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AI Engineer - Product Integration

AI Engineer - Product Integration

ConfidentialAhmedabad, India
21 days ago
Job description

Job Title : AI Engineer – Product Integration

Company : Momentum91

Location : Ahmedabad, Gujarat

About Us

At Momentum91, we specialize in providing scalable, high-performance IT and software

development teams through our Offshore Development Centre (ODC) model. As a part

of the DevX Group, we enable global companies to establish dedicated, culturally

aligned engineering teams in India combining world-class talent, infrastructure, and

operational excellence. Our expertise spans AI led product engineering, data platforms,

cloud solutions, and digital transformation initiatives for mid-market and enterprise

clients worldwide.

Position Overview

We are seeking a highly driven AI Engineer with 3 to 5 years of experience in

researching, designing, and integrating AI-based solutions within digital products. The

ideal candidate will be responsible for identifying relevant AI use cases, developing

proof-of-concepts, and implementing scalable AI models that enhance functionality

across multiple product lines — including CRM, marketplace, contracts, and data

systems. You will collaborate closely with product, backend, and system architecture

teams to define and operationalize the AI roadmap for a connected proptech

ecosystem.

Key Responsibilities

  • Research and evaluate AI / ML technologies, frameworks, and APIs suitable for various

business use cases.

  • Design and develop prototypes or POCs to validate AI-driven features and workflows.
  • Implement and integrate AI models into production environments in collaboration
  • with engineering teams.

  • Identify opportunities for automation, prediction, recommendation, and
  • personalization within existing modules.

  • Work with structured and unstructured data to train, fine-tune, and optimize models.
  • Collaborate with product managers, designers, and engineers to align AI initiatives
  • with overall product vision.

  • Stay up to date with the latest trends in AI / ML, LLMs, and generative AI tools to assess
  • potential adoption.

  • Evaluate and integrate third-party AI tools or APIs (e.g., OpenAI, Hugging Face, Google
  • Vertex AI, AWS Bedrock).

  • Define metrics for evaluating model performance, user impact, and ROI of AI
  • features.

  • Document AI system design, implementation approach, and model lifecycle
  • management.

    Technical Requirements

  • Strong programming skills in Python and experience with frameworks like TensorFlow,
  • PyTorch, or Scikit-learn.

  • Understanding of modern NLP, computer vision, and recommendation system
  • techniques.

  • Experience with integrating AI services via APIs or SDKs into full-stack applications.
  • Knowledge of cloud-based AI tools and services (AWS SageMaker, Azure AI, Google
  • Vertex AI).

  • Familiarity with vector databases, embeddings, and retrieval-augmented generation
  • (RAG) methods.

  • Proficiency in working with REST APIs and microservice architectures.
  • Strong understanding of data preprocessing, feature engineering, and model
  • deployment pipelines.

  • Experience with prompt engineering and fine-tuning large language models is a plus.
  • Understanding of MLOps concepts and version control for model lifecycle
  • management.

    Required Qualifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, or related technical
  • field.

  • 3 to 5 years of hands-on experience in building or integrating AI-based solutions into
  • products.

  • Proven ability to translate product requirements into actionable AI implementation
  • plans.

  • Experience in PropTech, CRM, or enterprise SaaS domains will be a plus.
  • Excellent communication and collaboration skills to work with multidisciplinary
  • teams.

  • A Master's degree or certifications in AI / ML (AWS, Azure, or Google Cloud AI Engineer)
  • would be an added advantage.

    Benefits

  • Competitive Salary
  • Fun, inclusive, and vibrant company culture
  • Five-day workweek
  • Professional development opportunities
  • Opportunity to be part of a rapidly growing company
  • Skills Required

    Tensorflow, Nlp, MLops, Computer Vision, Pytorch, Rest Apis, Python

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