Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: AI Full Stack Engineer.
United States Jobs Expertini

Urgent! AI Full Stack Engineer Job Opening In Troy – Now Hiring Hearst

AI Full Stack Engineer



Job description

AI FULL STACK ENGINEER at MOTOR INFORMATION SYSTEMS

MOTOR Information Systems, an operating group of Hearst, is actively forming a team of enthusiastic, creative, and driven technologists.

People with a proven track record, who are willing to experiment with new ideas, invest time in them, fail-fast, and move on if they don't work out.

We want team members who have shown a consistent interest in continuous learning, especially in Generative AI, who are aware of, and follow the latest and best generative AI technologies and trends, can learn by themselves, are self-motivated and value self-directed initiative with technology and AI exploration.


Summary

  • As a Full Stack AI Engineer, you will be responsible for designing, developing, testing, and deploying AI-based applications that leverage large language models such as GPT, Gemini, and state of the art open-source models.

    You will leverage your advanced data science skills, resourcefulness and creativity to design out of the box solutions.

    You will work closely with other developers, product managers and customers to understand their needs and deliver high-quality solutions that meet or exceed their expectations.

    You will also contribute to the continuous improvement of our engineering practices and processes.

  • Key Responsibilities

  • Develop AI / ML Models and Intelligent Automation processes as needed
  • Design and implement scalable, robust, and efficient AI systems that use agents or large language models for various natural language processing tasks such as text generation, summarization, question answering, sentiment analysis, etc.
  • Optimize the performance, accuracy, and reliability of the AI systems using state-of-the-art techniques and tools.
  • Conduct code reviews, testing, debugging, and documentation of the AI systems.
  • Deploy and monitor the AI systems in production environments and ensure their availability and reliability.
  • Collaborate with product managers, data scientists, and customers to understand their requirements and provide feedback and suggestions for improvement.
  • Research and evaluate new technologies and trends in the AI and large language models domain and propose innovative solutions.
  • Qualifications and Skills

  • Master's degree or higher in Computer Science, Engineering, Mathematics, or related field.
  • At least 5 years of experience in software development, preferably in AI or natural language processing.
  • Excellent communication, collaboration, and problem-solving skills.
  • Must be proficient in Python and SQL.
  • Built at least 1-2 generative AI projects in the last 18 months using frameworks such as LangChain and LlamaIndex
  • Hands-on experience with large language models and agents such as GPT-4, Gemini, Llama, Mistral and their applications.
  • Strong knowledge of natural language processing concepts and techniques such as tokenization, embedding, attention, transformers, etc.
  • Experience with Pandas and/or polars and PyTorch experience is desired.
  • Experience with big data technologies such as Pyspark 
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud and their AI services.
  • Experience with agile development methodologies and tools such as Azure DevOps or Git.
  • Excellent communication, collaboration, and problem-solving skills.
  • Passionate about learning new technologies and staying updated with the latest developments in the AI and large language models’ field.
  • EEO EMPLOYER


    Required Skill Profession

    Computer Occupations



    Your Complete Job Search Toolkit

    ✨ Smart • Intelligent • Private • Secure

    Start Using Our Tools

    Join thousands of professionals who've advanced their careers with our platform

    Rate or Report This Job
    If you feel this job is inaccurate or spam kindly report to us using below form.
    Please Note: This is NOT a job application form.


      Unlock Your AI Full Potential: Insight & Career Growth Guide


    • Real-time AI Full Jobs Trends in Troy, United States (Graphical Representation)

      Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AI Full in Troy, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 100145 jobs in United States and 206 jobs in Troy. This comprehensive analysis highlights market share and opportunities for professionals in AI Full roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

    • Are You Looking for AI Full Stack Engineer Job?

      Great news! is currently hiring and seeking a AI Full Stack Engineer to join their team. Feel free to download the job details.

      Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    • The Work Culture

      An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Hearst adheres to the cultural norms as outlined by Expertini.

      The fundamental ethical values are:
      • 1. Independence
      • 2. Loyalty
      • 3. Impartiality
      • 4. Integrity
      • 5. Accountability
      • 6. Respect for human rights
      • 7. Obeying United States laws and regulations
    • What Is the Average Salary Range for AI Full Stack Engineer Positions?

      The average salary range for a varies, but the pay scale is rated "Standard" in Troy. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    • What Are the Key Qualifications for AI Full Stack Engineer?

      Key qualifications for AI Full Stack Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

    • How Can I Improve My Chances of Getting Hired for AI Full Stack Engineer?

      To improve your chances of getting hired for AI Full Stack Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    • Interview Tips for AI Full Stack Engineer Job Success
      Hearst interview tips for AI Full Stack Engineer

      Here are some tips to help you prepare for and ace your job interview:

      Before the Interview:
      • Research: Learn about the Hearst's mission, values, products, and the specific job requirements and get further information about
      • Other Openings
      • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
      • Dress Professionally: Choose attire appropriate for the company culture.
      • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
      • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
      During the Interview:
      • Be Punctual: Arrive on time to demonstrate professionalism and respect.
      • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
      • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
      • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
      • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
      • Follow Up: Send a thank-you email to the interviewer within 24 hours.
      Additional Tips:
      • Be Yourself: Let your personality shine through while maintaining professionalism.
      • Be Honest: Don't exaggerate your skills or experience.
      • Be Positive: Focus on your strengths and accomplishments.
      • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
      • Turn Off Phone: Avoid distractions during the interview.
      Final Thought:

      To prepare for your AI Full Stack Engineer interview at Hearst, research the company, understand the job requirements, and practice common interview questions.

      Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Hearst's products or services and be prepared to discuss how you can contribute to their success.

      By following these tips, you can increase your chances of making a positive impression and landing the job!

    • How to Set Up Job Alerts for AI Full Stack Engineer Positions

      Setting up job alerts for AI Full Stack Engineer is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!