AI Engineer (Hybrid in NYC or CT)
MSCCN - Stamford, CT
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Job Description 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 u2022u2003Contribute to the development and delivery of AI-powered features and services. u2022u2003Implement solutions based on evolving requirements and changing priorities. u2022u2003Assist with prototyping, experimentation, and iteration under the guidance of senior engineers. u2022u2003Help move AI solutions from prototype to production-ready implementations. Collaboration & Execution u2022u2003Work closely with product managers to understand feature goals and user needs. u2022u2003Collaborate with senior AI engineers and AI platform engineers to leverage shared tools, infrastructure, and best practices. u2022u2003Participate in design discussions and technical reviews. u2022u2003Adapt quickly to changing direction while maintaining focus on delivery. Engineering Quality & Security u2022u2003Follow established engineering standards for security, data handling, and access control. u2022u2003Write clean, testable, and maintainable code. u2022u2003Assist in implementing monitoring, logging, and basic evaluation for AI features. u2022u2003Help identify and troubleshoot issues related to performance, reliability, or model behavior. AI Systems & Integration u2022u2003Build and integrate AI solutions using techniques such as LLMs, APIs, and retrieval-based approaches. u2022u2003Implement and iterate on prompts, workflows, and evaluation logic. u2022u2003Integrate AI capabilities into existing applications and services. u2022u2003Learn and apply best practices for deploying and operating AI systems in production. 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 learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements u2022u20033u20135 years of professional software engineering experience, with exposure to AI or ML systems and concepts. u2022u2003Proficiency in Python or a similar language, Javascript or Typescript frameworks for UI rendering. u2022u2003Experience integrating APIs or third-party AI services. u2022u2003Comfort working in fast-paced environments with changing priorities. u2022u2003Solid understanding of software engineering fundamentals (APIs, testing, version control). u2022u2003Awareness of security and data privacy considerations. u2022u2003Experience with LLMs or modern AI frameworks. u2022u2003Familiarity with cloud platforms and deploying services in production. u2022u2003Exposure to prompt engineering, evaluation techniques, or AI monitoring. u2022u2003Experience working on cross-functional product teams.
Created: 2026-02-12