on prompts, workflows, and evaluation logic.
  • AI Systems & Integration:
    Integrate AI capabilities into existing applications and services.
  • AI Systems & Integration:
    Learn and apply best practices for deploying and operating AI systems in production.
Equal Opportunity

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to  To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements
  • 3–5 years of professional software engineering experience, with exposure to AI or ML systems and concepts.
  • Proficiency in Python or a similar language, Java script or Typescript frameworks for UI rendering.
  • Experience integrating APIs or third-party AI services.
  • Comfort working in fast-paced environments with changing priorities.
  • Solid understanding of software engineering fundamentals (APIs, testing, version control).
  • Awareness of security and data privacy considerations.
  • Experience with LLMs or modern AI frameworks.
  • Familiarity with cloud platforms and deploying services in production.
  • Exposure to prompt engineering, evaluation techniques, or AI monitoring.
  • Experience working on cross-functional product teams.
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